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Per-point and per-field contextual classification of multipolarization and multiple incidence angle aircraft L-band radar dataMultipolarized aircraft L-band radar data are classified using two different image classification algorithms: (1) a per-point classifier, and (2) a contextual, or per-field, classifier. Due to the distinct variations in radar backscatter as a function of incidence angle, the data are stratified into three incidence-angle groupings, and training and test data are defined for each stratum. A low-pass digital mean filter with varied window size (i.e., 3x3, 5x5, and 7x7 pixels) is applied to the data prior to the classification. A predominately forested area in northern Florida was the study site. The results obtained by using these image classifiers are then presented and discussed.
Document ID
19910040010
Document Type
Conference Paper
Authors
Hoffer, Roger M. (Colorado State Univ. Fort Collins, CO, United States)
Hussin, Yousif Ali (Colorado State University Fort Collins, United States)
Date Acquired
August 14, 2013
Publication Date
January 1, 1989
Subject Category
EARTH RESOURCES AND REMOTE SENSING
Funding Number(s)
CONTRACT_GRANT: NAS7-918
CONTRACT_GRANT: JPL-9569552
Distribution Limits
Public
Copyright
Other