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

Yaning Lu, Lei Guo, Huihui Li, Lei Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

5 引用 (Scopus)

摘要

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.

源语言英语
主期刊名2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Proceedings
1680-1683
页数4
DOI
出版状态已出版 - 2011
活动2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Wuhan, 中国
期限: 15 4月 201117 4月 2011

出版系列

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

会议

会议2011 International Conference on Electric Information and Control Engineering, ICEICE 2011
国家/地区中国
Wuhan
时期15/04/1117/04/11

指纹

探究 'SAR and MS image fusion based on curvelet transform and activity measure' 的科研主题。它们共同构成独一无二的指纹。

引用此