High resolution sensing and anisotropic segmentation for SAR imagery

被引：0

作者：

Georgiou, TT ^{[1
]}

Tannenbaum, A ^{[1
]}

机构：

[1] Univ Minnesota, Dept Elect & Comp Engn, Minneapolis, MN 55455 USA

来源：

PROCEEDINGS OF THE 39TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5 | 2000年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The purpose of this note is to introduce new methodologies for high resolution image processing and knowledge-based segmentation for SAR imagery. These techniques could also have a major impact on problems in radar and remote sensing where modern mathematical tools and optimization techniques are likely to advance significantly the current state of the art.

引用

页码：4324 / 4326

页数：3

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