Paper
30 October 2009 Comparison of fusion imageries with spectral fidelity using SPOT5
Weitao Chen, Lin Zhang, Zhi Zhang, Yanxin Wang
Author Affiliations +
Proceedings Volume 7494, MIPPR 2009: Multispectral Image Acquisition and Processing; 74941K (2009) https://doi.org/10.1117/12.833983
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
Gram-Schmidt and Ehlers fusion, which are well known for spectral fidelity, are described. Selecting a sandrock mine using SPOT5 as study area, spectral fidelity and high spatial information gain are used to assess the two fusion methods, which are compared with multiplication and Andorr fusion. In the whole, the Gram-Schmidt method is the best, preserving highly the original spectral information, and can provide spectrum control foundation for interpreting mine targets in the complex geology environment. Ehlers method is the second. Then Andorr method is the third, and it has the highest spatial information gain, but high frequency information is enlarged excessively, effecting on the identification of mine exploitation state. The multiplication method is the worst, because it loses the high and low frequency information, which is the most important for mine targets recognition.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Weitao Chen, Lin Zhang, Zhi Zhang, and Yanxin Wang "Comparison of fusion imageries with spectral fidelity using SPOT5", Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74941K (30 October 2009); https://doi.org/10.1117/12.833983
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Cited by 1 scholarly publication.
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KEYWORDS
Image fusion

Mining

Spatial resolution

Edge detection

Target recognition

Remote sensing

Visualization

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