A complex SAR image compression algorithm combining set-partitioning and context prediction

Yi Hong Wen; Bo Li; Kai Yang

doi:10.1109/ICCAE.2010.5452023

A complex SAR image compression algorithm combining set-partitioning and context prediction

Yi Hong Wen^*
, Bo Li
, Kai Yang

^*Corresponding author for this work

School of Computer Science and Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a new wavelet transform coding algorithm for complex Synthetic Aperture Radar(SAR) image compression. It uses a improved recursive set-partitioning procedure to compress the large blocks which are abundant in zero bits, and uses entropy coding based on adaptive context prediction model to compress the small blocks which contains non-zero bits. The experiment results showed that the new algorithm gained better compression efficiency than SPECK. We also compared with common complex SAR image compression algorithm in references using professional parameters in SAR, such as Means Phase Errors(MPE), complex spatial correlation efficient, the new algorithm gets better performances too.

Original language	English
Title of host publication	2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010
Pages	173-176
Number of pages	4
DOIs	https://doi.org/10.1109/ICCAE.2010.5452023
State	Published - 2010
Event	2nd International Conference on Computer and Automation Engineering, ICCAE 2010 - Singapore, Singapore Duration: 26 Feb 2010 → 28 Feb 2010

Publication series

Name	2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010
Volume	3

Conference

Conference	2nd International Conference on Computer and Automation Engineering, ICCAE 2010
Country/Territory	Singapore
City	Singapore
Period	26/02/10 → 28/02/10

Keywords

Complex SAR image
Compression
SCP
SPECK

Access to Document

10.1109/ICCAE.2010.5452023

Cite this

Wen, Y. H., Li, B., & Yang, K. (2010). A complex SAR image compression algorithm combining set-partitioning and context prediction. In 2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010 (pp. 173-176). Article 5452023 (2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010; Vol. 3). https://doi.org/10.1109/ICCAE.2010.5452023

@inproceedings{7e76dbb08a5a41ad808e960d74575f6f,

title = "A complex SAR image compression algorithm combining set-partitioning and context prediction",

abstract = "This paper presents a new wavelet transform coding algorithm for complex Synthetic Aperture Radar(SAR) image compression. It uses a improved recursive set-partitioning procedure to compress the large blocks which are abundant in zero bits, and uses entropy coding based on adaptive context prediction model to compress the small blocks which contains non-zero bits. The experiment results showed that the new algorithm gained better compression efficiency than SPECK. We also compared with common complex SAR image compression algorithm in references using professional parameters in SAR, such as Means Phase Errors(MPE), complex spatial correlation efficient, the new algorithm gets better performances too.",

keywords = "Complex SAR image, Compression, SCP, SPECK",

author = "Wen, \{Yi Hong\} and Bo Li and Kai Yang",

year = "2010",

doi = "10.1109/ICCAE.2010.5452023",

language = "英语",

isbn = "9781424455850",

series = "2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010",

pages = "173--176",

booktitle = "2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010",

note = "2nd International Conference on Computer and Automation Engineering, ICCAE 2010 ; Conference date: 26-02-2010 Through 28-02-2010",

}

Wen, YH, Li, B & Yang, K 2010, A complex SAR image compression algorithm combining set-partitioning and context prediction. in 2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010., 5452023, 2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010, vol. 3, pp. 173-176, 2nd International Conference on Computer and Automation Engineering, ICCAE 2010, Singapore, Singapore, 26/02/10. https://doi.org/10.1109/ICCAE.2010.5452023

A complex SAR image compression algorithm combining set-partitioning and context prediction. / Wen, Yi Hong; Li, Bo; Yang, Kai.
2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010. 2010. p. 173-176 5452023 (2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Li, Bo

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N2 - This paper presents a new wavelet transform coding algorithm for complex Synthetic Aperture Radar(SAR) image compression. It uses a improved recursive set-partitioning procedure to compress the large blocks which are abundant in zero bits, and uses entropy coding based on adaptive context prediction model to compress the small blocks which contains non-zero bits. The experiment results showed that the new algorithm gained better compression efficiency than SPECK. We also compared with common complex SAR image compression algorithm in references using professional parameters in SAR, such as Means Phase Errors(MPE), complex spatial correlation efficient, the new algorithm gets better performances too.

AB - This paper presents a new wavelet transform coding algorithm for complex Synthetic Aperture Radar(SAR) image compression. It uses a improved recursive set-partitioning procedure to compress the large blocks which are abundant in zero bits, and uses entropy coding based on adaptive context prediction model to compress the small blocks which contains non-zero bits. The experiment results showed that the new algorithm gained better compression efficiency than SPECK. We also compared with common complex SAR image compression algorithm in references using professional parameters in SAR, such as Means Phase Errors(MPE), complex spatial correlation efficient, the new algorithm gets better performances too.

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KW - Compression

KW - SCP

KW - SPECK

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DO - 10.1109/ICCAE.2010.5452023

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BT - 2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010

T2 - 2nd International Conference on Computer and Automation Engineering, ICCAE 2010

Y2 - 26 February 2010 through 28 February 2010

ER -

A complex SAR image compression algorithm combining set-partitioning and context prediction

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Keywords

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