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Volumn 37, Issue , 2008, Pages 1549-1553

Urban land-cover mapping and change detection with radarsat sar data using neural network and rule-based classifiers

Author keywords

Change detection; Classification; High resolution; Land use Land cover; Mapping; SAR; Urban

Indexed keywords

AGRICULTURE; CLASSIFICATION (OF INFORMATION); CROPS; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; LAND USE; MAPPING; NEURAL NETWORKS; RADAR IMAGING; REMOTE SENSING; SPACE-BASED RADAR; SYNTHETIC APERTURE RADAR;

EID: 84996208253     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (20)

References (9)
  • 1
    • 0001812168 scopus 로고    scopus 로고
    • Multiresolution segmentation - An optimization approach for high quality multi-scale image segmentation
    • Wichmann-Verlag, Heidelberg
    • Baatz, M. and Schäpe, A., 2000. Multiresolution segmentation - an optimization approach for high quality multi-scale image segmentation. In: Angewandte Geographische Informationsverarbeitung, Wichmann-Verlag, Heidelberg, pp. 12-23.
    • (2000) Angewandte Geographische Informationsverarbeitung , pp. 12-23
    • Baatz, M.1    Schäpe, A.2
  • 2
    • 34648816534 scopus 로고    scopus 로고
    • RADARSAT fine-beam data for land-cover mapping and change detection in the rural-urban fringe of the greater toronto area
    • 2007
    • Ban, Y. and Hu, H., 2007. RADARSAT Fine-Beam Data for Land-Cover Mapping and Change Detection in the Rural-Urban Fringe of the Greater Toronto Area. In: Urban Remote Sensing Joint Event, 2007.
    • (2007) Urban Remote Sensing Joint Event
    • Ban, Y.1    Hu, H.2
  • 3
    • 84874234075 scopus 로고    scopus 로고
    • RADERSAT SAR data for landuse/land-cover classification in the rural-urban fringe of the greater toronto area
    • Ban, Y. and Wu, Q., 2005. RADERSAT SAR data for landuse/land-cover classification in the rural-urban fringe of the greater Toronto area. In: Proceedings of 8th AGILE Conference on Geographic Information Science.
    • (2005) Proceedings of 8th AGILE Conference on Geographic Information Science
    • Ban, Y.1    Wu, Q.2
  • 6
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
    • Peng, H, Long, F. and Ding, C, 2005. Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(8), pp. 1226-1238.
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , Issue.8 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 7
    • 30344457845 scopus 로고    scopus 로고
    • Mnimum redundancy maximum relevance feature selection
    • Peng, H, Ding, C. and Long, F., 2005. Mnimum redundancy maximum relevance feature selection. IEEE Intelligent Systems, 20(6), pp. 70-71.
    • (2005) IEEE Intelligent Systems , vol.20 , Issue.6 , pp. 70-71
    • Peng, H.1    Ding, C.2    Long, F.3
  • 9
    • 0027148219 scopus 로고
    • A knowledge-based vision system for detecting land changes at urban fringes
    • Wang, F., 1993. A knowledge-based vision system for detecting land changes at urban fringes. IEEE Transactions on Geoscience and Remote Sensing, 31(1), pp. 136-145.
    • (1993) IEEE Transactions on Geoscience and Remote Sensing , vol.31 , Issue.1 , pp. 136-145
    • Wang, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.