메뉴 건너뛰기




Volumn 2, Issue , 2004, Pages 956-959

Design of spectral channels for hyperspectral image classification

Author keywords

Feature transformation; Hyperspectral images; Image classification; Remote sensing; Spectral channel design

Indexed keywords

FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE QUALITY; IMAGE SENSORS; IMAGING SYSTEMS; PROBLEM SOLVING;

EID: 15944368976     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (10)
  • 2
    • 0035391615 scopus 로고    scopus 로고
    • A new search algorithm for feature selection in hyperspectral remote sensing images
    • S. B. Serpico, L. Bruzzone, "A new search algorithm for feature selection in hyperspectral remote sensing images", IEEE Transactions on Geoscience and Remote Sensing, Vol. 39, No. 7, 2001. pp 1360-1367.
    • (2001) IEEE Transactions on Geoscience and Remote Sensing , vol.39 , Issue.7 , pp. 1360-1367
    • Serpico, S.B.1    Bruzzone, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.