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Proceedings Paper

Data fusion for multisensor images based on edge features
Author(s): Jun Li; Deren Li
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Paper Abstract

This paper presents a new image fusion scheme based on multi- resolution analysis of wavelet theory for multi-sensor images. An area-based maximum variance selection rule is used for feature selection of the wavelet planes at different scale. Experimental results including the fusion of black-white air- photo and Landsat TM images, Landsat TM and SAR images are presented in the paper. Compared with the IHS method, the proposed scheme provides more reliable and capable of adaptability for combining and preserving the benefit of both the high spatial information of high-resolution image and the essential spectral information of low-resolution multi- spectral images.

Paper Details

Date Published: 19 August 1998
PDF: 7 pages
Proc. SPIE 3504, Optical Remote Sensing for Industry and Environmental Monitoring, (19 August 1998); doi: 10.1117/12.319527
Show Author Affiliations
Jun Li, Wuhan Technical Univ. of Surveying and Mapping (Canada)
Deren Li, Wuhan Technical Univ. of Surveying and Mapping (China)


Published in SPIE Proceedings Vol. 3504:
Optical Remote Sensing for Industry and Environmental Monitoring
Upendra N. Singh; Huanling Hu; Gengchen Wang, Editor(s)

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