Subpixel urban land cover estimation: Comparing cubist, random forests, and support vector regression

Photogrammetric Engineering and Remote Sensing

Volumn 74, Issue 10, 2008, Pages 1213-1222

  Walton, Jeffrey T ^a  

^a PAUL SMITH S COLLEGE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; ESTIMATION; LEARNING SYSTEMS; PIXELS; REFLECTION; REGRESSION ANALYSIS;

BAND COMBINATIONS; ESTIMATION RESULTS; HIGHER RESOLUTION; IMPERVIOUS SURFACE; NUMBER AND SIZE; SUBPIXEL ESTIMATION; SUPPORT VECTOR REGRESSION (SVR); URBAN LAND COVER;

FORESTRY;

COMPARATIVE STUDY; ESTIMATION METHOD; FOREST CANOPY; FOREST COVER; LANDSAT; PIXEL; REGRESSION ANALYSIS; SATELLITE IMAGERY; URBAN AREA; VECTOR;

EID: 55349114714     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.74.10.1213     Document Type: Article

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