MULTI-SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE

ZHAO Shu-he; FENG Xue-zhi; KANG Guo-ding; RAMADAN Elnazir

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MULTI-SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE

ZHAO Shu-he, FENG Xue-zhi, KANG Guo-ding, RAMADAN Elnazir

文章导航 > Chinese Geographical Science > 2002 > 12(3): 244-248

ZHAO Shu-he, FENG Xue-zhi, KANG Guo-ding, RAMADAN Elnazir. MULTI-SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE[J]. 中国地理科学, 2002, 12(3): 244-248.

引用本文:

ZHAO Shu-he, FENG Xue-zhi, KANG Guo-ding, RAMADAN Elnazir. MULTI-SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE[J]. 中国地理科学, 2002, 12(3): 244-248.

ZHAO Shu-he, FENG Xue-zhi, KANG Guo-ding, RAMADAN Elnazir. MULTI-SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE[J]. Chinese Geographical Science, 2002, 12(3): 244-248.

Citation:

ZHAO Shu-he, FENG Xue-zhi, KANG Guo-ding, RAMADAN Elnazir. MULTI-SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE[J]. Chinese Geographical Science, 2002, 12(3): 244-248.

MULTI-SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE

Department of Urban & Resources Sciences, Nanjing University, Nanjing 210093, P. R. China

基金项目: Under the auspices of the National Natural Science Foundation of China(No.40171015).

详细信息

作者简介:
ZHAO Shu-he(1971- ),male,a native of Shandong, Ph. D. His main research interests include information extraction of high spatial resolution remote sensing data, data fusion of multi-source remote sensing.

中图分类号: P237

MULTI-SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE

Department of Urban & Resources Sciences, Nanjing University, Nanjing 210093, P. R. China

摘要: 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. Firstly, the new method is established by building a model of remote sensing image fusion based on SVM. Then by using SPIN-2 data and SPOT-4 data, image classification fusion is tested. 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.
- image fusion /
- SVM /
- multi-spectral image /
- panchromatic image
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. Firstly, the new method is established by building a model of remote sensing image fusion based on SVM. Then by using SPIN-2 data and SPOT-4 data, image classification fusion is tested. 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.
- image fusion /
- SVM /
- multi-spectral image /
- panchromatic image

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MULTI-SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE

Department of Urban & Resources Sciences, Nanjing University, Nanjing 210093, P. R. China

基金项目: Under the auspices of the National Natural Science Foundation of China(No.40171015).

作者简介:
ZHAO Shu-he(1971- ),male,a native of Shandong, Ph. D. His main research interests include information extraction of high spatial resolution remote sensing data, data fusion of multi-source remote sensing.

收稿日期: 2002-06-26
刊出日期: 2002-09-20

中图分类号: P237

关键词:

image fusion /

SVM /

multi-spectral image /

panchromatic image

摘要: 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. Firstly, the new method is established by building a model of remote sensing image fusion based on SVM. Then by using SPIN-2 data and SPOT-4 data, image classification fusion is tested. 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.

English Abstract

ZHAO Shu-he, FENG Xue-zhi, KANG Guo-ding, RAMADAN Elnazir. MULTI-SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE[J]. 中国地理科学, 2002, 12(3): 244-248.

引用本文:

ZHAO Shu-he, FENG Xue-zhi, KANG Guo-ding, RAMADAN Elnazir. MULTI-SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE[J]. 中国地理科学, 2002, 12(3): 244-248.

ZHAO Shu-he, FENG Xue-zhi, KANG Guo-ding, RAMADAN Elnazir. MULTI-SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE[J]. Chinese Geographical Science, 2002, 12(3): 244-248.

Citation:

ZHAO Shu-he, FENG Xue-zhi, KANG Guo-ding, RAMADAN Elnazir. MULTI-SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE[J]. Chinese Geographical Science, 2002, 12(3): 244-248.

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MULTI-SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE

作者简介: ZHAO Shu-he(1971- ),male,a native of Shandong, Ph. D. His main research interests include information extraction of high spatial resolution remote sensing data, data fusion of multi-source remote sensing.

MULTI-SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE

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出版历程

MULTI-SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE

Department of Urban & Resources Sciences, Nanjing University, Nanjing 210093, P. R. China

作者简介: ZHAO Shu-he(1971- ),male,a native of Shandong, Ph. D. His main research interests include information extraction of high spatial resolution remote sensing data, data fusion of multi-source remote sensing.

English Abstract

MULTI-SOURCE REMOTE SENSING IMAGE FUSION BASED ON SUPPORT VECTOR MACHINE

Department of Urban & Resources Sciences, Nanjing University, Nanjing 210093, P. R. China

全文HTML

目录

作者简介:
ZHAO Shu-he(1971- ),male,a native of Shandong, Ph. D. His main research interests include information extraction of high spatial resolution remote sensing data, data fusion of multi-source remote sensing.

作者简介:
ZHAO Shu-he(1971- ),male,a native of Shandong, Ph. D. His main research interests include information extraction of high spatial resolution remote sensing data, data fusion of multi-source remote sensing.