Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/342477
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dc.coverage.spatialCertain investigations on hyperspectral image compression using transforms
dc.date.accessioned2021-09-29T09:39:11Z-
dc.date.available2021-09-29T09:39:11Z-
dc.identifier.urihttp://hdl.handle.net/10603/342477-
dc.description.abstractProgression observed with techniques of satellite communication newlinenecessitated the huge quantity of information that has to be communicated to newlineground station. Therefore, increased amount of bandwidth for the purpose of newlinetransmission and space requirement to store the information are considered newlineas significant factors. Currently utilization of Hyperspectral Imaging (HSI) newlinehas tremendously increased. Delivery of huge quantity of closely spaced newlinebands within various categories of electromagnetic spectrum is observed to newlinebe generated by hyperspectral imaging. Compression has to be performed in newlineHyperspectral images in order to solve inadequacies with storage along with newlinethe bandwidth observed in systems. Carrying out the process of compression will fall under the category of lossy and lossless manner. Considerable reduction in content was newlineobserved with the use of lossy manner. However, certain degradation in the newlinequality of images which will affect the further analysis of images was newlineobserved. Moreover, assessment measures which will determine the quality newlineof reconstructed images such as mean square error along with Peak Signal to newlineNoise ratio produced poor results. Utilization of the lossy compression was newlinenot appropriate for applications demanding subsequent investigation due to newlinethe above mentioned factors. In order to assure superiority in image content, newlinemuch concentration is given for compression without degradation of newlineinformation as performed for HSI. newline newline
dc.format.extentxxiii, 164p.
dc.languageEnglish
dc.relationp.151-163
dc.rightsuniversity
dc.titleCertain investigations on hyperspectral image compression using transforms
dc.title.alternative
dc.creator.researcherNagendran R
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordSatellite Communication
dc.subject.keywordHyperspectral Image
dc.subject.keywordElectromagnetic Spectrum
dc.subject.keywordEmbedded Zero Tree Wavelet
dc.subject.keywordSpatial Orientation Tree Wavelet
dc.description.note
dc.contributor.guideVasuki A
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2020
dc.date.awarded2020
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File55.04 kBAdobe PDFView/Open
02_certificates.pdf438.56 kBAdobe PDFView/Open
03_abstracts.pdf12.68 kBAdobe PDFView/Open
04_acknowledgements.pdf867.99 kBAdobe PDFView/Open
05_contents.pdf359.85 kBAdobe PDFView/Open
06_listoftables.pdf11.44 kBAdobe PDFView/Open
07_listoffigures.pdf194.37 kBAdobe PDFView/Open
08_listofabbreviations.pdf130.72 kBAdobe PDFView/Open
09_chapter1.pdf425.61 kBAdobe PDFView/Open
10_chapter2.pdf165.43 kBAdobe PDFView/Open
11_chapter3.pdf494 kBAdobe PDFView/Open
12_chapter4.pdf277.72 kBAdobe PDFView/Open
13_chapter5.pdf343.27 kBAdobe PDFView/Open
14_chapter6.pdf139.15 kBAdobe PDFView/Open
15_conclusion.pdf19.38 kBAdobe PDFView/Open
16_references.pdf173.15 kBAdobe PDFView/Open
17_listofpublications.pdf125.48 kBAdobe PDFView/Open
80_recommendation.pdf139.92 kBAdobe PDFView/Open


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