Fusion of airborne polarimetric and interferometric SAR for classification of coastal environments

被引:29
作者
Crawford, MM [1 ]
Kumar, S
Ricard, MR
Gibeaut, JC
Neuenschwander, A
机构
[1] Univ Texas, Ctr Space Res, Austin, TX 78712 USA
[2] Raytheon Syst Co, Dallas, TX 75266 USA
[3] Univ Texas, Bur Econ Geol, Austin, TX 78713 USA
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 1999年 / 37卷 / 03期
基金
美国国家航空航天局;
关键词
AIRSAR; Bayesian classifiers; data fusion; feature selection; image classification; multiresolution; synthetic aperture radar (SAR); TOPSAR; wetlands mapping;
D O I
10.1109/36.763293
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
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.
引用
收藏
页码:1306 / 1315
页数:10
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