Fusion Method for Remote Sensing Image Based on Fuzzy Integral

Author:

Zhou Hui12ORCID,Gao Hongmin1ORCID

Affiliation:

1. College of Computer and Information Engineering, Hohai University, Nanjing 211100, China

2. College of Computer and Software, Nanjing Institute of Industry Technology, Nanjing 210046, China

Abstract

This paper presents a kind of image fusion method based on fuzzy integral, integrated spectral information, and 2 single factor indexes of spatial resolution in order to greatly retain spectral information and spatial resolution information in fusion of multispectral and high-resolution remote sensing images. Firstly, wavelet decomposition is carried out to two images, respectively, to obtain wavelet decomposition coefficients of the two image and keep coefficient of low frequency of multispectral image, and then optimized fusion is carried out to high frequency part of the two images based on weighting coefficient to generate new fusion image. Finally, evaluation is carried out to the image after fusion with introduction of evaluation indexes of correlation coefficient, mean value of image, standard deviation, distortion degree, information entropy, and so forth. The test results show that this method integrated multispectral information and space high-resolution information in a better way, and it is an effective fusion method of remote sensing image.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,General Computer Science,Signal Processing

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Learning to rank through graph-based feature fusion using fuzzy integral operators;Applied Intelligence;2024-09-04

2. A Non-conventional Review on Image Fusion Techniques;2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON);2021-11-11

3. An Infrared-Visible Image Registration Method Based on the Constrained Point Feature;Sensors;2021-02-08

4. Gap Detection of Switch Machines in Complex Environment Based on Object Detection and Image Processing;Journal of Transportation Engineering, Part A: Systems;2020-08

5. Deep learning in remote sensing scene classification: a data augmentation enhanced convolutional neural network framework;GIScience & Remote Sensing;2017-05-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3