Wavelet and Karhunen Loeve transformations applied to SAR signals and images

被引：4
|
作者：
Caiafa, CF
Sassano, MP
Proto, A
机构：
[1] Comis Nacl Actividades Especiales, RA-1063 Buenos Aires, DF, Argentina
[2] Univ Buenos Aires, Fac Ingn, Lab Sistemas Complejos, RA-1053 Buenos Aires, DF, Argentina
[3] Comis Invest Cientif, Buenos Aires, DF, Argentina
来源：
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2005年 / 356卷 / 01期
关键词：
image forming and processing; speckle removal; pattern recognition;
D O I：
10.1016/j.physa.2005.05.032
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
We developed two new tools to deal with synthetic aperture radar (SAR) images, based on two different and powerful mathematical formalism: wavelets (WT) and Karhunen Loeve transforms (KLT). WT are used to remove the undesirable speckle, which comes from the specific measurement process of SAR systems, and KLT for the co-registration of SAR images. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码：172 / 177
页数：6
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