An artificial immune network approach to multi-sensor land use/land cover classification

Remote Sensing of Environment

Volumn 115, Issue 2, 2011, Pages 600-614

  Gong, Binglei ^a   Im, Jungho ^a   Mountrakis, Giorgos ^a  

^a 402 Baker Laboratory   (United States)

Author keywords

Artificial immune networks; Artificial neural networks; Decision trees; Land use land cover classification

Indexed keywords

ARTIFICIAL IMMUNE NETWORKS; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION ACCURACY; CLASSIFICATION MODELS; EUCLIDEAN DISTANCE; FEATURE VECTORS; FEEDFORWARD BACKPROPAGATION; HIGH SPATIAL RESOLUTION; HYPERSPECTRAL IMAGERY; IMMUNE NETWORK; LAND COVER; LAND USE/LAND COVER; LIDAR DATA; MODEL CONVERGENCE; MODEL PERFORMANCE; MODEL SENSITIVITY; MULTI SENSOR; MUTATION RATES; QUICKBIRD IMAGES; REMOTE SENSING DATA; RESIDENTIAL AREAS; SALT-AND-PEPPER NOISE; SELF-ADAPTIVE; SPECTRAL ANGLE MAPPING; SUBURBAN AREAS; TRAINING SAMPLE;

AERIAL PHOTOGRAPHY; ANTIBODIES; CONVERGENCE OF NUMERICAL METHODS; DECISION TREES; LANDFORMS; OPTICAL RADAR; OPTIMIZATION; PHOTOMAPPING; REMOTE SENSING; SAMPLING;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; GENETIC ALGORITHM; IMAGE ANALYSIS; LAND CLASSIFICATION; LAND COVER; LAND USE; LIDAR; OPTIMIZATION; QUICKBIRD; REMOTE SENSING; RESIDENTIAL LOCATION; SATELLITE IMAGERY; SPATIAL RESOLUTION; SUBURBAN AREA;

COLORADO; DENVER; MONTICELLO [UTAH]; UNITED STATES; UTAH;

EID: 78650903054     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2010.10.005     Document Type: Article

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