Title | ||
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Remote Sensing Image Fusion Using Statistical Univariate Finite Mixture Model In Shearlet Domain |
Abstract | ||
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Remote sensing image fusion is a process that integrates the spatial detail of panchromatic (PAN) image and the spectral information of a low-resolution multispectral (MS) image and produces a fused image that contain both high spatial and spectral details. In this paper, a new remote sensing image fusion method is proposed based on Statistical Univariate Finite Mixture Model (UFMM) in Shearlet Domain. Foremost, the Shearlet sub-bands for PAN and MS image are achieved by Shearlet Transform (ST). Latter, a novel fusion strategy is designed for both low and high pass sub-bands. Finally, the fused image is achieved by Inverse Shearlet Transform (IST). By comparing with the well-known methods in terms of several quality evaluation indexes, the experimental results on QuickBird and IKONOS images show the superiority of our method. |
Year | Venue | Keywords |
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2015 | 2015 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI) | Image fusion, Univariate finite mixture model, Shearlet transform, Profile likelihood, Singular value decomposition |
Field | DocType | Citations |
Computer vision,Image fusion,Pattern recognition,Computer science,Panchromatic film,Multispectral image,Shearlet,High-pass filter,Artificial intelligence,Univariate,Principal component analysis,Mixture model | Conference | 0 |
PageRank | References | Authors |
0.34 | 7 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Biswajit Biswas | 1 | 5 | 4.82 |
Abhishek Dey | 2 | 0 | 1.01 |
Kashi Nath Dey | 3 | 3 | 5.13 |