Object detection from HS/MS and multi-platform remote-sensing imagery by the integration of biologically and geometrically inspired approaches

American Society for Photogrammetry and Remote Sensing Annual Conference 2009, ASPRS 2009

Volumn 2, Issue , 2009, Pages 894-900

  Wu, Bo ^a   Zhou, Yuan ^a   Yan, Lin ^a   Yuan, Jiangye ^a   Li, Ron ^a   Wang, DeLiang ^a  

^a Ohio State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICALLY INSPIRED METHODS; CALIFORNIA; DESCENT IMAGES; DETECTING OBJECTS; DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION METHOD; EXPERIMENTAL ANALYSIS; FIRST YEAR; GEO-SPATIAL DATABASE; GEOMETRIC ACTIVE CONTOURS; HIGH RESOLUTION IMAGERY; HIGH RESOLUTION SATELLITE IMAGERY; HYPERSPECTRAL; HYPERSPECTRAL DATA; INHIBITORY OSCILLATOR NETWORKS; LANDSAT TM; MOJAVE DESERT; MULTI-PLATFORM; MULTI-SPECTRAL; MULTISCALES; OBJECT BOUNDARIES; OBJECT DETECTION; OBJECT SHAPE; ROUGH OBJECTS; STEREO-IMAGE; TEST SITE;

OBJECT RECOGNITION; PHOTOGRAMMETRY; SATELLITE IMAGERY;

REMOTE SENSING;

EID: 84868534526     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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