A selective compression algorithm for SAR images based on irregular and adaptive sampling

被引：0

作者：

Avagnina, D ^{[1
]}

Dovis, F ^{[1
]}

Lo Presti, L ^{[1
]}

Mulassano, P ^{[1
]}

机构：

[1] Politecn Torino, SAS Grp, Dept Elect, I-10129 Turin, Italy

来源：

ICECS 2001: 8TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS, VOLS I-III, CONFERENCE PROCEEDINGS | 2001年

关键词：

D O I：

10.1109/ICECS.2001.957424

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper deals with the topic of selective compression of SAR images. A novel algorithm based on the use of irregular and adaptive sampling is presented: good compression ratios can be achieved selecting the Regions Of Interest (ROI) within the image in order to represent them with an adequate set of samples, while the textured or uniform background is roughly sampled. The method here presented has been tested on several SAR images obtaining very good performance. An example of application is given in this paper.

引用

页码：1171 / 1174

页数：4