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Volumn 1, Issue , 2011, Pages 732-735

A one-class-extraction framework for high resolution SAR image classification

Author keywords

High resolution; Image classification; One class extraction framework; Synthetic aperture radar images

Indexed keywords

HIGH RESOLUTION; HIGH RESOLUTION SYNTHETIC APERTURE RADAR IMAGES; HIGH-RESOLUTION SAR; ONE-CLASS-EXTRACTION FRAMEWORK; SAR IMAGE CLASSIFICATIONS; SAR IMAGES; SYNTHETIC APERTURE RADAR IMAGES; TERRASAR-X;

EID: 84858951556     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIE-Radar.2011.6159645     Document Type: Conference Paper
Times cited : (3)

References (8)
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  • 4
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    • Detection and classification of urban structures based on high-resolution SAR imagery
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    • A. Reigber, M. Jäger, W. He, L. Ferro-Famil, and O. Hellwich, "Detection and classification of urban structures based on high-resolution SAR imagery," in Proc. Urban Remote Sens. Joint Event, Paris, France, 2007, pp. 1-6.
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    • Reigber, A.1    Jäger, M.2    He, W.3    Ferro-Famil, L.4    Hellwich, O.5
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    • M. Liénou, H. Maître, and M. Datcu, "Semantic annotation of satellite images using latent Dirichlet allocation," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 1, pp. 78-82, Jan. 2010.
    • (2010) IEEE Geosci. Remote Sens. Lett. , vol.7 , Issue.1 , pp. 78-82
    • Liénou, M.1    Maître, H.2    Datcu, M.3
  • 8
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    • Free TerraSAR-X Data Samples. [Online] . Available: http://www.infoterra. de/free-sample-data


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.