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use of multi-frequency, multi-polarization, multi-angle airborne radars for class discrimination in a southern temperature forestThe utility of radar scatterometers for discrimination and characterization of natural vegetation was investigated. Backscatter measurements were acquired with airborne multi-frequency, multi-polarization, multi-angle radar scatterometers over a test site in a southern temperate forest. Separability between ground cover classes was studied using a two-class separability measure. Very good separability is achieved between most classes. Longer wavelength is useful in separating trees from non-tree classes, while shorter wavelength and cross polarization are helpful for discrimination among tree classes. Using the maximum likelihood classifier, 50% overall classification accuracy is achieved using a single, short-wavelength scatterometer channel. Addition of multiple incidence angles and another radar band improves classification accuracy by 20% and 50%, respectively, over the single channel accuracy. Incorporation of a third radar band seems redundant for vegetation classification. Vertical transmit polarization is critically important for all classes.
Document ID
19840025810
Document Type
Conference Paper
Authors
Mehta, N. C.
(NASA John F. Kennedy Space Center Cocoa Beach, FL, United States)
Date Acquired
August 12, 2013
Publication Date
August 1, 1984
Publication Information
Publication: ESA IGARSS 84. Remote Sensing: From Res. towards Operational Use, Vol. 1
Subject Category
EARTH RESOURCES AND REMOTE SENSING
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.