A novel unsupervised segmentation quality evaluation method for remote sensing images

Sensors (Switzerland)

Volumn 17, Issue 10, 2017, Pages

  Gao, Han ^a,b   Tang, Yunwei ^a   Jing, Linhai ^a   Li, Hui ^a   Ding, Haifeng ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

High spatial resolution remote sensing; Image segmentation; Spatial stratified heterogeneity; Statistical features; Unsupervised segmentation evaluation

Indexed keywords

ECONOMIC AND SOCIAL EFFECTS; IMAGE ENHANCEMENT; IMAGE RESOLUTION; QUALITY CONTROL; RELIABILITY ANALYSIS; REMOTE SENSING;

FEATURE REPRESENTATION; GEOGRAPHIC OBJECT-BASED IMAGE ANALYSIS; HIGH SPATIAL RESOLUTION; SEGMENTATION ALGORITHMS; SPATIAL AUTOCORRELATIONS; SPATIAL STRATIFIED HETEROGENEITY; STATISTICAL FEATURES; UNSUPERVISED SEGMENTATION;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOCORRELATION; QUANTITATIVE ANALYSIS; RELIABILITY; REMOTE SENSING; SEGMENTATION ALGORITHM;

EID: 85032582196     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s17102427     Document Type: Article

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