Mapping vegetation and land cover in a large urban area using a multiple classifier system

International Journal of Remote Sensing

Volumn 38, Issue 16, 2017, Pages 4700-4721

  Shi, Di ^a   Yang, Xiaojun ^b,c  

^a UNIVERSITY OF KANSAS   (United States)

^b JINAN UNIVERSITY   (China)

^c FLORIDA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ENVIRONMENTAL MANAGEMENT; IMAGE CLASSIFICATION; IMAGE ENHANCEMENT; MAPPING; REMOTE SENSING; SUSTAINABLE DEVELOPMENT; VEGETATION;

CLASSIFICATION ACCURACY; CLASSIFICATION ERRORS; COMPARATIVE ADVANTAGE; LAND COVER INFORMATIONS; MULTIPLE CLASSIFIER SYSTEMS; STATISTICAL LEARNING; STATISTICALLY SIGNIFICANT DIFFERENCE; SUSTAINABLE ENVIRONMENTAL MANAGEMENT;

CLASSIFICATION (OF INFORMATION);

IMAGE CLASSIFICATION; LAND COVER; MAPPING; METROPOLITAN AREA; REMOTE SENSING; URBAN AREA; VEGETATION DYNAMICS;

EID: 85040933130     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2017.1331059     Document Type: Article

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