The Optimization Research of Geo-Environmental Monitoring Image Fusion Based on Framelet

Xiang Li; Yue Shun He; Xuan Zhan

doi:10.4028/www.scientific.net/AMR.121-122.945

Paper Titles

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Research on Simulation Platform Architecture for Noise Reduction of Electric Locomotive Wheel
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A Supervised Clustering Algorithm Based on Representative Points and its Application to Fault Diagnosis of Diesel Engine
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 121-122The Optimization Research of Geo-Environmental...

The Optimization Research of Geo-Environmental Monitoring Image Fusion Based on Framelet

Abstract:

As various types of geo-environmental monitoring image instrument are sprouting up, there are more and more materials based on infrared, visible light, dim light, remote sensing image, using various types of image data to improve detection accuracy and efficiency of the environment has become a focus for environmental technical personnels. From the perspective of information fusion, as well as comparing framelet and the traditional wavelet features, the environmental image fusion algorithm based on framelet transform is proposed, by choosing suitable integration rules in different directions, the amount of information is further improved. The experiments show that this algorithm has better effects for small target detection with infrared and visible light images.

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Periodical:

Advanced Materials Research (Volumes 121-122)

Pages:

945-950

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.121-122.945

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Online since:

June 2010

Authors:

Xiang Li, Yue Shun He, Xuan Zhan

Keywords:

Environmental Detection, Framelet Transform, Image Fusion

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