Share Email Print
cover

Proceedings Paper

Multisensor data fusion based on the second generation curvelet transform
Author(s): Moyan Xiao; Zhibiao He
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper aims to describe an improved method for integrating the SAR features into multispectral(MS) images based on the second generation curvelet transform. Curvelet transform(CT),as a special member of the emerging family of multiscale geometric transform, overcomes inherent limitation of traditional multiscale representation and owns very high directional sensitivity and anisotropy. It represents edges and singularities along curves much more efficiently than the traditional wavelet transform. To get more information in fusion image, the curvelet transform is introduced. The proposal of the second generation curvelet theory makes it understood and implemented more easily. SAR image has higher spatial resolution, but MS images have more spectral information. In order to get maximal integration of SAR features and the maximal preservation of the spectral content, two kinds of images may be implemented by different scales curvelet decomposition. And these decomposed curvelet coefficients can be processed according to certain fusion regular. Then detail information of SAR and approximate information of MS will be extracted by inverse curvelet transform respectively. At last fused image is obtained by injecting SAR's detail information into the MS's approximate information. Landsat TM and SAR images covering a region of sanshui in Guangdong province are used to evaluate the effect of the proposed method and some other fusion methods in terms of spectral preservation and spatial resolution improvement. The results show that the proposed method can provide richer information in the spatial and spectral domain.

Paper Details

Date Published: 15 November 2007
PDF: 8 pages
Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67872C (15 November 2007); doi: 10.1117/12.752759
Show Author Affiliations
Moyan Xiao, Wuhan Univ. (China)
Zhibiao He, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 6787:
MIPPR 2007: Multispectral Image Processing

© SPIE. Terms of Use
Back to Top