Accurate crop classification using hierarchical genetic fuzzy rule-based systems

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 9239, Issue , 2014, Pages

  Topaloglou, Charalampos A ^a   Mylonas, Stelios K ^a   Stavrakoudis, Dimitris G ^a   Mastorocostas, Paris A ^b   Theocharis, John B ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^b TECHNOLOGICAL EDUCATIONAL INSTITUTE OF SERRES   (Greece)

Author keywords

crop classification; embedded feature selection; Genetic fuzzy rule based classification systems (GFRBCS); hierarchical classifier; higher order spectral and textural features; per class feature selection

Indexed keywords

AGRICULTURE; CROPS; DECISION TREES; ECOLOGY; ECOSYSTEMS; EMBEDDED SYSTEMS; FUZZY INFERENCE; FUZZY RULES; HIERARCHICAL SYSTEMS; HYDROLOGY; LEARNING ALGORITHMS; MAPS; REMOTE SENSING; SATELLITE IMAGERY; SPACE OPTICS; SUPPORT VECTOR MACHINES;

CROP CLASSIFICATION; EMBEDDED FEATURE SELECTIONS; GENETIC FUZZY RULE-BASED CLASSIFICATION SYSTEMS (GFRBCS); HIERARCHICAL CLASSIFIERS; TEXTURAL FEATURE;

CLASSIFICATION (OF INFORMATION);

EID: 84937204826     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.2067410     Document Type: Conference Paper

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