SPIN-2 Panchromatic and SPOT-4 Multi-Spectral Image Fusion  Based on Support Vector Machine

ZHAO Shu-he; FENG Xue-zhi; DU Jin-kang; LIN Guang-fa

doi:10.11834/jrs.20030511

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SPIN-2 Panchromatic and SPOT-4 Multi-Spectral Image Fusion Based on Support Vector Machine
Issue 5, Pages: 407-411(2003)
Published： 2003 ，
DOI： 10.11834/jrs.20030511

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[1]赵书河,冯学智,都金康,林广发.基于支持向量机的SPIN-2影像与SPOT-4多光谱影像融合研究[J].遥感学报,2003(05):407-411+434.

ZHAO Shu-he, FENG Xue-zhi, DU Jin-kang, et al. SPIN-2 Panchromatic and SPOT-4 Multi-Spectral Image Fusion Based on Support Vector Machine. [J]. Journal of Remote Sensing (5):407-411(2003)
[1]赵书河,冯学智,都金康,林广发.基于支持向量机的SPIN-2影像与SPOT-4多光谱影像融合研究[J].遥感学报,2003(05):407-411+434. DOI： 10.11834/jrs.20030511.

ZHAO Shu-he, FENG Xue-zhi, DU Jin-kang, et al. SPIN-2 Panchromatic and SPOT-4 Multi-Spectral Image Fusion Based on Support Vector Machine. [J]. Journal of Remote Sensing (5):407-411(2003) DOI： 10.11834/jrs.20030511.

摘要

遥感影像融合是解决多源海量数据富集表示的有效途径之一。针对高分辨率遥感数据SPIN 2 （2m）与多光谱遥感数据SPOT 4 （2 0m）的影像融合

提出了基于支持向量机（SVM）的遥感影像融合的新方法。建立了基于SVM的遥感影像融合模型

并进行了分类融合实验

实验效果较好。最后给出了分类融合评价。结果表明

支持向量机可用于遥感影像融合

且分类融合精度较高。

Abstract

Remote Sensing image fusion is an effective way to use the large volume of data from multi-source images.This paper introduces a new method of remote sensing image fusion based on support vector machine （SVM）

using high spatial resolution data SPIN-2 and multi-spectral remote sensing data SPOT-4.First the new method is established by building a model of remote sensing image fusion based on SVM.Then using SPIN-2 data and SPOT-4 data

to test image classification fusion.Finally

an evaluation of the fusion result is made in two ways: （1）From subjectivity assessment

the spatial resolution of the fused image is improved compared to the SPOT-4

and it is clearly that the texture of the fused image is distinctive; （2）From quantitative analysis

the effect of classification fusion is better.As a whole

the result shows that the accuracy of image fusion based on SVM is high and the SVM algorithm can be recommended for application in remote sensing image fusion processes.

关键词

影像融合SVM多光谱影像全色影像

Keywords

image fusionSVMmulti-spectral imagepanchromatic image

references

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A MVG-based non-reference quality evaluation method for Pan/MS Fusion

Integrating high-resolution remote sensing and street view images to identify urban villages： A case study in Yuexiu District， Guangzhou City

Review of deep learning in optical and SAR image fusion

Adaptive Non-local Pattern Consistency based Multi-modal Remote Sensing Image Change Detection

相关机构

Faculty of Electrical Engineering and Computer Science, Ningbo University

State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences

College of Resources and Environment, University of Chinese Academy of Sciences

Research Institute of Big Data and Artificial Intelligence, Southwest Forestry University

Surveying and Mapping Geo-Informatics Technology Research Center on Plateau Mountains of Yunnan Higher Education

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