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Proceedings Paper

Fusion of spectral and panchromatic images using false color mapping and wavelet integrated approach
Author(s): Yongqiang Zhao; Quan Pan; Hongcai Zhang
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Paper Abstract

With the development of sensory technology, new image sensors have been introduced that provide a greater range of information to users. But as the power limitation of radiation, there will always be some trade-off between spatial and spectral resolution in the image captured by specific sensors. Images with high spatial resolution can locate objects with high accuracy, whereas images with high spectral resolution can be used to identify the materials. Many applications in remote sensing require fusing low-resolution imaging spectral images with panchromatic images to identify materials at high resolution in clutter. A pixel-based false color mapping and wavelet transform integrated fusion algorithm is presented in this paper, the resulting images have a higher information content than each of the original images and retain sensor-specific image information. The simulation results show that this algorithm can enhance the visibility of certain details and preserve the difference of different materials.

Paper Details

Date Published: 2 February 2006
PDF: 7 pages
Proc. SPIE 6031, ICO20: Remote Sensing and Infrared Devices and Systems, 60310T (2 February 2006); doi: 10.1117/12.668031
Show Author Affiliations
Yongqiang Zhao, Northwestern Polytechnical Univ. (China)
Quan Pan, Northwestern Polytechnical Univ. (China)
Hongcai Zhang, Northwestern Polytechnical Univ. (China)

Published in SPIE Proceedings Vol. 6031:
ICO20: Remote Sensing and Infrared Devices and Systems
Jingshan Jiang; O. Yu. Nosach; Jiaqi Wang, Editor(s)

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