DocumentCode :
1507059
Title :
Fusion of airborne polarimetric and interferometric SAR for classification of coastal environments
Author :
Crawford, Melba M. ; Kumar, Shailesh ; Ricard, Michael R. ; Gibeaut, James C. ; Neuenschwander, Amy
Author_Institution :
Center for Space Res., Texas Univ., Austin, TX, USA
Volume :
37
Issue :
3
fYear :
1999
fDate :
5/1/1999 12:00:00 AM
Firstpage :
1306
Lastpage :
1315
Abstract :
AIRSAR and TOPSAR data were acquired over the wetlands of Bolivar Peninsula along the Gulf coast of Texas for mapping land cover types and topographic features such as beach ridges, dunes, and relict storm features. Classification of land cover over this wetlands and uplands environment is difficult because of the similarity of spectral signatures of the vegetation types. In addition, because the distribution of vegetation communities in coastal marshes is strongly related to salinity, which in turn is largely dictated by frequency and duration of inundation, surface topography is critical to determination of the vegetation characteristics at any location. The potential advantages of multisensor classification, including, in particular, topographic information from a TOPSAR DEM are investigated. An approach which employs a class dependent feature selection procedure in conjunction with pairwise Bayesian classifiers is proposed and applied to the polarimetric and interferometric SAR data
Keywords :
Bayes methods; airborne radar; geomorphology; geophysical signal processing; geophysical techniques; image classification; radar imaging; radar polarimetry; remote sensing by radar; sensor fusion; spaceborne radar; synthetic aperture radar; terrain mapping; Bayes method; Bayesian classifier; Bolivar Peninsula; InSAR; Texas; USA; airborne polarimetrr; airborne radar; beach ridge; coast; coastal; coastal environment; coastal marsh; dune; geomorphology; geophysical measurement technique; image classification; image processing; interferometric SAR; land cover; land surface; landform; multisensor classification; radar imaging; radar polarimetry; radar remote sensing; relict storm feature; sensor fusion; synthetic aperture radar; terrain mapping; wetlands; Bayesian methods; Neural networks; Optical interferometry; Radar scattering; Sea measurements; Sensor phenomena and characterization; Shape measurement; Surface topography; Synthetic aperture radar; Vegetation mapping;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.763293
Filename :
763293
Link To Document :
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