Differential Evolution as a viable tool for satellite image registration

被引：66

作者：

De Falco, I. ^{[1
]}

Della Cioppa, A. ^{[2
]}

Maisto, D. ^{[1
,3
]}

Tarantino, E. ^{[1
]}

机构：

[1] Natl Res Council Italy ICAR CNR, Inst High Performance Comp & Networking, I-80131 Naples, Italy

[2] Univ Salerno, Nat Computat Lab DIIIE, I-84084 Fisciano, SA, Italy

[3] Univ Modena & Reggio Emilia, Sch Grad Studies, I-41100 Modena, Italy

来源：

APPLIED SOFT COMPUTING | 2008年 / 8卷 / 04期

关键词：

differential evolution; image registration; remote sensing; affine transformation; mutual information;

D O I：

10.1016/j.asoc.2007.10.013

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A software system grounded on Differential Evolution to automatically register multiview and multitemporal images is designed, implemented and tested through a set of 2D satellite images on two problems, i.e. mosaicking and changes in time. Registration is effected by looking for the best affine transformation in terms of maximization of the mutual information between the first image and the transformation of the second one, and no control points are needed in this approach. This method is compared against five widely available tools, and its effectiveness is shown. (C) 2007 Elsevier B.V. All rights reserved.

引用

页码：1453 / 1462

页数：10

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