SAR and MS image fusion based on curvelet transform and activity measure

Yaning Lu; Lei Guo; Huihui Li; Lei Li

doi:10.1109/ICEICE.2011.5777893

SAR and MS image fusion based on curvelet transform and activity measure

Yaning Lu, Lei Guo, Huihui Li, Lei Li

School of Automation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Curvelet Transform , as a method of Multi-scale Geometric Analysis(MGA), is more suitable for image processing and contains more directional information. In this paper, the method of integrating SAR image and MS image are proposed based on Curvelet transform and Activity Measure(AM) is described in detail. SAR image and MS image are given by Curvelet transform to obtain coarse coefficients and detail coefficients. Then, the inverse transform is applied to obtain the fusion product. Finally use Degree of Distortion (DoD) and Difference Coefficient (DC) etc. to evaluate the result. The results of experiment indicate that the method excels those of based on IHS or wavelet transform in preserving spectral information and enhancing resolution.

Original language	English
Title of host publication	2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Proceedings
Pages	1680-1683
Number of pages	4
DOIs	https://doi.org/10.1109/ICEICE.2011.5777893
State	Published - 2011
Event	2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Wuhan, China Duration: 15 Apr 2011 → 17 Apr 2011

Publication series

Name	2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Proceedings

Conference

Conference	2011 International Conference on Electric Information and Control Engineering, ICEICE 2011
Country/Territory	China
City	Wuhan
Period	15/04/11 → 17/04/11

Keywords

Activity Measure(AM)
Curvelet Transform
Multi-scale Geometric Analysis(MGA)
SAR Image Fusion

Access to Document

10.1109/ICEICE.2011.5777893

Cite this

Lu, Y., Guo, L., Li, H., & Li, L. (2011). SAR and MS image fusion based on curvelet transform and activity measure. In 2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Proceedings (pp. 1680-1683). Article 5777893 (2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Proceedings). https://doi.org/10.1109/ICEICE.2011.5777893

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title = "SAR and MS image fusion based on curvelet transform and activity measure",

abstract = "Curvelet Transform , as a method of Multi-scale Geometric Analysis(MGA), is more suitable for image processing and contains more directional information. In this paper, the method of integrating SAR image and MS image are proposed based on Curvelet transform and Activity Measure(AM) is described in detail. SAR image and MS image are given by Curvelet transform to obtain coarse coefficients and detail coefficients. Then, the inverse transform is applied to obtain the fusion product. Finally use Degree of Distortion (DoD) and Difference Coefficient (DC) etc. to evaluate the result. The results of experiment indicate that the method excels those of based on IHS or wavelet transform in preserving spectral information and enhancing resolution.",

keywords = "Activity Measure(AM), Curvelet Transform, Multi-scale Geometric Analysis(MGA), SAR Image Fusion",

author = "Yaning Lu and Lei Guo and Huihui Li and Lei Li",

year = "2011",

doi = "10.1109/ICEICE.2011.5777893",

language = "英语",

isbn = "9781424480395",

series = "2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Proceedings",

pages = "1680--1683",

booktitle = "2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Proceedings",

note = "2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 ; Conference date: 15-04-2011 Through 17-04-2011",

}

Lu, Y, Guo, L, Li, H & Li, L 2011, SAR and MS image fusion based on curvelet transform and activity measure. in 2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Proceedings., 5777893, 2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Proceedings, pp. 1680-1683, 2011 International Conference on Electric Information and Control Engineering, ICEICE 2011, Wuhan, China, 15/04/11. https://doi.org/10.1109/ICEICE.2011.5777893

SAR and MS image fusion based on curvelet transform and activity measure. / Lu, Yaning; Guo, Lei; Li, Huihui et al.
2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Proceedings. 2011. p. 1680-1683 5777893 (2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - SAR and MS image fusion based on curvelet transform and activity measure

AU - Lu, Yaning

AU - Guo, Lei

AU - Li, Huihui

AU - Li, Lei

PY - 2011

Y1 - 2011

N2 - Curvelet Transform , as a method of Multi-scale Geometric Analysis(MGA), is more suitable for image processing and contains more directional information. In this paper, the method of integrating SAR image and MS image are proposed based on Curvelet transform and Activity Measure(AM) is described in detail. SAR image and MS image are given by Curvelet transform to obtain coarse coefficients and detail coefficients. Then, the inverse transform is applied to obtain the fusion product. Finally use Degree of Distortion (DoD) and Difference Coefficient (DC) etc. to evaluate the result. The results of experiment indicate that the method excels those of based on IHS or wavelet transform in preserving spectral information and enhancing resolution.

AB - Curvelet Transform , as a method of Multi-scale Geometric Analysis(MGA), is more suitable for image processing and contains more directional information. In this paper, the method of integrating SAR image and MS image are proposed based on Curvelet transform and Activity Measure(AM) is described in detail. SAR image and MS image are given by Curvelet transform to obtain coarse coefficients and detail coefficients. Then, the inverse transform is applied to obtain the fusion product. Finally use Degree of Distortion (DoD) and Difference Coefficient (DC) etc. to evaluate the result. The results of experiment indicate that the method excels those of based on IHS or wavelet transform in preserving spectral information and enhancing resolution.

KW - Activity Measure(AM)

KW - Curvelet Transform

KW - Multi-scale Geometric Analysis(MGA)

KW - SAR Image Fusion

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BT - 2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Proceedings

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Lu Y, Guo L, Li H, Li L. SAR and MS image fusion based on curvelet transform and activity measure. In 2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Proceedings. 2011. p. 1680-1683. 5777893. (2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Proceedings). doi: 10.1109/ICEICE.2011.5777893

SAR and MS image fusion based on curvelet transform and activity measure

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Keywords

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