NDLI: A Fourier Transform-based Approach to Fusion High Spatial Resolution Remote Sensing Images

Content Provider	IEEE Xplore Digital Library
Author	Denipote, J.G. Paiva, M.S.V.
Copyright Year	2008
Description	Author affiliation: Escola de Eng. de Sao Carlos, EESC. Univ. de Sao Paulo, Sao Paulo (Denipote, J.G.; Paiva, M.S.V.)
Abstract	The modern remote sensing imaging sensors, like those in the IKONOS and QuickBird satellites, are capable of generating panchromatic images with one meter spatial resolution and multispectral images with good spectral information. The principal objective of fusion in remote sensing is to obtain high-resolution multispectral images that can combine the spectral characteristic of the low-resolution multispectral images with the spatial information of the high-resolution panchromatic images. Traditional fusion methods, such as IHS, PCA and Brovey, can reach good spatial resolution results, but often cause spectral distortion problems. In the literature, it is possible to find some image fusion methods using frequency domain processing, like wavelet-based fusion methods. Although they preserve good spectral information, their spatial visual effects are not satisfactory. IHS fusion method enhanced by Fourier transform presents good spectral and spatial resolution results, but limits the number of spectral bands used in the fusion process to three. In this paper, a method based on Fourier transform is proposed in order to obtain good spatial and spectral resolutions, without limiting the number of bands. In order to compare the spatial and spectral effects of this new method with those of IHS, IHS enhanced by Fourier transform and wavelet-based methods, IKONOS panchromatic and multispectral images were used as the test data. Quantitative measurements such as correlation coefficient, discrepancy and Mean Structural Similarity index were applied to evaluate the quality of the fused images. The results have shown that the new method can keep almost the same spatial resolution as the panchromatic images, and its spectral effect is well preserved.
Starting Page	179
Ending Page	186
File Size	1196454
Page Count	8
File Format	PDF
ISBN	9780769534763
DOI	10.1109/ICVGIP.2008.108
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-16
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Frequency domain Fourier transforms Multispectral imaging Wavelet transform High-resolution imaging Sensor phenomena and characterization Fourier transform Remote sensing Image sensors Satellites IKONOS IHS Fusion power generation Image generation Spatial resolution Image fusion
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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