Land-use classification of multispectral aerial images using artificial neural networks

International Journal of Remote Sensing

Volumn 30, Issue 8, 2009, Pages 1989-2004

  Ashish, D ^a   McClendon, R W ^a,b   Hoogenboom, G ^b  

^a UNIVERSITY OF GEORGIA   (United States)

^b University of Georgia   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTENNAS; EDGE DETECTION; FORESTRY; GRAPHIC METHODS; LAND USE; NEURAL NETWORKS; PIXELS; REMOTE SENSING;

COLOUR INFORMATIONS; ENVIRONMENTAL APPLICATIONS; HIGH RESOLUTION DATA; LANDUSE CLASSIFICATIONS; MULTISPECTRAL IMAGES; PROBABILISTIC NEURAL NETWORKS; REMOTE SENSING TECHNOLOGY; SPATIAL INFORMATIONS;

IMAGE CLASSIFICATION;

ARTIFICIAL NEURAL NETWORK; DETECTION METHOD; GIS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LAND USE; MULTISPECTRAL IMAGE; PROBABILITY; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; SPECTRAL RESOLUTION;

GEORGIA; NORTH AMERICA; UNITED STATES;

EID: 67650260805     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160802549187     Document Type: Article

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