Title
Remote Sensing Image Fusion Using Statistical Univariate Finite Mixture Model In Shearlet Domain
Abstract
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
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 Biswas154.82
Abhishek Dey201.01
Kashi Nath Dey335.13