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Segmentation of multifrequency polarimetric radar images to facilitate the inference of geophysical parametersAn unsupervised clustering algorithm is used to segment multifrequency polarimetric radar data from the NASA/JPL airborne SAR (synthetic aperture radar). Twenty-two parameters are evaluated for their discriminatory capability for each pixel of an image. A clustering analysis is then performed using different subsets of these parameters. This analysis relies on data taken as part of an intensive field experiment during the summer of 1988 in the vicinity of the Pisgah lava flow in the Mojave Desert in southern California. As part of the experiment, extensive ground truth was acquired, including dielectric constant and topography measurements. Segmentation results show good agreement with these measurements.
Document ID
19910030859
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Burnette, C F.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Dubois, P. C.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Van Zyl, J. J.
(JPL Pasadena, CA, United States)
Date Acquired
August 15, 2013
Publication Date
January 1, 1989
Subject Category
Earth Resources And Remote Sensing
Accession Number
91A15482
Distribution Limits
Public
Copyright
Other

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