Multi-source remotely sensed data fusion for improving land cover classification

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 124, Issue , 2017, Pages 27-39

  Chen, Bin ^a,b   Huang, Bo ^b   Xu, Bing ^a,c,d  

^a BEIJING NORMAL UNIVERSITY   (China)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^c TSINGHUA UNIVERSITY   (China)

^d UNIVERSITY OF UTAH   (United States)

Author keywords

Data fusion; Land cover classification; Remote sensing; Temporal and angular features

Indexed keywords

DATA FUSION; DATA INTEGRATION; FORESTRY; IMAGE RECONSTRUCTION; RADIOMETERS; REMOTE SENSING; SATELLITE IMAGERY; SURVEYING;

CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; DIGITAL ELEVATION MODEL; LAND COVER CLASSIFICATION; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; OPERATIONAL LAND IMAGER; STRAIGHTFORWARD STRATEGY; TEMPORAL AND ANGULAR FEATURES;

CLASSIFICATION (OF INFORMATION);

ACCURACY ASSESSMENT; ASTER; DATA MINING; DIGITAL ELEVATION MODEL; HIERARCHICAL SYSTEM; IMAGE CLASSIFICATION; LAND COVER; LANDSAT; MODIS; PERFORMANCE ASSESSMENT; REMOTE SENSING; SATELLITE DATA; SPECTRAL ANALYSIS; TEMPORAL ANALYSIS;

CHINA;

EID: 85007341583     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2016.12.008     Document Type: Article

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