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Volumn , Issue , 2006, Pages 2506-2509

Fusion of morphological and spectral information for classification of hyperspectal urban remote sensing data

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING;

EID: 34948871925     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2006.648     Document Type: Conference Paper
Times cited : (15)

References (5)
  • 1
    • 0035248508 scopus 로고    scopus 로고
    • A New Approach for the Morphological Segmentation of High-resolution Satellite Imagery
    • M. Pesaresi and J.A. Benediktsson, "A New Approach for the Morphological Segmentation of High-resolution Satellite Imagery," IEEE Transactions on Geosciene and Remote Sensing, vol. 39, no. 2, pp. 309-320, 2001.
    • (2001) IEEE Transactions on Geosciene and Remote Sensing , vol.39 , Issue.2 , pp. 309-320
    • Pesaresi, M.1    Benediktsson, J.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.