Data fusion for multisensor images based on edge features

Jun Li; Deren Li

doi:10.1117/12.319527

19 August 1998 Data fusion for multisensor images based on edge features

Jun Li, Deren Li

Proceedings Volume 3504, Optical Remote Sensing for Industry and Environmental Monitoring; (1998) https://doi.org/10.1117/12.319527
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China

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.

Citation Download Citation

Jun Li and Deren Li "Data fusion for multisensor images based on edge features", Proc. SPIE 3504, Optical Remote Sensing for Industry and Environmental Monitoring, (19 August 1998); https://doi.org/10.1117/12.319527

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