Contents correlation and genetic algorithm based remote sensing images fusion
Autor(en): | Na, Y. Ehlers, M. Ji, H. Shi, L. |
Stichwörter: | Cmulti-spectral images; Contents correlation; Contourlet transform; Genetic Algorithm; Genetic algorithms; Multi-spectral images; Panchromatic images; Panchromatic images, Image fusion; Redundancy; Remote sensing images; Remote sensing, Imaging properties | Erscheinungsdatum: | 2007 | Journal: | Proceedings of SPIE - The International Society for Optical Engineering | Volumen: | 6749 | Zusammenfassung: | A contents correlation and Genetic Algorithm based remote sensing images fusion method is presented. Based on the imaging properties of Panchromatic images and multi-spectral images, contents correlation analysis concept is introduced. The fusion procedure is that Contourlet transform decomposition of Panchromatic and multi-spectral images, Analysis of redundancy and supplement relations of images contents, the construction of fusion method to redundancy components and supplement components, fusion algorithms optimization by using Genetic Algorithm. Finally, a fused image can be obtained with inverse Contourlet transform. Preliminary experiment results show that this method is better than ordinary wavelet transform based fusion method, IHS transform based fusion method and PCA transform based fusion method. |
Beschreibung: | Conference of Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII ; Conference Date: 17 September 2007 Through 20 September 2007; Conference Code:71537 |
ISBN: | 9780819469076 | ISSN: | 0277786X | DOI: | 10.1117/12.737705 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-40749133723&doi=10.1117%2f12.737705&partnerID=40&md5=ed55161b220b84581cdfc443f6fefe0b |
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geprüft am 18.05.2024