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Volumn 1, Issue , 2011, Pages 186-189
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Forest fire smog feature extraction based on Pulse-Coupled neural network
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Author keywords
Feature extraction; Forest fire smog recognition; Pattern recognition; Pulse Coupled neural network (PCNN); Support vector machine (SVM)
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Indexed keywords
CO-OCCURRENCE-MATRIX;
EUCLIDEAN DISTANCE ALGORITHM;
FOREST FIRES;
GREY LEVELS;
IMAGE DATABASE;
IMAGE-BASED;
NOVEL ALGORITHM;
ONE-CLASS SUPPORT VECTOR MACHINE;
PULSE COUPLED NEURAL NETWORK;
RECOGNITION ACCURACY;
RGB COLOR SPACE;
SUPPORT VECTOR;
TEXTURE FEATURES;
THREE DIMENSIONS;
UNIQUE FEATURES;
VIDEO SURVEILLANCE;
VISUAL CORTEXES;
AIR POLLUTION;
ALGORITHMS;
DEFORESTATION;
FACE RECOGNITION;
FEATURE EXTRACTION;
FIRES;
IMAGE RETRIEVAL;
INFORMATION TECHNOLOGY;
MAMMALS;
SECURITY SYSTEMS;
SMOKE;
SUPPORT VECTOR MACHINES;
VECTOR SPACES;
NEURAL NETWORKS;
AIR POLLUTION;
ALGORITHMS;
DEFORESTATION;
FOREST FIRES;
IMAGE ANALYSIS;
INFORMATION RETRIEVAL;
MAMMALS;
NEURAL NETWORKS;
PATTERN RECOGNITION;
SMOKE;
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EID: 80054738656
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/ITAIC.2011.6030182 Document Type: Conference Paper |
Times cited : (7)
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References (12)
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