Multi-modal Registration of SAR and Optical Satellite Images

被引：10

作者：

Hasan, Mahmudul ^{[1
]}

Pickering, Mark R. ^{[1
]}

Jia, Xiuping ^{[1
]}

机构：

[1] Univ New S Wales, Univ Coll, Sch Engn & Informat Technol, Australian Def Force Acad, Canberra, ACT, Australia

来源：

2009 DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA 2009) | 2009年

关键词：

MUTUAL INFORMATION; OPTIMIZATION;

D O I：

10.1109/DICTA.2009.77

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Frequently the need arises to combine remotely sensed data taken from different sensors for improved interpretation of an imaged area. However, before this multi-sensor data fusion can be performed the image data must first be registered geometrically. In this paper we investigate the use of an information-theoretic similarity measure known as Cross-Cumulative Residual Entropy (CCRE) to perform the registration of SAR imagery and optical data. An affine transformation is implemented in the registration procedure to account for geometric errors other than simple translation and rotation. The results of our experiments showed that the CCRE registration algorithm performed satisfactorily and provided a significant improvement over the standard mutual-information based technique.

引用

页码：447 / 453

页数：7

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