DocumentCode
721093
Title
Remote Sensing Image Compression: A Review
Author
Shichao Zhou ; Chenwei Deng ; Baojun Zhao ; Yatong Xia ; Qisheng Li ; Zhenzhong Chen
Author_Institution
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
fYear
2015
fDate
20-22 April 2015
Firstpage
406
Lastpage
410
Abstract
With the increasing spatial and temporal resolutions of acquired remote sensing (RS) images, effective image compression is becoming more and more important. RS image compression technologies have been extensively studied in the past a few decades, and various algorithms have been developed accordingly. In this paper, we provide an overview of practically deployed RS image compression approaches, including predictive coding and transform coding approaches that have been adopted in different satellite systems. In addition, some newly derived RS image compression methods are discussed, with highlights on the new trends of the on-going design and developments of RS image compression.
Keywords
data compression; image coding; remote sensing; transform coding; predictive coding; remote sensing image compression; satellite systems; spatial resolutions; temporal resolutions; transform coding; Discrete cosine transforms; Discrete wavelet transforms; Image coding; Remote sensing; Satellites; Standards; Transform coding; Remote sensing; compressed sensing; image compression; predictive coding; task-driven coding; transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Big Data (BigMM), 2015 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-8687-3
Type
conf
DOI
10.1109/BigMM.2015.16
Filename
7153923
Link To Document