SAR IMAGE SIMULATION FOR THE ASSESSMENT OF DESPECKLING TECHNIQUES

被引：3

作者：

Di Martino, Gerardo ^{[1
]}

Poderico, Mariana ^{[1
]}

Poggi, Giovanni ^{[1
]}

Riccio, Daniele ^{[1
]}

Verdoliva, Luisa ^{[1
]}

机构：

[1] Univ Naples Federico II, I-80125 Naples, Italy

来源：

2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2012年

关键词：

Synthetic aperture radar (SAR); speckle reduction; quality assessment;

D O I：

10.1109/IGARSS.2012.6351163

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];

摘要：

We propose a new framework for the quantitative assessment of SAR despeckling techniques, based on physical-level simulation of SAR images corresponding to canonical scenes. Thanks to the simulator, we can generate multiple SAR images of the same scene which differ only in the speckle content, and, hence, a true multilook SAR image, with an arbitrarily large number of looks, to use as "speckle-free" reference. Based on this concept, we select a small set of canonical scenes and, for each of them, a suitable set of objective measures which account for speckle suppression and image feature preservation. We gain insight into the system reliability by comparing the indications it gives for some sample despeckling filters with those obtained by expert visual inspection of the filtered images.

引用

页码：1797 / 1800

页数：4

共 10 条

[1]

Spatially adaptive wavelet-based method using the Cauchy prior for denoising the SAR images [J].