A Feature Matching Algorithm Based on an Illumination and Affine Invariant for Aerial Image Registration

This paper presents a new feature matching algorithm for registering aerial images with large illumination distortion, similar patterns, affine transformation and low overlapping areas. In this algorithm, affine invariant regions are obtained by a K-NN graph and its corresponding adjacent graph. The...

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Bibliographic Details
Published inSensors & transducers Vol. 163; no. 1; p. 82
Main Authors Liu, Zhaoxia, Wang, Yaxuan, Jing, Yu
Format Journal Article
LanguageEnglish
Published Toronto IFSA Publishing, S.L 01.01.2014
Subjects
Aerials
Algorithms
Graphs
Illumination
Invariants
Matching
Random variables
Remote sensing
Retinex (algorithm)
Online AccessGet full text
ISSN2306-8515
1726-5479
1726-5479

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Summary:This paper presents a new feature matching algorithm for registering aerial images with large illumination distortion, similar patterns, affine transformation and low overlapping areas. In this algorithm, affine invariant regions are obtained by a K-NN graph and its corresponding adjacent graph. Then an illumination and affine invariant called Illumination Invariant MultiScale Autoconvolution (IIMSA), which is the combination of MSA and MultiScale Retinex (MSR), is defined to describe the triangle regions. Based on the IIMSA, outliers are removed by a self-adaptive feature matching strategy. The performance of the proposed algorithm is evaluated by registering both visible and thermal infrared (thermal-IR) images. Compared with MSA, the accuracy of the proposed algorithm is highly improved. [PUBLICATION ABSTRACT]
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ISSN:2306-8515
1726-5479
1726-5479