A hybrid method combining SOM-based clustering and object-based analysis for identifying land in good agricultural condition

Computers and Electronics in Agriculture

Volumn 83, Issue , 2012, Pages 92-101

  Taşdemir, Kadim ^a   Milenov, Pavel ^a   Tapsall, Brooke ^a  

^a JOINT RESEARCH CENTRE   (Italy)

Author keywords

CONN linkage; Good agricultural condition; Land cover identification; Object based image analysis; Self organizing maps; Unsupervised clustering

Indexed keywords

AGRICULTURAL CONDITIONS; CONN LINKAGE; LAND COVER; OBJECT BASED IMAGE ANALYSIS; UNSUPERVISED CLUSTERING;

CONFORMAL MAPPING; IMAGE ANALYSIS; LANDFORMS;

AGRICULTURE;

ACCURACY ASSESSMENT; AGRICULTURAL LAND; AGRICULTURAL MANAGEMENT; ARTIFICIAL NEURAL NETWORK; COMMON AGRICULTURAL POLICY; IMAGE ANALYSIS; LAND COVER; PERFORMANCE ASSESSMENT; REMOTE SENSING; SUBSIDY SYSTEM; UNSUPERVISED CLASSIFICATION;

EUROPE;

EID: 84857679726     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2012.01.017     Document Type: Article

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