An object-based two-stage method for a detailed classification of urban landscape components by integrating airborne LiDAR and color infrared image data: A case study of downtown Houston

2009 Joint Urban Remote Sensing Event

Volumn , Issue , 2009, Pages

  Yu, Bailang ^a   Liu, Hongxing ^b   Zhang, Li ^a   Wu, Jianping ^a  

^a East China Normal University   (China)

^b TEXAS A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AERIAL PHOTOGRAPHS; AIRBORNE LIDAR; AIRBORNE LIDAR DATA; CLASSIFICATION ACCURACY; DETAILED CLASSIFICATION; DIGITAL SURFACE MODELS; GEOMETRIC INFORMATION; HIGH RESOLUTION; HIGH RISE BUILDING; HOUSTON; HOUSTON , TEXAS; IMAGE DATA; IMAGE OBJECTS; IMPERVIOUS SURFACE; INFRARED IMAGES; KAPPA COEFFICIENT; LIDAR DATA; MORPHOLOGICAL INFORMATION; NEAR INFRARED; OBJECT BASED; OPEN SPACE; RELATIVE HEIGHTS; SPATIAL ATTRIBUTE; SPECTRAL INFORMATION; TWO-STAGE METHODS; URBAN LANDSCAPE; WATER SURFACE;

COLOR; IMAGE PROCESSING; IMAGING SYSTEMS; INFRARED IMAGING; OFFICE BUILDINGS; OPTICAL RADAR; PHOTOGRAPHIC EQUIPMENT; PHOTOGRAPHY; REMOTE SENSING; RESEARCH; TALL BUILDINGS; TWO DIMENSIONAL; VEGETATION;

OBJECT RECOGNITION;

EID: 73349127794     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/URS.2009.5137543     Document Type: Conference Paper

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