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2017 | OriginalPaper | Chapter

A Feature-Based Mutual Information and Wavelet Method for Image Fusion

Authors : Yulong Liu, Yiping Chen, Cheng Wang, Ming Cheng

Published in: Intelligent Autonomous Systems 14

Publisher: Springer International Publishing

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Abstract

Accurate image fusion is an essential technique to obtain more information from remote sensing image in different sensors. This paper presents a method for fusion delineating objects from multiple sensors. The proposed algorithm partitions feature-based mutual information into the maximization as the requirement for fusion, which consists of entropy in the image. The wavelet transform decomposes the maximum value of the mutual information for image fusion. To evaluate the validity of the proposed method, experiments were conducted using two types of remote sensing images. The overlapping, correctness, and quality of the fusion object are over 98 %, 95.3 %, and 95.1 % respectively, which proves the proposed method is a promising solution for registration and fusion from two remote sensing images.

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Metadata
Title
A Feature-Based Mutual Information and Wavelet Method for Image Fusion
Authors
Yulong Liu
Yiping Chen
Cheng Wang
Ming Cheng
Copyright Year
2017
Book
Intelligent Autonomous Systems 14

Print ISBN: 978-3-319-48035-0

Electronic ISBN: 978-3-319-48036-7

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-48036-7_33

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