Pixel-based land cover classification by fusing hyperspectral and LiDAR data

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 42, Issue 2W7, 2017, Pages 711-718

  Jahan, Farah ^a   Awrangjeb, Mohammad ^a  

^a GRIFFITH UNIVERSITY   (Australia)

Author keywords

Dimensionality reduction; Feature combination; Hyperspectral; Land cover classification; LiDAR

Indexed keywords

DECISION TREES; FORESTRY; IMAGE RETRIEVAL; LAND USE; OPTICAL RADAR; PIXELS; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES;

DIMENSIONALITY REDUCTION; FEATURE COMBINATION; HIGH DIMENSIONAL FEATURE; HYPERSPECTRAL; LAND COVER CLASSIFICATION; LIDAR (LIGHT DETECTION AND RANGING); NUMBER OF PRINCIPAL COMPONENTS; TOPOGRAPHICAL INFORMATION;

CLASSIFICATION (OF INFORMATION);

EID: 85031043691     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5194/isprs-archives-XLII-2-W7-711-2017     Document Type: Conference Paper

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