Case study on the extraction of land cover information from the SAR image of a coal mining area

Mining Science and Technology

Volumn 19, Issue 6, 2009, Pages 829-834

  HU, Zhao ling ^a   LI, Hai quan ^a   DU, Pei jun ^b  

^a JIANGSU NORMAL UNIVERSITY   (China)

^b CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

Author keywords

coal mining area; gray level co occurrence matrix; neural network classification; SAR image; texture feature

Indexed keywords

BP NEURAL NETWORKS; COAL MINING AREA; CONSTRUCTION SITES; GRAY LEVEL CO-OCCURRENCE MATRIX; INFORMATION FEATURE; LAND COVER; MULTI-BAND IMAGES; NEURAL NETWORK CLASSIFICATION; PRINCIPAL COMPONENTS; SAR IMAGES; SELECTION METHODS; SYNTHETIC APERTURE RADAR IMAGES; TEXT FEATURE; TEXTURE FEATURE EXTRACTION; TEXTURE INFORMATION; WINDOW SIZE;

COAL; COAL INDUSTRY; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE REGISTRATION; IMAGING SYSTEMS; LANDFORMS; MAXIMUM LIKELIHOOD ESTIMATION; METAL RECOVERY; MINING; PRINCIPAL COMPONENT ANALYSIS; SECURITY OF DATA; SYNTHETIC APERTURE RADAR; SYNTHETIC APERTURES; TEXTURES; WINDOWS;

NEURAL NETWORKS;

EID: 70449698279     PISSN: 16745264     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1674-5264(09)60151-4     Document Type: Article

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