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Volumn 1, Issue , 2012, Pages 221-226

COMBINING LOCAL FEATURES and PROGRESSIVE SUPPORT VECTOR MACHINE for URBAN CHANGE DETECTION of VHR IMAGES

Author keywords

change blindness; change detection; cognitive mechanisms; local features; progressive transductive SVM

Indexed keywords


EID: 84890476780     PISSN: 21949042     EISSN: 21949050     Source Type: Conference Proceeding    
DOI: 10.5194/isprsannals-I-7-221-2012     Document Type: Conference Paper
Times cited : (3)

References (12)
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    • Coppin, P.1    Lambin, E.2    Jonckheere, I.3
  • 5
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    • Lowe, D. G., 2004. Distinctive image features from scale invariant keypoints. Int. J. Computer Vision 60(2), pp. 91-110.
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    • Lowe, D.G.1
  • 8
    • 14844339425 scopus 로고    scopus 로고
    • Image change detection algorithms: A systematic survey
    • Radke, R. J., Andra, S. and Al-Kofahi, O., 2005. Image change detection algorithms: a systematic survey. IEEE Trans. Image Processing 14(3), pp. 294-307.
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    • Radke, R.J.1    Andra, S.2    Al-Kofahi, O.3
  • 11
    • 0024855524 scopus 로고
    • Digital change detection techniques using remotely-sensed data
    • Singh, A., 1989. Digital change detection techniques using remotely-sensed data. Int. J. Remote Sensing 10(8), pp. 989-1003.
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    • Singh, A.1
  • 12
    • 43249091850 scopus 로고    scopus 로고
    • A comparative study of energy minimization methods for markov random fields with smoothness-based priors
    • Szeliski, R., Zabih, R. and Scharstein, D., 2008. A comparative study of energy minimization methods for markov random fields with smoothness-based priors. IEEE Transactions on Pattern Analysis and Machine Intelligence 30(6), pp. 1068-1080.
    • (2008) IEEE Transactions On Pattern Analysis and Machine Intelligence , vol.30 , Issue.6 , pp. 1068-1080
    • Szeliski, R.1    Zabih, R.2    Scharstein, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.