Accuracy assessment measures for object-based image segmentation goodness

Photogrammetric Engineering and Remote Sensing

Volumn 76, Issue 3, 2010, Pages 289-299

  Clinton, Nicholas ^a,b,c   Holt, Ashley ^a   Scarborough, James ^c   Yan, L I ^d   Gong, Peng ^a,b,c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b BEIJING NORMAL UNIVERSITY   (China)

^c Berkeley Environmental Technology International LLC   (United States)

^d NANJING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING;

ACCURACY ASSESSMENT; IMAGE-PROCESSING SOFTWARE; LOCATION BASED; PARAMETER COMBINATION; REFERENCE OBJECTS; SEGMENTATION RESULTS; SHAPE SIMILARITY; TRAINING OBJECTS;

IMAGE SEGMENTATION;

ACCURACY ASSESSMENT; CLUSTER ANALYSIS; DATA SET; IDENTIFICATION METHOD; IMAGE CLASSIFICATION; IMAGE RESOLUTION; PARAMETERIZATION; PARSIMONY ANALYSIS; SOFTWARE;

EID: 77949838817     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.76.3.289     Document Type: Article

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