Implementation and comparative analysis of rough set, artificial neural network (ANN) and fuzzy-rough classifiers for satellite image classification

2009 International Conference on Intelligent Agent and Multi-Agent Systems, IAMA 2009

Volumn , Issue , 2009, Pages

  Juneja, Mamta ^a   Walia, Ekta ^b   Sandhu, Parvinder Singh ^a   Mohana, Rajni ^a  

^a I K GUJRAL PUNJAB TECHNICAL UNIVERSITY   (India)

^b MAHARISHI MARKANDESHWAR DEEMED TO BE UNIVERSITY   (India)

Author keywords

Artificial neural network (ANN) and fuzzy rough classifiers; Image classification; Roughset theory

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK (ANN) AND FUZZY-ROUGH CLASSIFIERS; CLASSIFICATION AND INTERPRETATION; COMPARATIVE ANALYSIS; CRITICAL APPLICATIONS; DATA DEPENDENCIES; DATA SETS; DECISION SYSTEMS; EFFECTIVE MEASURES; ERROR ACCUMULATION; FAST MECHANISMS; FUZZY THEORY; GEOGRAPHIC OBJECTS; GEOPROCESSING; GEOSPATIAL INFORMATION; GRANULAR STRUCTURESS; GROUND TRUTH DATA; IMPRECISE KNOWLEDGE; INFORMATION CONTENTS; INTERNET GIS; LAND COVER CLASSIFICATION; MULTI-SENSOR SATELLITE IMAGES; RAJASTHAN; ROUGH SET; SATELLITE IMAGE CLASSIFICATION; SATELLITE IMAGES; SUPERVISED CLASSIFICATION;

BACKPROPAGATION; CLASSIFIERS; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SETS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LEARNING SYSTEMS; MULTI AGENT SYSTEMS; SATELLITE IMAGERY;

ROUGH SET THEORY;

EID: 70350448648     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IAMA.2009.5228037     Document Type: Conference Paper

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