Texture extraction for object-oriented classification of high spatial resolution remotely sensed images using a semivariogram

International Journal of Remote Sensing

Volumn 34, Issue 11, 2013, Pages 3736-3759

  Yue, Anzhi ^a,b   Zhang, Chao ^a   Yang, Jianyu ^a   Su, Wei ^a   Yun, Wenju ^c   Zhu, Dehai ^a  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

^b INSTITUTE OF REMOTE SENSING APPLICATIONS   (China)

^c Chongqing Institute of Geology and Mineral Resources   (China)

Author keywords

[No Author keywords available]

Indexed keywords

EXTRACTION; REMOTE SENSING; TEXTURES;

ADAPTIVE PARAMETERS; ANGULAR SECOND MOMENT; CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; CLASSIFICATION RESULTS; COMPUTATION MODE; FEATURE OPTIMIZATIONS; GEO-STATISTICS; GLCM FEATURE; GREY-LEVEL CO-OCCURRENCE MATRIXES; HIGH SPATIAL RESOLUTION; MEAN SQUARE; MOVING WINDOW; OBJECT ORIENTED CLASSIFICATION; PANCHROMATIC BANDS; QUICKBIRD IMAGES; REMOTELY SENSED IMAGES; SEGMENTED IMAGES; SEMIVARIANCE ANALYSIS; SEMIVARIANCES; SEMIVARIOGRAMS; TEXTURE EXTRACTION; TEXTURE FEATURES;

IMAGE TEXTURE;

IMAGE CLASSIFICATION; PATTERN RECOGNITION; PIXEL; QUICKBIRD; REMOTE SENSING; SATELLITE IMAGERY; VARIOGRAM;

EID: 84874624067     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2012.759298     Document Type: Article

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