Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/13972| Title: | Compression of remote sensing data using a lossless variable-length Delta encoding scheme | Authors: | Gopalan, Kaushik Kasparis, Takis |
Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Issue Date: | Jul-2007 | Source: | WMSCI 2007 - The 11th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 13th International Conference on Information Systems Analysis and Synthesis, ISAS 2007 - Proc | Conference: | International Conference on Information Systems Analysis and Synthesis | Abstract: | This paper considers the compression of remote sensing data with a lossless variable-length delta encoding scheme. Remote sensing data typically contains slow changing samples over large sections and hence is suitable for compression using delta encoding. We demonstrate that a simple delta encoding scheme operating on remote sensing data gives compression ratios that are comparable to those given by more complex compression packages. | ISBN: | 978-193427216-9 | Type: | Conference Papers | Affiliation : | University of Central Florida |
| Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
CORE Recommender
Page view(s) 50
279
Last Week
3
3
Last month
23
23
checked on Apr 27, 2024
Google ScholarTM
Check
Altmetric
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.