Paper Info
Title
Spectral Mapping Based on Panchromatic Block Structure Analysis.
Abstract
Fusing panchromatic (PAN) and multispectral (MS) images, i.e., pansharpening, can obtain a high-resolution MS (HRMS) image. In this paper, we propose a spectral mapping framework for pansharpening problem based on PAN block structure analysis (PBSA). The PBSA employs boundary, inner uniqueness, and neighborhood comparisons as block structure characteristics to classify the PAN image blocks into pureness composition and mixture composition. For the PAN blocks with pureness composition, they can directly copy the spectral information of corresponding MS pixels. For the mixture PAN blocks, assuming that they can linearly represented by some pure PAN blocks, their spectral signals can get via a weighted average from the relative pure PAN blocks. The experiments on real PAN and MS pairs show that the proposed pansharpening method not only conforms to the structure of the PAN image but also preserves the spectral information of the MS image. The final fused HRMS image shows good performance in visual effect and objective assessment.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2853150
IEEE ACCESS
Keywords
Field
DocType
Remote sensing,image fusion,pansharpening
Image fusion,Pattern recognition,Panchromatic film,Computer science,Multispectral image,Multiresolution analysis,Pixel,Artificial intelligence,Image resolution,Distortion,Principal component analysis,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Xiaoyan Luo174.17
Liangyu Zhou200.68
Xiaofeng Shi300.68
Han Wan42810.98
Jihao Yin59012.18