Polarimetric SAR observables for land cover classification: analyses and comparisons

被引:1
作者
Alberga, Vito [1 ]
Satalino, Giuseppe [2 ]
Staykova, Doroteya K.
机构
[1] Royal Mil Acad, SIC, Av Renaissance 30, B-1000 Brussels, Belgium
[2] Natl Res Council CNR, ISSIA, I-70126 Bari, Italy
来源
SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES VIII | 2006年 / 6363卷
关键词
Earth observation; image classification; neural networks; synthetic aperture radar (SAR) polarimetry;
D O I
10.1117/12.691088
中图分类号
TB8 [摄影技术];
学科分类号
0804 ;
摘要
In this contribution, we present a study on a series of representations of polarimetric synthetic aperture radar (SAR) data, testing and comparing them with respect to their utility for land cover classification. Different classification algorithms are also compared. Part of this work is dedicated to the study of the dependence of the classification results on the varying size of averaging windows of pixels. Such an analysis will permit to prove if the polarimetric parameters under consideration describe only point-like physical properties of the targets or if they also contain "extended", local information. The final goal is to provide an objective estimate of the usefulness of these parameters.
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页数:12
相关论文
共 21 条
[11]   Unsupervised classification of multifrequency and fully polarimetric SAR images based on the H/A/alpha-Wishart classifier [J].
Ferro-Famil, L ;
Pottier, E ;
Lee, JS .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2001, 39 (11) :2332-2342
[12]   A three-component scattering model for polarimetric SAR data [J].
Freeman, A ;
Durden, SL .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1998, 36 (03) :963-973
[13]   ON THE APPROXIMATE REALIZATION OF CONTINUOUS-MAPPINGS BY NEURAL NETWORKS [J].
FUNAHASHI, K .
NEURAL NETWORKS, 1989, 2 (03) :183-192
[14]  
Hertz A. K. J., 1991, INTRO THEORY NEURAL
[15]  
KIMURA K, 2003, P IGARSS 2003 TOUL F
[16]  
KROGGER E, 1995, P JIPR 95 NANT FRANC, P708
[17]   Unsupervised terrain classification preserving polarimetric scattering characteristics [J].
Lee, JS ;
Grunes, MR ;
Pottier, E ;
Ferro-Famil, L .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2004, 42 (04) :722-731
[18]  
MORIYAMA T, 2004, P EUSAR ULM GERM 25, P435
[19]  
Pipia L., 2002, Proceedings 4th European Conference on Synthetic Aperture Radar. EUSAR 2002, P729
[20]  
Richards J.A., 2022, Remote Sensing Digital Image Analysis, V5, DOI DOI 10.1007/978-3-030-82327-6