A Pan-Sharpening Method Based on Evolutionary Optimization and IHS Transformation
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
In many remote sensing applications, users usually prefer a multispectral image with both high spectral and high spatial information.
This high quality image could be obtained by pan-sharpening techniques which fuse a high resolution panchromatic (PAN) image and a low resolution multispectral (MS) image.
In this paper, we propose a new technique to do so based on the adaptive intensity-hue-saturation (IHS) transformation model and evolutionary optimization.
The basic idea is to reconstruct the target image through a parameterized adaptive IHS transformation.
An optimization objective is thus introduced by considering the relations between the fused image and the original PAN and MS images.
The control parameters are optimized by an evolutionary algorithm.
Experimental results show that our new approach is practical and performs much better than some state-of-the-art techniques according to the performance metrics.
American Psychological Association (APA)
Chen, Yingxia& Zhang, Guixu. 2017. A Pan-Sharpening Method Based on Evolutionary Optimization and IHS Transformation. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1192267
Modern Language Association (MLA)
Chen, Yingxia& Zhang, Guixu. A Pan-Sharpening Method Based on Evolutionary Optimization and IHS Transformation. Mathematical Problems in Engineering No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1192267
American Medical Association (AMA)
Chen, Yingxia& Zhang, Guixu. A Pan-Sharpening Method Based on Evolutionary Optimization and IHS Transformation. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1192267
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192267