Combining the matter element model with the associated function of probability transformation for multi-source remote sensing data classification in mountainous regions

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 67, Issue 1, 2012, Pages 80-92

  Li, Ainong ^a,c   Jiang, Jingang ^b   Bian, Jinhu ^a   Deng, Wei ^a  

^a INSTITUTE OF MOUNTAIN HAZARDS AND ENVIRONMENT   (China)

^b HANGZHOU NORMAL UNIVERSITY   (China)

^c UNIVERSITY OF MARYLAND   (United States)

Author keywords

Associated function; Classification; Matter element model; Mountainous region; Remote sensing

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; CONSTRAINED CONDITIONS; DATA SOURCE; FIELD INVESTIGATION; GEO-SPATIAL; GROUND OBJECTS; INTEGRATED CLASSIFICATION; KAPPA COEFFICIENT; LAND COVER; LAND COVER CLASSIFICATION; LANDSAT TM; MATTER-ELEMENT; MATTER-ELEMENT MODEL; MAXIMUM LIKELIHOOD METHODS; MOUNTAINOUS REGIONS; MULTISOURCE DATA; MULTISOURCES; PRIOR KNOWLEDGE; REMOTE SENSING CLASSIFICATION; REMOTE SENSING DATA; REMOTE SENSING INFORMATION; REMOTE-SENSING DATA CLASSIFICATION; SPECTRA DISTRIBUTIONS; VEGETATION GROWTH;

KNOWLEDGE BASED SYSTEMS; LANDFORMS; MAXIMUM LIKELIHOOD; METADATA; PROBABILITY; REMOTE SENSING;

CLASSIFICATION (OF INFORMATION);

ACCURACY ASSESSMENT; ALGORITHM; CLASSIFICATION; DATA SET; GRASSLAND; KNOWLEDGE BASED SYSTEM; LAND COVER; MAXIMUM LIKELIHOOD ANALYSIS; MOUNTAIN REGION; NUMERICAL MODEL; REMOTE SENSING; SATELLITE DATA; WETLAND;

CHINA; RUOERGAI PLATEAU;

EID: 82155168598     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2011.10.008     Document Type: Article

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