SELF-ORGANIZING FEATURE MAP BASED POLARIMETRIC SAR DATA DENOISING

被引：2

作者：

Shitole, Sanjay ^{[1
]}

Rao, Y. S. ^{[1
]}

Mohan, B. Krishna ^{[1
]}

Das, Anup ^{[2
]}

机构：

[1] Indian Inst Technol, Ctr Studies Resources Engn, Bombay 400076, Maharashtra, India

[2] Indian Space Res Org, Ctr Space Applicat, Ahmadabad 380015, Gujarat, India

来源：

2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2013年

关键词：

Polarimetric SAR; Speckle Filter; Self-Organizing Feature Map; IDAN filter; Improved Sigma filter;

D O I：

10.1109/IGARSS.2013.6723296

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Speckle has a nature of multiplicative noise which is difficult to deal as compared to additive noise. It complicates the problem of interpretation of the image segmentation and classification. The primary goal of existing speckle filtering algorithms, which are subjective in nature is to reduce the speckle without loss of information. Various techniques have been proposed to suppress the speckle. In this paper we propose Self-Organizing Feature Map (SOFM) based polarimetric SAR speckle filter. The filter is evaluated using fully polarimetric ALOSPALSAR and Radarsat-2 data imaged over Mumbai, India. Quantitative and qualitative results revels that SOFM based approach is effective in terms of bias and speckle reduction.

引用

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页码：2373 / 2376

页数：4

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