SAR-SIFT: A SIFT-LIKE ALGORITHM FOR APPLICATIONS ON SAR IMAGES

被引：28

作者：

Dellinger, Flora ^{[1
]}

Delon, Julie ^{[1
]}

Gousseau, Yann ^{[1
]}

Michel, Julien

Tupin, Florence ^{[1
]}

机构：

[1] Telecom ParisTech, LTCI CNRS, Paris, France

来源：

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

关键词：

SAR images; SIFT; DETECTOR;

D O I：

10.1109/IGARSS.2012.6350671

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：

The scale invariant feature transform (SIFT) algorithm, commonly used in computer vision, does not perform well on synthetic aperture radar (SAR) images, in particular because of the strong intensity and the multiplicative nature of the noise. We present an improvement of this algorithm for SAR images. First, a robust yet simple way to compute gradient on radar images is introduced. This step is first used to develop a new keypoints extraction algorithm, based on the Harris criterion. Second, we rely on this gradient definition to adapt the computation of both the main orientation and the geometric descriptor to SAR image specificities. We validate this new algorithm with different experiments and present an application of our new SAR-SIFT algorithm.

引用

页码：3478 / 3481

页数：4

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