Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/3715
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZaveri, Tanish-
dc.contributor.authorMakwana, Ishit-
dc.contributor.authorZaveri, Mukesh-
dc.date.accessioned2012-07-24T07:49:54Z-
dc.date.available2012-07-24T07:49:54Z-
dc.date.issued2010-08-23-
dc.identifier.citation10th International conference on Hybrid Intelligent Systems (HIS'10), Atlanta, USA, August 23-25, 2010, Page No. 13-18en_US
dc.identifier.urihttp://10.1.7.181:1900/jspui/123456789/3715-
dc.description.abstractAbstract-In most of the standard Pan-sharpening methods, it is observed that color distortion appears in the final Pansharped image. In the area of image analysis in remote sensing applications, spectral information plays an important role and due to the color distortion, image analysis may get affected. In this paper, a fuzzy based hybrid multispectral image fusion method using wavelet transform is proposed which provides novel tradeoff solution between the spectral and spatial fidelity and preserves more detail spectral and spatial information. New fuzzy based hybrid image fusion rules are also proposed. Proposed method is applied on several registered Panchromatic and Multispectral images and simulation results are compared using standard image fusion parameters. The simulation results of proposed method are also compared with five different standard and recently proposed Pan sharpening methods. It has been observed from simulation results that the proposed algorithm preserves better spatial and spectral information and better visual quality as compared to earlier reported methods.en_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesITFEC008-8en_US
dc.subjectFusionen_US
dc.subjectMultispectralen_US
dc.subjectDiscrete Wavelet Transformen_US
dc.subjectFuzzy Logicen_US
dc.subjectEC Faculty Paperen_US
dc.subjectFaculty Paperen_US
dc.subjectITFEC008en_US
dc.titleA Fuzzy based Hybrid Multispectral Image Fusion Method Using DWTen_US
dc.typeFaculty Papersen_US
Appears in Collections:Faculty Papers, EC

Files in This Item:
File Description SizeFormat 
ITFEC008-8.pdfITFEC008-82.66 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.