T 13 T 13 T 13 T PolSAR H V x S HV S HV = S VH. 1 Coherency [S] Pauli k P [ ] S HH S HV [S] = S VH S VV S HH + S VV = k p = 1 S HH S VV S HV (
|
|
- たつや えんの
- 5 years ago
- Views:
Transcription
1 a) On the Model-Based Scattering Power Decomposition of Fully Polarimetric SAR Data Yoshio YAMAGUCHI a), Gulab SINGH, and Hiroyoshi YAMADA (PolSAR) PolSAR Coherency 9 Coherency 6 1. (PolSAR) PolSAR [1] [4] PolSAR 3x3 Covariance Coherency 4x4 Kennaugh 9 [] [5] Faculty of Engineering, Niigata University, 050 Ikarashi, Nishi-ku, Niigata-shi, Japan CSRE, Indian Institute of Technology Bombay, Powai, Mumbai-76, India a) yamaguch@ie.niigata-u.ac.jp DOI: /transcomj.01API0001 Entropy/α/Anisotropy [6] [4] Covariance [7], [] Coherency Coherency 3 FDD (Freeman & Durden Decomposition [7]) 4 Y40 [] 4 Y4R [9] S4R [10] 100% G4U [11] [1] [13], [14] Coherency T 13. T B Vol. J101 B No. 9 pp c 01
2 T 13 T 13 T 13 T PolSAR H V x S HV S HV = S VH. 1 Coherency [S] Pauli k P [ ] S HH S HV [S] = S VH S VV S HH + S VV = k p = 1 S HH S VV S HV (1) k P Coherency [T ] = 1 n n kp kp t = T 11 T 1 T 13 T1 T T 3 T 13 T 3 T 33 () t n T 11 = 1 SHH + SV V, T = 1 SHH SV V, T 1 = 1 (SHH + SV V)(SHH SV V), T 33 = S HV, T 13 = SHV (S HH + S VV), T 3 = SHV (S HH S VV) (3) Coherency () Covariance Kennuagh [5] 9 Fitting 9 FDD [7] 3 T 1 5 5/9 T 13, T 3 Y40 [] Reflection Symmetry S HHSHV S VVSHV 0 Helix T 3 6/9 Y4R [9] Coherency θ = 1 ( ) Re{T3} tan 1 (4) T T [R(θ)] = 0 cos θ sin θ (5) 0 sin θ cos θ [T (θ)] =[R(θ)] [T ] [R(θ)] t (6) 639
3 01/9 Vol. J101 B No. 9 T 11(θ)=T 11 (6a) T 1(θ)=T 1 cos θ +T 13 sin θ (6b) T 13(θ)=T 13 cos θ T 1 sin θ (6c) T (θ)=t cos θ +T 33 sin θ +Re{T 3} sin 4θ (6d) T 33(θ)=T 33 cos θ +T sin θ Re{T 3} sin 4θ (6e) T 3(θ)=j Im{T 3} (6f) (6f) T 3(θ) 0 T 33 T T 3 Helix T 33 Coherency 9 Y4R 6/ G4U [11] (6f) T T 13 7/7 100% T 13 T 13 ± HH VV Re{S HHS VV} > 0 (7a) HH VV Re{S HHS VV} < 0 (7b) HH HV VV HV 0 Reflection Symmetry S HHS HV S VVS HV 0 (7c) Helix Reflection Symmetry Im S HV (S HH S VV) (7d) Coherency β [T ] s = 1 1+ β 1 β 0 β β 0 () α α α 0 1 [T ] d = 1+ α α 1 0 (9) Fig Scattering models and the corresponding powers. [10] [T ] uniform v = , 640
4 [T ] cos v = 1 30 [T ] sin v = 1 30 [T ] CR v = 1 15 Helix [T ] r l helix = , , 0 1 ±j 0 j 1 (10) (11) Coherency T 13 T 13 0 T 13 T 13 ±45 Re{T 13} [T ] ±45 od = ±1 ±1 0 1 (1) ±45 Im{T 13} [T ] ± cd = ±j (13) j 0 1 d 4 [16] H V ±45 d T 13 Fig. Scattering model for T 13 component by compound oriented dipoles with spacing d. ( ) ( ) λ 3λ [S] cd 1 =[S] 1 +[S] 1P +[S] P ( ) 4λ +[S] P [ ] [ ] [ ] = j j [ ] [ ] j = 1 1 j 1 ( ) ( ) [S] cd λ 3λ =[S] 1 +[S] P +[S] 1P ( ) 4λ +[S] P [ ] [ ] [ ] = j j [ ] [ ] j = 1 1 j 1 P T
5 01/9 Vol. J101 B No. 9 (1) (13) T Total Power: TP = P s + P d + P v + P h + P od + P cd (14) P s P d P v P h Helix P od 45 P cd Compound (6SD: 6-component Scattering Power Decomposition) () (13) P i (i = s, d, v, h, od, cd) (14) Coherency (6) [T (θ)] = P s[t ] s + P d [T ] d + P v[t ] v + P h [T ] h + P od [T ] od + P cd [T ] cd (15) T 11(θ) T 1(θ) T 13(θ) T 1(θ) T (θ) T 3(θ) T 31(θ) T 3(θ) T 33(θ) 1 β 0 = Ps 1+ β β β 0 + P α α 0 d 1+ α α Pv P h 0 1 ±j j 1 + P od + P cd 1 0 ±1 ± ±j j 0 1 T 3(θ) =j Im{T 3} = ±j P h T 13(θ) =± P od ± j P cd T 33(θ) = Pv 4 + P h + P od + P cd (16) P h P od P cd P v P h = Im{T 3(θ)}, P od = Re{T 13(θ)}, P cd = Im{T 13(θ)}, P v =[T 33(θ) P h P od P cd ] (17) P s P d α β P s 1+ β + P d α 1+ α = S P s β 1+ β + P d 1+ α = D (1) P sβ 1+ β + P dα 1+ α = C S = T 11(θ) Pv P od P cd D = T (θ) Pv 4 P h C = T 1(θ) (19) [7] [11] α =0 β =0 C 0 =T 11 + P h TP (0) [9] P s P d C 0 > 0 α =0 P s = S + C S, P d = D C S (1) 64
6 Fig Flow-chart for 6-component scattering power decomposition. 643
7 01/9 Vol. J101 B No. 9 C 0 < 0 β =0 P s = S C D, P d = D + C D () (15) (16) 3 [7] 4 [] [11] 6 (6SD) 3. Coherency Re{T 3} =0 3 P h P od P cd 5 (16) P v P s P d RGB 3 RGB R P d G P v B P s Helix P h 45 P od Compound P cd ALOS Off nadir FDD 3 [7] 5/9 4 Fig. 4 Scattering power decomposition image of San Francisco. Fully polarimetric data: ALOS c JAXA. 45 FDD Reflection Symmetry Y40 [] Helix 4 FDD 644
8 G4U [13] 6SD Google Earth 4 5 G4U 6SD Web [17] 5. PiSAR- PiSAR- NICT X 30cm PolSAR Fig. 5 5 Comparison of decomposition result. 6 PiSAR-X Fig. 6 Time series fully polarimetric radar image near Minami-Aso, before and after Kumamoto earthquake. Observation by PiSAR-X on 015/1/05(up) and 016/04/17(low). 645
9 01/9 Vol. J101 B No. 9 7 Fig. 7 6 Close-up image of landslide at Minami-Aso village of Fig G4U 6 P s P d P v 6 7 5x 5 imaging window Web [17] 6. Coherency T % ALOS JAXA, NICT [1] ESA, [] S.R. Cloude and E. Pottier, A review of target decomposition theorems in radar polarimetry, IEEE Trans. Geosci. Remote Sens., vol.34, no., pp.49 51, March DOI: / [3] 007. [4] J.S. Lee and E. Pottier, Polarimetric Radar Imaging: from basics to applications, CRC Press, 009. [5] B vol.j9-b, no.9, pp , Sept [6] S.R. Cloude and E. Pottier, An entropy based classification scheme for land applications of polarimetric SAR, IEEE Trans. Geosci. Remote Sens., vol.35, no.1, pp.6 7, Jan DOI: / [7] A. Freeman and S. Durden, A three-component scattering model for polarimetric SAR data, IEEE Trans. Geosci. Remote Sens., vol.36, no.3, pp , May 199. DOI: / [] Y. Yamaguchi, T. Moriyama, M. Ishido, and H. Yamada, Four-component scattering model for polarimetric SAR image decomposition, IEEE Trans. Geosci. Remote Sens., vol.43, no., pp , Aug DOI: /TGRS [9] Y. Yamaguchi, A. Sato, W.-M. Boerner, R. Sato, and H. Yamada, Four-component scattering power decomposition with rotation of coherency matrix, IEEE Trans. Geosci. Remote Sens., vol.49, no.6, pp.51 5, June 011. DOI: /TGRS
10 [10] A. Sato, Y. Yamaguchi, G. Singh, and S.-E. Park, Four-component scattering power decomposition with extended volume scattering model, IEEE Geosci. Remote Sens. Lett., vol.9, no., pp , 01. DOI: /LGRS [11] G. Singh, Y. Yamaguchi, and S.-E. Park, General four-component scattering power decomposition with unitary transformation of coherency matrix, IEEE Trans. Geosci. Remote Sens., vol.51, no.5, pp , March 013. DOI: /TGRS [1] M. Arii, J. van Zyl, and Y. Kim, Adaptive modelbased decomposition of polarimetric SAR covariance matrices, IEEE Trans. Geosci. Remote Sens., vol.49, no.3, pp , March 011. DOI: / TGRS [13] S.-W. Chen, X. songwang, S. ping Xiao, and M. Sato, General polarimetric model-based decomposition for coherency matrix, IEEE Trans. Geosci. Remote Sens., vol.5, no.3, pp , March 014. DOI: /TGRS [14] Y. Cui, Y. Yamaguchi, J. Yang, H. Kobayashi, S.-E. Park, and G. Singh, On complete model-based decomposition of polarimetric SAR coherency matrix data, IEEE Trans. Geosci. Remote Sens., vol.5, no.4, pp , April 014. DOI: / TGRS [15] G. Singh and Y. Yamaguchi, Model-based and six component scattering power decomposition, Electronic Proc. of IGARSS 017, DOI: /IGARSS , July 017. [16] K. Kitayama, Y. Yamaguchi, J. Yang, and H. Yamada, Compound scattering matrix of targets aligned in the range direction, IEICE Trans. Commun., vol.e4-b, no.1, pp.1, Jan [17] ie.niigata-u.ac.jp/yamaguchi/ Gulab SINGH 199 Chaudhary Charan Singh University Meerut (India) 010 Ph.D. Degree Assistant Professor at Indian Institute of Technology Bombay India NASA MIMO SAR 3 IEEE AP-S Young Engineer Award 9 1 IEEE IEEE&IEICE Fellow 19 IEEE GRSS Education Award (00) Distinguished Achievement Award (017)
研究成果報告書
様式 C 19 F 19 1 Z 19 CK 19( 共通 ) 1. 研究開始当初の背景偏波合成開口レーダを搭載した日本の陸域観測人工衛星 ALOS2 が 2014 年 5 月 24 日に打ち上げられた. 主に地震, 洪水, 土砂崩れ, 火山, などの災害監視が目的である.L バンドの高分解能な偏波レーダによって宇宙から地球観測が可能となったが, 専門家以外には偏波データの利用方法は知られていないのが実情であった.
More information(a) (b) (c) Canny (d) 1 ( x α, y α ) 3 (x α, y α ) (a) A 2 + B 2 + C 2 + D 2 + E 2 + F 2 = 1 (3) u ξ α u (A, B, C, D, E, F ) (4) ξ α (x 2 α, 2x α y α,
[II] Optimization Computation for 3-D Understanding of Images [II]: Ellipse Fitting 1. (1) 2. (2) (edge detection) (edge) (zero-crossing) Canny (Canny operator) (3) 1(a) [I] [II] [III] [IV ] E-mail sugaya@iim.ics.tut.ac.jp
More informationxx/xx Vol. Jxx A No. xx 1 Fig. 1 PAL(Panoramic Annular Lens) PAL(Panoramic Annular Lens) PAL (2) PAL PAL 2 PAL 3 2 PAL 1 PAL 3 PAL PAL 2. 1 PAL
PAL On the Precision of 3D Measurement by Stereo PAL Images Hiroyuki HASE,HirofumiKAWAI,FrankEKPAR, Masaaki YONEDA,andJien KATO PAL 3 PAL Panoramic Annular Lens 1985 Greguss PAL 1 PAL PAL 2 3 2 PAL DP
More informationセンシングシステム
1 レーダセンシングシステム 第1章 レーダセンシングの基礎 レーダという言葉はRadio Detection And Rangingの頭文字からきている レーダはこの英語 のごとく 電波の遅延時間を使ってターゲットまでの距離を求め 反射波の強度によってター ゲットの検出を行う装置である 図1(a)のように送信アンテナと受信アンテナが同じ位置にあるも のをモノスタティックレーダ, 図(b)のように異なる位置にあるものをバイスタティックレーダとい
More information5b_08.dvi
, Circularly Polarized Patch Antennas Combining Different Shaped Linealy Polarized Elements Takanori NORO,, Yasuhiro KAZAMA, Masaharu TAKAHASHI, and Koichi ITO 1. GPS LAN 10% [1] Graduate School of Science
More information1.indd
14 15 6 april 6 16 17 18 april 18 april 18 19 28 april 20 21 28 april 22 23 21 may 24 25 10 june 21 may 26 27 10 june 28 29 12 june 30 31 12 25 june 32 33 25 34 35 4 july 37 36 38 39 25 july 25 july 40
More information2007/8 Vol. J90 D No. 8 Stauffer [7] 2 2 I 1 I 2 2 (I 1(x),I 2(x)) 2 [13] I 2 = CI 1 (C >0) (I 1,I 2) (I 1,I 2) Field Monitoring Server
a) Change Detection Using Joint Intensity Histogram Yasuyo KITA a) 2 (0 255) (I 1 (x),i 2 (x)) I 2 = CI 1 (C>0) (I 1,I 2 ) (I 1,I 2 ) 2 1. [1] 2 [2] [3] [5] [6] [8] Intelligent Systems Research Institute,
More informationmain.dvi
FDTD S A Study on FDTD Analysis based on S-Parameter 18 2 7 04GD168 FDTD FDTD S S FDTD S S S S FDTD FDTD i 1 1 1.1 FDTD.................................... 1 1.2 FDTD..................... 3 2 S 5 2.1 FDTD
More informationFig. 3 Flow diagram of image processing. Black rectangle in the photo indicates the processing area (128 x 32 pixels).
Fig. 1 The scheme of glottal area as a function of time Fig. 3 Flow diagram of image processing. Black rectangle in the photo indicates the processing area (128 x 32 pixels). Fig, 4 Parametric representation
More informationTHE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE. UWB UWB
THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE. UWB -1 E-mail: seki@aso.cce.i.koto-u.ac.jp UWB SEABED SEABED SEABED,,, SEABED Application of fast imaging
More information2003/3 Vol. J86 D II No.3 2.3. 4. 5. 6. 2. 1 1 Fig. 1 An exterior view of eye scanner. CCD [7] 640 480 1 CCD PC USB PC 2 334 PC USB RS-232C PC 3 2.1 2
Curved Document Imaging with Eye Scanner Toshiyuki AMANO, Tsutomu ABE, Osamu NISHIKAWA, Tetsuo IYODA, and Yukio SATO 1. Shape From Shading SFS [1] [2] 3 2 Department of Electrical and Computer Engineering,
More information& Vol.5 No (Oct. 2015) TV 1,2,a) , Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Ro
TV 1,2,a) 1 2 2015 1 26, 2015 5 21 Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Rotation Using Mobile Device Hiroyuki Kawakita 1,2,a) Toshio Nakagawa 1 Makoto Sato
More informationP361
ΣAD -RFDAC - High-Speed Continuous-Time Bandpass ΣAD Modulator Architecture Employing Sub-Sampling Technnique with 376-8515 1-5-1 Masafumi Uemori Tomonari Ichikawa Haruo Kobayashi Department of Electronic
More informationa) Extraction of Similarities and Differences in Human Behavior Using Singular Value Decomposition Kenichi MISHIMA, Sayaka KANATA, Hiroaki NAKANISHI a
a) Extraction of Similarities and Differences in Human Behavior Using Singular Value Decomposition Kenichi MISHIMA, Sayaka KANATA, Hiroaki NAKANISHI a), Tetsuo SAWARAGI, and Yukio HORIGUCHI 1. Johansson
More informationJFE.dvi
,, Department of Civil Engineering, Chuo University Kasuga 1-13-27, Bunkyo-ku, Tokyo 112 8551, JAPAN E-mail : atsu1005@kc.chuo-u.ac.jp E-mail : kawa@civil.chuo-u.ac.jp SATO KOGYO CO., LTD. 12-20, Nihonbashi-Honcho
More information24 21 21115025 i 1 1 2 5 2.1.................................. 6 2.1.1........................... 6 2.1.2........................... 7 2.2...................................... 8 2.3............................
More information3D UbiCode (Ubiquitous+Code) RFID ResBe (Remote entertainment space Behavior evaluation) 2 UbiCode Fig. 2 UbiCode 2. UbiCode 2. 1 UbiCode UbiCode 2. 2
THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS HCG HUMAN COMMUNICATION GROUP SYMPOSIUM. UbiCode 243 0292 1030 E-mail: {ubicode,koide}@shirai.la, {otsuka,shirai}@ic.kanagawa-it.ac.jp
More informationMicrosoft PowerPoint - 電磁波の利用ーSAR-1
リモートセンシング技術 合成開口レーダ (SAR) の特長 受動センサ 太陽光などの物体表面での反射 熱によって発生する固有の電磁波 赤外線 可視光線 マイクロ波 ( これらの総称が電磁波 ) 海洋観測衛星 1 号 もも 1 号 (MOS-1) 物質による電磁波の反射と放射 光学センサとマイクロ波センサ JERS-1 ( ふよう ) JERS-1 は地球の全陸域を観測し 資源探査を主目的に国土調査
More information1 Kinect for Windows M = [X Y Z] T M = [X Y Z ] T f (u,v) w 3.2 [11] [7] u = f X +u Z 0 δ u (X,Y,Z ) (5) v = f Y Z +v 0 δ v (X,Y,Z ) (6) w = Z +
3 3D 1,a) 1 1 Kinect (X, Y) 3D 3D 1. 2010 Microsoft Kinect for Windows SDK( (Kinect) SDK ) 3D [1], [2] [3] [4] [5] [10] 30fps [10] 3 Kinect 3 Kinect Kinect for Windows SDK 3 Microsoft 3 Kinect for Windows
More informationSAWS 2001 Summer 3
Feature Articles Yoshio Yamaguchi 2 SAWS 2001 Summer SAWS 2001 Summer 3 ε = ε j ε ε ε 4 SAWS 2001 Summer ρ s ρ s m v SAWS 2001 Summer 5 Feature Articles Yoshio Yamaguchi 2 SAWS 2001 Autumn f t f f f f
More information0801391,繊維学会ファイバ12月号/報文-01-西川
Pattern Making Method and Evaluation by Dots of Monochrome Shigekazu Nishikawa 1,MarikoYoshizumi 1,andHajime Miyake 2 1 Miyagi University of Education, 149, Aramaki-aza-Aoba, Aoba-ku, Sendai-shi, Miyagi
More informationUWB a) Accuracy of Relative Distance Measurement with Ultra Wideband System Yuichiro SHIMIZU a) and Yukitoshi SANADA (Ultra Wideband; UWB) UWB GHz DLL
UWB a) Accuracy of Relative Distance Measurement with Ultra Wideband System Yuichiro SHIMIZU a) and Yukitoshi SANADA (Ultra Wideband; UWB) UWB GHz DLL UWB (DLL) UWB DLL 1. UWB FCC (Federal Communications
More informationA Study of Effective Application of CG Multimedia Contents for Help of Understandings of the Working Principles of the Internal Combustion Engine (The
A Study of Effective Application of CG Multimedia Contents for Help of Understandings of the Working Principles of the Internal Combustion Engine (The Learning Effects of the Animation and the e-learning
More information1 Fig. 1 Extraction of motion,.,,, 4,,, 3., 1, 2. 2.,. CHLAC,. 2.1,. (256 ).,., CHLAC. CHLAC, HLAC. 2.3 (HLAC ) r,.,. HLAC. N. 2 HLAC Fig. 2
CHLAC 1 2 3 3,. (CHLAC), 1).,.,, CHLAC,.,. Suspicious Behavior Detection based on CHLAC Method Hideaki Imanishi, 1 Toyohiro Hayashi, 2 Shuichi Enokida 3 and Toshiaki Ejima 3 We have proposed a method for
More information福光 寛 1‐37/1‐37
April 3, 1999 1999, 37 1999, 38 1999, 38 2004, 70 2004, 69 1998b, 37 1998b, 38-39 1998b, 43 1998b, 40 (1998b) (1999) (1999) (2006) 2006, 19 (2002) (2006) (2006) (2006) http://www.cae.org Released in Feb.
More informationN H km 10km 20km NAVI
28 3.1-1 28 N H28 1 2 3 4 5 5km 10km 20km 1 2 3 4 5 3.1-1 NAVI - 58 - 3.1-1 1 3 4 5 2-59 - 25km 18km 3.1-1 220 45 30 4 ASO-1 ASO-4 8 1 1) 3 320m 800m - 60 - 3.1-1 8 2010-61 - 3.1-2 - - ( ) 28 4 16 M7.3
More information4. C i k = 2 k-means C 1 i, C 2 i 5. C i x i p [ f(θ i ; x) = (2π) p 2 Vi 1 2 exp (x µ ] i) t V 1 i (x µ i ) 2 BIC BIC = 2 log L( ˆθ i ; x i C i ) + q
x-means 1 2 2 x-means, x-means k-means Bayesian Information Criterion BIC Watershed x-means Moving Object Extraction Using the Number of Clusters Determined by X-means Clustering Naoki Kubo, 1 Kousuke
More informationIPSJ SIG Technical Report Vol.2014-DPS-158 No.27 Vol.2014-CSEC-64 No /3/6 1,a) 2,b) 3,c) 1,d) 3 Cappelli Bazen Cappelli Bazen Cappelli 1.,,.,.,
1,a),b) 3,c) 1,d) 3 Cappelli Bazen Cappelli Bazen Cappelli 1.,,,,,.,,,,.,,.,,,,.,, 1 Department of Electrical Electronic and Communication Engineering Faculty of Science and Engineering Chuo University
More informationDEIM Forum 2017 E Netflix (Video on Demand) IP 4K [1] Video on D
DEIM Forum 2017 E1-1 700-8530 3-1-1 E-mail: inoue-y@mis.cs.okayama-u.ac.jp, gotoh@cs.okayama-u.ac.jp 1. Netflix (Video on Demand) IP 4K [1] Video on Demand ( VoD) () 2. 2. 1 VoD VoD 2. 2 AbemaTV VoD VoD
More informationnote1.dvi
(1) 1996 11 7 1 (1) 1. 1 dx dy d x τ xx x x, stress x + dx x τ xx x+dx dyd x x τ xx x dyd y τ xx x τ xx x+dx d dx y x dy 1. dx dy d x τ xy x τ x ρdxdyd x dx dy d ρdxdyd u x t = τ xx x+dx dyd τ xx x dyd
More information6 2 2 x y x y t P P = P t P = I P P P ( ) ( ) ,, ( ) ( ) cos θ sin θ cos θ sin θ, sin θ cos θ sin θ cos θ y x θ x θ P
6 x x 6.1 t P P = P t P = I P P P 1 0 1 0,, 0 1 0 1 cos θ sin θ cos θ sin θ, sin θ cos θ sin θ cos θ x θ x θ P x P x, P ) = t P x)p ) = t x t P P ) = t x = x, ) 6.1) x = Figure 6.1 Px = x, P=, θ = θ P
More informationTrial for Value Quantification from Exceptional Utterances 37-066593 1 5 1.1.................................. 5 1.2................................ 8 2 9 2.1.............................. 9 2.1.1.........................
More informationIPSJ SIG Technical Report 1, Instrument Separation in Reverberant Environments Using Crystal Microphone Arrays Nobutaka ITO, 1, 2 Yu KITANO, 1
1, 2 1 1 1 Instrument Separation in Reverberant Environments Using Crystal Microphone Arrays Nobutaka ITO, 1, 2 Yu KITANO, 1 Nobutaka ONO 1 and Shigeki SAGAYAMA 1 This paper deals with instrument separation
More informationSAR: Synthetic Aperture Radar 0.52 Radarsat SAR 2004 ALOS i
2002 Noise Reduction and Application of Ocean Images Using Synthetic Aperture Radar Slide-Look Processing 2003 2 21 1055147 SAR: Synthetic Aperture Radar 0.52 Radarsat SAR 2004 ALOS i 1 1 1.1 : : : : :
More informationさくらの個別指導 ( さくら教育研究所 ) A a 1 a 2 a 3 a n {a n } a 1 a n n n 1 n n 0 a n = 1 n 1 n n O n {a n } n a n α {a n } α {a
... A a a a 3 a n {a n } a a n n 3 n n n 0 a n = n n n O 3 4 5 6 n {a n } n a n α {a n } α {a n } α α {a n } a n n a n α a n = α n n 0 n = 0 3 4. ()..0.00 + (0.) n () 0. 0.0 0.00 ( 0.) n 0 0 c c c c c
More informationadmin SP_SJISmanual.dvi
1. H21 1-1 820-0067 680-41 TEL 0948-24-3355 FAX 0948-24-3356 E-mail soft@λsi.cird.or.jp ( 11 ) () () ()ANGLE () ( ) ( ) () ( ) ( ) () () (1) 21 7 14 ( ) 16 ( ) FSS 2009 20 (2) 21 9 17 ( ) 18 ( ) FAN (3)
More information28 Horizontal angle correction using straight line detection in an equirectangular image
28 Horizontal angle correction using straight line detection in an equirectangular image 1170283 2017 3 1 2 i Abstract Horizontal angle correction using straight line detection in an equirectangular image
More information(MIRU2008) HOG Histograms of Oriented Gradients (HOG)
(MIRU2008) 2008 7 HOG - - E-mail: katsu0920@me.cs.scitec.kobe-u.ac.jp, {takigu,ariki}@kobe-u.ac.jp Histograms of Oriented Gradients (HOG) HOG Shape Contexts HOG 5.5 Histograms of Oriented Gradients D Human
More information258 5) GPS 1 GPS 6) GPS DP 7) 8) 10) GPS GPS 2 3 4 5 2. 2.1 3 1) GPS Global Positioning System
Vol. 52 No. 1 257 268 (Jan. 2011) 1 2, 1 1 measurement. In this paper, a dynamic road map making system is proposed. The proposition system uses probe-cars which has an in-vehicle camera and a GPS receiver.
More information1 911 9001030 9:00 A B C D E F G H I J K L M 1A0900 1B0900 1C0900 1D0900 1E0900 1F0900 1G0900 1H0900 1I0900 1J0900 1K0900 1L0900 1M0900 9:15 1A0915 1B0915 1C0915 1D0915 1E0915 1F0915 1G0915 1H0915 1I0915
More informationyoo_graduation_thesis.dvi
200 3 A Graduation Thesis of College of Engineering, Chubu University Keypoint Matching of Range Data from Features of Shape and Appearance Yohsuke Murai 1 1 2 2.5D 3 2.1 : : : : : : : : : : : : : : :
More informationA Navigation Algorithm for Avoidance of Moving and Stationary Obstacles for Mobile Robot Masaaki TOMITA*3 and Motoji YAMAMOTO Department of Production
A Navigation Algorithm for Avoidance of Moving and Stationary Obstacles for Mobile Robot Masaaki TOMITA*3 and Motoji YAMAMOTO Department of Production System Engineering, Kyushu Polytecnic College, 1665-1
More informationP.1P.3 P.4P.7 P.8P.12 P.13P.25 P.26P.32 P.33
: : P.1P.3 P.4P.7 P.8P.12 P.13P.25 P.26P.32 P.33 27 26 10 26 10 25 10 0.7% 331 % 26 10 25 10 287,018 280,446 6,572 30,236 32,708 2,472 317,254 313,154 4,100 172,724 168,173 4,551 6,420 6,579 159 179,144
More informationuntitled
Web - - - - - - - - - - - - - - - - () () () sin θ,cosθ, tanθ () 3 5 () 4 () 12 5 r y 13 x x = r cosθ () y = r sinθ y = x tanθ P P () () A C 2,24 C -9- -10- -11- -12- 9 9 10 10-13- 4 4 4 1 0.5 4 10 30
More information85 4
85 4 86 Copright c 005 Kumanekosha 4.1 ( ) ( t ) t, t 4.1.1 t Step! (Step 1) (, 0) (Step ) ±V t (, t) I Check! P P V t π 54 t = 0 + V (, t) π θ : = θ : π ) θ = π ± sin ± cos t = 0 (, 0) = sin π V + t +V
More informationUnknown
Journal of Breast and Thyroid Sonology Journal of Breast and Thyroid Sonology Vol.2, No.3 July 2013 Report The 30 th Meeting of Japan Association of Breast and Thyroid Sonology... 1 Department of Organ
More information1. 1 A : l l : (1) l m (m 3) (2) m (3) n (n 3) (4) A α, β γ α β + γ = 2 m l lm n nα nα = lm. α = lm n. m lm 2β 2β = lm β = lm 2. γ l 2. 3
1. 1 A : l l : (1) l m (m 3) (2) m (3) n (n 3) (4) A 2 1 2 1 2 3 α, β γ α β + γ = 2 m l lm n nα nα = lm. α = lm n. m lm 2β 2β = lm β = lm 2. γ l 2. 3 4 P, Q R n = {(x 1, x 2,, x n ) ; x 1, x 2,, x n R}
More informationTable 1. Reluctance equalization design. Fig. 2. Voltage vector of LSynRM. Fig. 4. Analytical model. Table 2. Specifications of analytical models. Fig
Mover Design and Performance Analysis of Linear Synchronous Reluctance Motor with Multi-flux Barrier Masayuki Sanada, Member, Mitsutoshi Asano, Student Member, Shigeo Morimoto, Member, Yoji Takeda, Member
More informationAutumn II III Zon and Muysken 2005 Zon and Muysken 2005 IV II 障害者への所得移転の経済効果 分析に用いるデータ
212 Vol. 44 No. 2 I はじめに 2008 1 2 Autumn 08 213 II III Zon and Muysken 2005 Zon and Muysken 2005 IV II 障害者への所得移転の経済効果 17 18 1 分析に用いるデータ 1 2005 10 12 200 2 2006 9 12 1 1 2 129 35 113 3 1 2 6 1 2 3 4 4 1
More information地中レーダによる地下計測
2001 7 sato@cneas.tohoku.ac.jp Tel&Fax:022-217-6075 1 (Ground Penetrating radar: GPR) ( ) 2 2.1 10MHz ε r c 3 v = = 10 8 ( m/ s) (1) ε ε r r 1 f (Hz) λ (m) ε r λ = vt = v f ( m) (2) 2.2 1 1 τ (s) d(m)
More information1_26.dvi
C3PV 1,a) 2,b) 2,c) 3,d) 1,e) 2012 4 20, 2012 10 10 C3PV C3PV C3PV 1 Java C3PV 45 38 84% Programming Process Visualization for Supporting Students in Programming Exercise Hiroshi Igaki 1,a) Shun Saito
More information149 (Newell [5]) Newell [5], [1], [1], [11] Li,Ryu, and Song [2], [11] Li,Ryu, and Song [2], [1] 1) 2) ( ) ( ) 3) T : 2 a : 3 a 1 :
Transactions of the Operations Research Society of Japan Vol. 58, 215, pp. 148 165 c ( 215 1 2 ; 215 9 3 ) 1) 2) :,,,,, 1. [9] 3 12 Darroch,Newell, and Morris [1] Mcneil [3] Miller [4] Newell [5, 6], [1]
More information: u i = (2) x i Smagorinsky τ ij τ [3] ij u i u j u i u j = 2ν SGS S ij, (3) ν SGS = (C s ) 2 S (4) x i a u i ρ p P T u ν τ ij S c ν SGS S csgs
15 C11-4 Numerical analysis of flame propagation in a combustor of an aircraft gas turbine, 4-6-1 E-mail: tominaga@icebeer.iis.u-tokyo.ac.jp, 2-11-16 E-mail: ntani@iis.u-tokyo.ac.jp, 4-6-1 E-mail: itoh@icebeer.iis.u-tokyo.ac.jp,
More informationVol.55 No (Jan. 2014) saccess 6 saccess 7 saccess 2. [3] p.33 * B (A) (B) (C) (D) (E) (F) *1 [3], [4] Web PDF a m
Vol.55 No.1 2 15 (Jan. 2014) 1,a) 2,3,b) 4,3,c) 3,d) 2013 3 18, 2013 10 9 saccess 1 1 saccess saccess Design and Implementation of an Online Tool for Database Education Hiroyuki Nagataki 1,a) Yoshiaki
More informationIsogai, T., Building a dynamic correlation network for fat-tailed financial asset returns, Applied Network Science (7):-24, 206,
H28. (TMU) 206 8 29 / 34 2 3 4 5 6 Isogai, T., Building a dynamic correlation network for fat-tailed financial asset returns, Applied Network Science (7):-24, 206, http://link.springer.com/article/0.007/s409-06-0008-x
More informationAC Modeling and Control of AC Motors Seiji Kondo, Member 1. q q (1) PM (a) N d q Dept. of E&E, Nagaoka Unive
AC Moeling an Control of AC Motors Seiji Kono, Member 1. (1) PM 33 54 64. 1 11 1(a) N 94 188 163 1 Dept. of E&E, Nagaoka University of Technology 163 1, Kamitomioka-cho, Nagaoka, Niigata 94 188 (a) 巻数
More informationIPSJ SIG Technical Report Vol.2012-CG-149 No.13 Vol.2012-CVIM-184 No /12/4 3 1,a) ( ) DB 3D DB 2D,,,, PnP(Perspective n-point), Ransa
3,a) 3 3 ( ) DB 3D DB 2D,,,, PnP(Perspective n-point), Ransac. DB [] [2] 3 DB Web Web DB Web NTT NTT Media Intelligence Laboratories, - Hikarinooka Yokosuka-Shi, Kanagawa 239-0847 Japan a) yabushita.hiroko@lab.ntt.co.jp
More informationFig. 1. Horizontal displacement of the second and third order triangulation points accompanied with the Tottori Earthquake of (after SATO, 1973)
Journal of the Geodetic Society of Japan Vol. 27, No. 3, (1981), pp. 183-191 Research on Fault Movement by means of Aero-Triangulation ( T) (An experiment on the earthquake fault of the Izu-Oshima Kinkai
More informationAccuracy Improvement by Compound Discriminant Functions for Resembling Character Recognition Takashi NAKAJIMA, Tetsushi WAKABAYASHI, Fumitaka KIMURA,
Journal Article / 学 術 雑 誌 論 文 混 合 識 別 関 数 による 類 似 文 字 認 識 の 高 精 度 化 Accuracy improvement by compoun for resembling character recogn 中 嶋, 孝 ; 若 林, 哲 史 ; 木 村, 文 隆 ; 三 宅, 康 二 Nakajima, Takashi; Wakabayashi,
More information重力方向に基づくコントローラの向き決定方法
( ) 2/Sep 09 1 ( ) ( ) 3 2 X w, Y w, Z w +X w = +Y w = +Z w = 1 X c, Y c, Z c X c, Y c, Z c X w, Y w, Z w Y c Z c X c 1: X c, Y c, Z c Kentaro Yamaguchi@bandainamcogames.co.jp 1 M M v 0, v 1, v 2 v 0 v
More information23 Fig. 2: hwmodulev2 3. Reconfigurable HPC 3.1 hw/sw hw/sw hw/sw FPGA PC FPGA PC FPGA HPC FPGA FPGA hw/sw hw/sw hw- Module FPGA hwmodule hw/sw FPGA h
23 FPGA CUDA Performance Comparison of FPGA Array with CUDA on Poisson Equation (lijiang@sekine-lab.ei.tuat.ac.jp), (kazuki@sekine-lab.ei.tuat.ac.jp), (takahashi@sekine-lab.ei.tuat.ac.jp), (tamukoh@cc.tuat.ac.jp),
More information,4) 1 P% P%P=2.5 5%!%! (1) = (2) l l Figure 1 A compilation flow of the proposing sampling based architecture simulation
1 1 1 1 SPEC CPU 2000 EQUAKE 1.6 50 500 A Parallelizing Compiler Cooperative Multicore Architecture Simulator with Changeover Mechanism of Simulation Modes GAKUHO TAGUCHI 1 YOUICHI ABE 1 KEIJI KIMURA 1
More information1 12 ( )150 ( ( ) ) x M x 0 1 M 2 5x 2 + 4x + 3 x 2 1 M x M 2 1 M x (x + 1) 2 (1) x 2 + x + 1 M (2) 1 3 M (3) x 4 +
( )5 ( ( ) ) 4 6 7 9 M M 5 + 4 + M + M M + ( + ) () + + M () M () 4 + + M a b y = a + b a > () a b () y V a () V a b V n f() = n k= k k () < f() = log( ) t dt log () n+ (i) dt t (n + ) (ii) < t dt n+ n
More informationVol.54 No (July 2013) [9] [10] [11] [12], [13] 1 Fig. 1 Flowchart of the proposed system. c 2013 Information
Vol.54 No.7 1937 1950 (July 2013) 1,a) 2012 11 1, 2013 4 5 1 Similar Sounds Sentences Generator Based on Morphological Analysis Manner and Low Class Words Masaaki Kanakubo 1,a) Received: November 1, 2012,
More information[2] OCR [3], [4] [5] [6] [4], [7] [8], [9] 1 [10] Fig. 1 Current arrangement and size of ruby. 2 Fig. 2 Typography combined with printing
1,a) 1,b) 1,c) 2012 11 8 2012 12 18, 2013 1 27 WEB Ruby Removal Filters Using Genetic Programming for Early-modern Japanese Printed Books Taeka Awazu 1,a) Masami Takata 1,b) Kazuki Joe 1,c) Received: November
More information1 (1) ( i ) 60 (ii) 75 (iii) 315 (2) π ( i ) (ii) π (iii) 7 12 π ( (3) r, AOB = θ 0 < θ < π ) OAB A 2 OB P ( AB ) < ( AP ) (4) 0 < θ < π 2 sin θ
1 (1) ( i ) 60 (ii) 75 (iii) 15 () ( i ) (ii) 4 (iii) 7 1 ( () r, AOB = θ 0 < θ < ) OAB A OB P ( AB ) < ( AP ) (4) 0 < θ < sin θ < θ < tan θ 0 x, 0 y (1) sin x = sin y (x, y) () cos x cos y (x, y) 1 c
More information2.2 (a) = 1, M = 9, p i 1 = p i = p i+1 = 0 (b) = 1, M = 9, p i 1 = 0, p i = 1, p i+1 = 1 1: M 2 M 2 w i [j] w i [j] = 1 j= w i w i = (w i [ ],, w i [
RI-002 Encoding-oriented video generation algorithm based on control with high temporal resolution Yukihiro BANDOH, Seishi TAKAMURA, Atsushi SHIMIZU 1 1T / CMOS [1] 4K (4096 2160 /) 900 Hz 50Hz,60Hz 240Hz
More informationMicrosoft Word - mitomi_v06.doc
MSS mitomi@edm.bosai.go.jp matsuoka@edm.bosai.go.jp yamazaki@edm.bosai.go.jp taniguchi@manage.nitech.ac.jp 1 MSS MSS 2 2 1 m MSS CCT CCT Fig.1 CCT b02-b0 b0-b0b-b b-b1 CCT Landsat/TM MSS S/N 21x21 21x21
More informationI, II 1, A = A 4 : 6 = max{ A, } A A 10 10%
1 2006.4.17. A 3-312 tel: 092-726-4774, e-mail: hara@math.kyushu-u.ac.jp, http://www.math.kyushu-u.ac.jp/ hara/lectures/lectures-j.html Office hours: B A I ɛ-δ ɛ-δ 1. 2. A 1. 1. 2. 3. 4. 5. 2. ɛ-δ 1. ɛ-n
More informationFlow Around a Circular Cylinder with Tangential Blowing near a Plane Boundary (2nd Report, A Study on Unsteady Characteristics) Shimpei OKAYASU, Kotar
Flow Around a Circular Cylinder with Tangential Blowing near a Plane Boundary (2nd Report, A Study on Unsteady Characteristics) Shimpei OKAYASU, Kotaro SATO*4, Toshihiko SHAKOUCHI and Okitsugu FURUYA Department
More informationN cos s s cos ψ e e e e 3 3 e e 3 e 3 e
3 3 5 5 5 3 3 7 5 33 5 33 9 5 8 > e > f U f U u u > u ue u e u ue u ue u e u e u u e u u e u N cos s s cos ψ e e e e 3 3 e e 3 e 3 e 3 > A A > A E A f A A f A [ ] f A A e > > A e[ ] > f A E A < < f ; >
More informationパナソニック技報
Liquid Crystal Display Technology for Realizing Contrast Ratio of 1 million to 1 Katsuhiro Kikuchi LCDLiquid Crystal Display IPSIn-Plane Switching-LCD 2100:1 IPS-LCDIPS-LCD50 20:1 Realization of Liquid
More informationOABC OA OC 4, OB, AOB BOC COA 60 OA a OB b OC c () AB AC () ABC D OD ABC OD OA + p AB + q AC p q () OABC 4 f(x) + x ( ), () y f(x) P l 4 () y f(x) l P
4 ( ) ( ) ( ) ( ) 4 5 5 II III A B (0 ) 4, 6, 7 II III A B (0 ) ( ),, 6, 8, 9 II III A B (0 ) ( [ ] ) 5, 0, II A B (90 ) log x x () (a) y x + x (b) y sin (x + ) () (a) (b) (c) (d) 0 e π 0 x x x + dx e
More information() x + y + y + x dy dx = 0 () dy + xy = x dx y + x y ( 5) ( s55906) 0.7. (). 5 (). ( 6) ( s6590) 0.8 m n. 0.9 n n A. ( 6) ( s6590) f A (λ) = det(a λi)
0. A A = 4 IC () det A () A () x + y + z = x y z X Y Z = A x y z ( 5) ( s5590) 0. a + b + c b c () a a + b + c c a b a + b + c 0 a b c () a 0 c b b c 0 a c b a 0 0. A A = 7 5 4 5 0 ( 5) ( s5590) () A ()
More informationEvaluation of Anisotropy and Preferred Orientation of Carbon and Graphite Materials Yoshihiro Hishiyama Fig.1 Diffraction condition in Fourier space.
Evaluation of Anisotropy and Preferred Orientation of Carbon and Graphite Materials Yoshihiro Hishiyama Fig.1 Diffraction condition in Fourier space. Corresponding Author, E-mail: yhishiya@eng.musashi-tech.ac.jp
More informationIPSJ SIG Technical Report Vol.2013-GN-87 No /3/ Research of a surround-sound field adjustmen system based on loudspeakers arrangement Ak
1 1 3 Research of a surround-sound field adjustmen system based on loudspeakers arrangement Akiyama Daichi 1 Kanai Hideaki 1 Abstract: In this paper, we propose a presentation method that does not depend
More information( ) e + e ( ) ( ) e + e () ( ) e e Τ ( ) e e ( ) ( ) () () ( ) ( ) ( ) ( )
n n (n) (n) (n) (n) n n ( n) n n n n n en1, en ( n) nen1 + nen nen1, nen ( ) e + e ( ) ( ) e + e () ( ) e e Τ ( ) e e ( ) ( ) () () ( ) ( ) ( ) ( ) ( n) Τ n n n ( n) n + n ( n) (n) n + n n n n n n n n
More information#A A A F, F d F P + F P = d P F, F y P F F x A.1 ( α, 0), (α, 0) α > 0) (x, y) (x + α) 2 + y 2, (x α) 2 + y 2 d (x + α)2 + y 2 + (x α) 2 + y 2 =
#A A A. F, F d F P + F P = d P F, F P F F A. α, 0, α, 0 α > 0, + α +, α + d + α + + α + = d d F, F 0 < α < d + α + = d α + + α + = d d α + + α + d α + = d 4 4d α + = d 4 8d + 6 http://mth.cs.kitmi-it.c.jp/
More informationSICE東北支部研究集会資料(2012年)
77 (..3) 77- A study on disturbance compensation control of a wheeled inverted pendulum robot during arm manipulation using Extended State Observer Luis Canete Takuma Sato, Kenta Nagano,Luis Canete,Takayuki
More informationさくらの個別指導 ( さくら教育研究所 ) A 2 2 Q ABC 2 1 BC AB, AC AB, BC AC 1 B BC AB = QR PQ = 1 2 AC AB = PR 3 PQ = 2 BC AC = QR PR = 1
... 0 60 Q,, = QR PQ = = PR PQ = = QR PR = P 0 0 R 5 6 θ r xy r y y r, x r, y x θ x θ θ (sine) (cosine) (tangent) sin θ, cos θ, tan θ. θ sin θ = = 5 cos θ = = 4 5 tan θ = = 4 θ 5 4 sin θ = y r cos θ =
More information1 23 1 2 2 3 3 2 26 1 3 3 2 3 4 55 50 1 1 2 3 2 108 5 297
2 860 8555 2 39 1 e-mail: keitaro@sci.kumamoto-u.ac.jp 1 3 2 1 * 1 * 1 296 2015 5 1 23 1 2 2 3 3 2 26 1 3 3 2 3 4 55 50 1 1 2 3 2 108 5 297 10 2 24 3 3 298 2015 5 50 7 A B C D A B C D A α cos s B α sin
More informationMarch 2011
Title 中 野 貞 一 郎 名 誉 教 授 に 聞 く : 大 阪 大 学 の 思 い 出 Author(s) 中 尾, 敏 充 ; 菅, 真 城 ; 阿 部, 武 司 Citation 大 阪 大 学 経 済 学. 60(4) P.111-P.127 Issue 2011-03 Date Text Version publisher URL http://hdl.handle.net/11094/51330
More informationAbstract 1 1 2 Abstract Fig. 1 Fig. 2 Fig. 3 Abstract 1 2 3 4 5 6 7 8 10 9 Abstract 1 1 2 3 4 5 6 7 8 9 Abstract 1 2 3 4 Abstract 1 1 2 2 3 4 5 6 3 7 8 9 4 Abstract 1 2 3 4 5 6 7 8 9 10
More informationIPSJ SIG Technical Report Vol.2016-CE-137 No /12/ e β /α α β β / α A judgment method of difficulty of task for a learner using simple
1 2 3 4 5 e β /α α β β / α A judgment method of difficulty of task for a learner using simple electroencephalograph Katsuyuki Umezawa 1 Takashi Ishida 2 Tomohiko Saito 3 Makoto Nakazawa 4 Shigeichi Hirasawa
More information1., 1 COOKPAD 2, Web.,,,,,,.,, [1]., 5.,, [2].,,.,.,, 5, [3].,,,.,, [4], 33,.,,.,,.. 2.,, 3.., 4., 5., ,. 1.,,., 2.,. 1,,
THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE.,, 464 8601 470 0393 101 464 8601 E-mail: matsunagah@murase.m.is.nagoya-u.ac.jp, {ide,murase,hirayama}@is.nagoya-u.ac.jp,
More information1W II K =25 A (1) office(a439) (2) A4 etc. 12:00-13:30 Cafe David 1 2 TA appointment Cafe D
1W II K200 : October 6, 2004 Version : 1.2, kawahira@math.nagoa-u.ac.jp, http://www.math.nagoa-u.ac.jp/~kawahira/courses.htm TA M1, m0418c@math.nagoa-u.ac.jp TA Talor Jacobian 4 45 25 30 20 K2-1W04-00
More informationTf dvi
/Opinion Kawaii as an Affective Value Michiko OHKURA Abstract In the 21 st century, the affective/kansei values of industrial products are considered very important. However, since not many studies have
More information神奈川県西部山北南高感度地震観測井の掘削および孔内検層,Borehole Drilling and Physical Properties of the Yamakita-minami Seismic Observatory in Western Ka
*1 *2 *3 *4 *5 *5 *6 *6 *2 *7 *5 *4 *5 *5 *6 *6 Borehole Drilling and Physical Properties of the Yamakita-minami Seismic Observatory in Western Kanagawa Prefecture, Central Honshu, Japan Hiroki HAYASHI
More information70 : 20 : A B (20 ) (30 ) 50 1
70 : 0 : A B (0 ) (30 ) 50 1 1 4 1.1................................................ 5 1. A............................................... 6 1.3 B............................................... 7 8.1 A...............................................
More informationIPSJ SIG Technical Report Vol.2013-CE-122 No.16 Vol.2013-CLE-11 No /12/14 Android 1,a) 1 1 GPS LAN 2 LAN Android,,, Android, HTML5 LAN 1. ICT(I
Android 1,a) 1 1 GPS LAN 2 LAN Android,,, Android, HTML5 LAN 1. ICT(Information and Communication Technology) (Google [2] [5] ) 2. Google 2.1 Google Google [2]( 1) Google Web, Google Web Google Chrome
More informationDuplicate Near Duplicate Intact Partial Copy Original Image Near Partial Copy Near Partial Copy with a background (a) (b) 2 1 [6] SIFT SIFT SIF
Partial Copy Detection of Line Drawings from a Large-Scale Database Weihan Sun, Koichi Kise Graduate School of Engineering, Osaka Prefecture University E-mail: sunweihan@m.cs.osakafu-u.ac.jp, kise@cs.osakafu-u.ac.jp
More information