NDLI: Regularised IHS-based pan-sharpening approach using spectral consistency constraint and total variation

Content Provider	IET Digital Library
Author	Khateri, Mohammad Shabanzade, Fahim Mirzapour, Fardin
Abstract	In this study, the authors address the fusion of low-resolution multi-spectral image with the corresponding high-resolution panchromatic image to provide high-resolution multi-spectral (HRM) one, i.e. pan sharpening. The intensity–hue–saturation (IHS)-based pan-sharpening methods are popular because they are simple, efficient, and of high-spatial quality. However, their frameworks are unavoidably subject to spectral distortion. To reduce the inevitable spectral distortion of IHS-based pan-sharpening approaches, the spectral consistency constraint is used in the proposed method. Moreover, to stabilise fusion results obtained from the ill-posed pan-sharpening problem and to keep the smoothness of the HRM image, a total variation regularisation term is considered. These considerations are formulated in a non-quadratic optimisation problem. To solve this problem, a kind of variable splitting method, known as half-quadratic approximation is utilised, and also an alternating optimisation procedure is used to reconstruct HRM image. To gain convenient control on the local spectral and the spatial information, and also to reduce the required memory, in the optimisation stage, the patch-based strategy is employed. The proposed method was tested on two datasets acquired by GeoEye-1 and Pleiades satellites. To evaluate the proposed method, visual assessment, as well as quantitative comparison with different pan-sharpening methods, was carried out.
Starting Page	94
Ending Page	104
Page Count	11
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 1, Jan (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0283
Journal	IET Image Processing
Publisher Date	2019-10-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Artificial Satellites Computer Vision And Image Processing Technique Corresponding High-resolution Panchromatic Image Different Pan-sharpening Method Fusion Result Geophysical Image Processing High-resolution Multispectral High-spatial Quality HRM Image IHS-based Pan-sharpening Approach Image Colour Analysis Image Fusion Image Reconstruction Image Resolution Inevitable Spectral Distortion Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Intensity–hue–saturation-based Pan-sharpening Methods Local Spectral Low-resolution Multispectral Image Nonquadratic Optimisation Problem Optical, Image And Video Signal Processing Optimisation Pan Sharpening Pan-sharpening Problem Patch-based Strategy Regularised IHS-based Pan-sharpening Approach Remote Sensing Spectral Consistency Constraint Total Variation Regularisation Term Variable Splitting Method
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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