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Title: A new method for compression of remote sensing images based on an enhanced differential pulse code modulation transformation
Contributor(s): Ghamisi, Pedram (author); Sepehrband, Farshid (author); Kumar, Lalit  (author)orcid ; Couceiro, Micael S (author); Martins, Fernando M L (author)
Publication Date: 2013
Open Access: Yes
DOI: 10.2306/scienceasia1513-1874.2013.39.546Open Access Link
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Abstract: Remote 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.
Publication Type: Journal Article
Source of Publication: ScienceAsia, 39(5), p. 546-555
Publisher: Science Society of Thailand under the Patronage of His Majesty the King
Place of Publication: Thailand
ISSN: 1513-1874
Field of Research (FOR): 090905 Photogrammetry and Remote Sensing
090903 Geospatial Information Systems
Socio-Economic Outcome Codes: 960501 Ecosystem Assessment and Management at Regional or Larger Scales
960906 Forest and Woodlands Land Management
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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