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A new method for compression of remote sensing images based on an enhanced differential pulse code modulation transformation

2013Journal article Open access
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dc.contributor.authorGhamisi, Pedram
dc.contributor.authorSepehrband, Farshid
dc.contributor.authorKumar, Lalit
dc.contributor.authorCouceiro, Micael
dc.contributor.authorM. L. Martins, Fernando
dc.date.accessioned2023-09-29T10:40:23Z
dc.date.available2023-09-29T10:40:23Z
dc.date.issued2013
dc.description.abstractRemote sensing sensors generate useful information about climate and the Earth’s surface, and are widely used in resource management, agriculture, and environmental monitoring. Compression of the RS data helps in long-term storage and transmission systems. Lossless compression is preferred for high-detail data, such as from remote sensing. In this paper, a less complex and efficient lossless compression method for images is introduced. It is based on improving the energy compaction ability of prediction models. The proposed method is applied to image processing, RS grey scale images, LiDAR rasterized data, and hyperspectral images. All the results are evaluated and compared with different lossless JPEG and a lossless version of JPEG2000, thus confirming that the proposed lossless compression method leads to a high speed transmission system because of a good compression ratio and simplicity.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.2306/scienceasia1513-1874.2013.39.546pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.26/46877
dc.language.isoengpt_PT
dc.publisher[Science Society of Thailand]pt_PT
dc.subjectremote sensingpt_PT
dc.subjectlossless compressionpt_PT
dc.subjectLiDAR technologypt_PT
dc.subjecthyperspectral imagespt_PT
dc.subjectenhanced DPCM transformpt_PT
dc.titleA new method for compression of remote sensing images based on an enhanced differential pulse code modulation transformationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlace[Bangkok]pt_PT
oaire.citation.endPage555pt_PT
oaire.citation.startPage546pt_PT
oaire.citation.titleScienceAsiapt_PT
oaire.citation.volume39pt_PT
person.familyNameCouceiro
person.familyNameMartins
person.givenNameMicael
person.givenNameFernando Manuel Lourenço
person.identifier0000000070715256
person.identifier.ciencia-id0B14-ED18-23C4
person.identifier.ciencia-id8512-5BB4-6DFD
person.identifier.orcid0000-0001-6641-6090
person.identifier.orcid0000-0002-1812-2300
person.identifier.ridG-4342-2010
person.identifier.ridAAK-6934-2020
person.identifier.scopus-author-id35076901800
person.identifier.scopus-author-id57217191490
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication7a6f0912-3613-4713-a58f-4e64c7ebb293
relation.isAuthorOfPublication805fc13a-0e76-4f11-9d4c-0dc177f8145c
relation.isAuthorOfPublication.latestForDiscovery805fc13a-0e76-4f11-9d4c-0dc177f8145c

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