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A Novel Real Time Algorithm for Remote Sensing Lossless Data Compression based on Enhanced DPCM

by P. Ghamisi, A. Mohammadzadeh, M. R. Sahebi, F. Sepehrband, J. Choupan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 27 - Number 1
Year of Publication: 2011
Authors: P. Ghamisi, A. Mohammadzadeh, M. R. Sahebi, F. Sepehrband, J. Choupan
10.5120/3263-4402

P. Ghamisi, A. Mohammadzadeh, M. R. Sahebi, F. Sepehrband, J. Choupan . A Novel Real Time Algorithm for Remote Sensing Lossless Data Compression based on Enhanced DPCM. International Journal of Computer Applications. 27, 1 ( August 2011), 47-53. DOI=10.5120/3263-4402

@article{ 10.5120/3263-4402,
author = { P. Ghamisi, A. Mohammadzadeh, M. R. Sahebi, F. Sepehrband, J. Choupan },
title = { A Novel Real Time Algorithm for Remote Sensing Lossless Data Compression based on Enhanced DPCM },
journal = { International Journal of Computer Applications },
issue_date = { August 2011 },
volume = { 27 },
number = { 1 },
month = { August },
year = { 2011 },
issn = { 0975-8887 },
pages = { 47-53 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume27/number1/3263-4402/ },
doi = { 10.5120/3263-4402 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:12:42.593283+05:30
%A P. Ghamisi
%A A. Mohammadzadeh
%A M. R. Sahebi
%A F. Sepehrband
%A J. Choupan
%T A Novel Real Time Algorithm for Remote Sensing Lossless Data Compression based on Enhanced DPCM
%J International Journal of Computer Applications
%@ 0975-8887
%V 27
%N 1
%P 47-53
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, simplicity of prediction models for image transformation is used to introduce a low complex and efficient lossless compression method for LiDAR rasterized data and RS grayscale images based on improving the energy compaction ability of prediction models. Further, proposed method is applied on some RS images and LiDAR test cases, and the results are evaluated and compared with other compression methods such as lossless JPEG and lossless version of JPEG2000. Results indicate that the proposed lossless compression method causes the high speed transmission system because of good compression ratio and simplicity and suggest to use in real time processing.

References
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  10. Sepehrband, F. and Ghamisi, P. and Mortazavi, M. and Choupan, J., December 2010 “Simple and efficient remote sensing image transformation for lossless compression,” in ICSIP proc., Changsha, China.
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Index Terms

Computer Science
Information Sciences

Keywords

Remote Sensing (RS) Lossless Compression LiDAR Technology Enhanced DPCM Transform

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