Applying image transformation and classification techniques to airborne hyperspectral imagery for mapping Ashe juniper infestations

International Journal of Remote Sensing

Volumn 30, Issue 11, 2009, Pages 2741-2758

  Yang, Chenghai ^a   Everitt, J H ^a   Johnson, H B ^b  

^a KIKA DE LA GARZA SUBTROPICAL AGRICULTURAL RESEARCH CENTER   (United States)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURE; DIGITAL STORAGE; MAPPING; MAXIMUM LIKELIHOOD; PLANTS (BOTANY); REMOTE SENSING; SPECTROSCOPY;

ACCURACY ASSESSMENT; CLASSIFICATION RESULTS; CLASSIFICATION TECHNIQUE; HYPER-SPECTRAL IMAGERIES; IMAGE TRANSFORMATIONS; MAHALANOBIS DISTANCES; MINIMUM NOISE FRACTION; SPECTRAL ANGLE MAPPERS;

IMAGE CLASSIFICATION;

AIRBORNE SENSING; IMAGE ANALYSIS; IMAGE CLASSIFICATION; MAPPING; PARASITE INFESTATION; SPECTRAL ANALYSIS; TREE;

NORTH AMERICA; TEXAS; UNITED STATES;

JUNIPERUS ASHEI;

EID: 70449447678     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160802555812     Document Type: Article

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