NDLI: Remote sensing data fusion algorithms with parallel computing

Content Provider	IEEE Xplore Digital Library
Author	Akoguz, A. Ozdemir, A. Yucel, M. Pinar, S.K. Bagis, S. Kartal, M.
Copyright Year	2013
Description	Author affiliation: Fac. of Comput. & Inf., Istanbul Tech. Univ., Istanbul, Turkey (Ozdemir, A.; Bagis, S.) \|\| Nat. Software Certification Center, Istanbul Tech. Univ., Istanbul, Turkey (Yucel, M.) \|\| Electonics & Commun. Eng., Istanbul Tech. Univ., Istanbul, Turkey (Akoguz, A.) \|\| Fac. of Electrics & Electron., Istanbul Tech. Univ., Istanbul, Turkey (Pinar, S.K.; Kartal, M.)
Abstract	The advances in satellite technologies, image analysis techniques and computational power make possible processing huge amounts of high resolution images in real time. Acquiring high resolution images has a drawback, as the pixel resolution increases the surveyed area decreases. Multispectral scene is an image stack including numerous spectral bands from the electromagnetic wave spectrum, leading to richer spectral resolution. On the other hand, higher spatial resolution is included in the Panchromatic image. In order to have an image with higher spectral and spatial resolution, the applied merging process is called fusion. In this paper, fourteen different image fusion techniques were implemented. Serial implementations of all these approaches have longer execution time disadvantage compared to parallel approaches. To decrease execution time, the methods were modified with parallel computing approaches. This paper presents a comparison regarding speed performance of all fourteen methods' serial and parallel implementations to increase pixel resolution and keep spatial resolution high by combining spectral and spatial information of high and low resolution images of the same co-registered region. Additionally, spectral quality assessments of methods are presented.
Sponsorship	IEEE Aerosp. Electron. Syst. Soc.
Starting Page	87
Ending Page	92
File Size	1266179
Page Count	6
File Format	PDF
ISBN	9781467363952
e-ISBN	9781467363969
DOI	10.1109/RAST.2013.6581336
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-12
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	pansharpening Instruction sets SPOT OpenMP multispectral imagery fusion quality assessment Multiresolution analysis Histograms Satellites Data fusion Spatial resolution parallel computing Principal component analysis
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
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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

A critical comparison of pansharpening algorithms

MultiResolution Analysis and Component Substitution techniques for hyperspectral Pansharpening

Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest

Evaluation of various pansharpening methods using image quality metrics

Affinity Pansharpening and Image Fusion

Remote-sensing image fusion based on Multiwavelet Transform and IHS Transform

A novel pansharpening algorithm for IKONOS and QuickBird images

Effects of multitemporal scene changes on pansharpening fusion

Quality analysis of pansharpened images

Remote sensing data fusion algorithms with parallel computing

Similar Documents

A critical comparison of pansharpening algorithms

MultiResolution Analysis and Component Substitution techniques for hyperspectral Pansharpening

Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest

Evaluation of various pansharpening methods using image quality metrics

Affinity Pansharpening and Image Fusion

Remote-sensing image fusion based on Multiwavelet Transform and IHS Transform

A novel pansharpening algorithm for IKONOS and QuickBird images

Effects of multitemporal scene changes on pansharpening fusion

Quality analysis of pansharpened images

Remote sensing data fusion algorithms with parallel computing