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Volumn , Issue , 2014, Pages 366-369

Analysis of RapidEye imagery for agricultural land cover and land use mapping

Author keywords

decision tree; NDVI; NDVI RE; object oriented classification; RapidEye; red edge band

Indexed keywords

AGRICULTURAL ROBOTS; AGRICULTURE; DECISION TREES; IMAGE ANALYSIS; MAPPING; REMOTE SENSING;

EID: 84912119365     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EORSA.2014.6927914     Document Type: Conference Paper
Times cited : (8)

References (15)
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    • Li, F.1
  • 9
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    • Testing the red edge channel for improving land-use classifications based on high-resolution multi-spectral satellite data
    • Schuster, c., M. Forester, and B. Kleinschmit, Testing the red edge channel for improving land-use classifications based on high-resolution multi-spectral satellite data. intelllational Joulllal of Remote Sensing, 2012. 33(17): p. 5583-5599.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.