A lossless compression algorithm for SAR amplitude imagery based on modified quadtree coding of bit plane

Zhigang Pan; Xin Gao; Xiumin Sun; Hongmei Song

doi:10.1109/LGRS.2010.2046716

A lossless compression algorithm for SAR amplitude imagery based on modified quadtree coding of bit plane

Zhigang Pan, Xin Gao, Xiumin Sun, Hongmei Song

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

A lossless compression algorithm for synthetic aperture radar (SAR) amplitude images based on modified quadtree bit-plane coding is proposed. First, a SAR amplitude image is divided into independent bit planes, and then, the probability of bit 0 is computed and compared with the predefined threshold in order to select the optimal block size for each bit plane. Finally, a modified quadtree coding method is adopted to encode each block data. Additionally, the computing method of predefined threshold is also addressed in this letter. The experimental results show that the proposed method outperforms previous methods for all SAR images of the test sets; an average 0.895-bpp decrease in bit rate was observed when compared with JPEG-LS. © 2006 IEEE.

Original language	English (US)
Pages (from-to)	723-726
Number of pages	4
Journal	IEEE Geoscience and Remote Sensing Letters
Volume	7
Issue number	4
DOIs	https://doi.org/10.1109/LGRS.2010.2046716
State	Published - Oct 1 2010
Externally published	Yes

ASJC Scopus subject areas

Geotechnical Engineering and Engineering Geology
Electrical and Electronic Engineering

Access to Document

10.1109/LGRS.2010.2046716

Cite this

@article{6fdceda7eb2a441a8819ff560dcf5714,

title = "A lossless compression algorithm for SAR amplitude imagery based on modified quadtree coding of bit plane",

abstract = "A lossless compression algorithm for synthetic aperture radar (SAR) amplitude images based on modified quadtree bit-plane coding is proposed. First, a SAR amplitude image is divided into independent bit planes, and then, the probability of bit 0 is computed and compared with the predefined threshold in order to select the optimal block size for each bit plane. Finally, a modified quadtree coding method is adopted to encode each block data. Additionally, the computing method of predefined threshold is also addressed in this letter. The experimental results show that the proposed method outperforms previous methods for all SAR images of the test sets; an average 0.895-bpp decrease in bit rate was observed when compared with JPEG-LS. {\textcopyright} 2006 IEEE.",

author = "Zhigang Pan and Xin Gao and Xiumin Sun and Hongmei Song",

note = "Generated from Scopus record by KAUST IRTS on 2023-09-21",

year = "2010",

month = oct,

day = "1",

doi = "10.1109/LGRS.2010.2046716",

language = "English (US)",

volume = "7",

pages = "723--726",

journal = "IEEE Geoscience and Remote Sensing Letters",

issn = "1545-598X",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "4",

}

TY - JOUR

T1 - A lossless compression algorithm for SAR amplitude imagery based on modified quadtree coding of bit plane

AU - Pan, Zhigang

AU - Gao, Xin

AU - Sun, Xiumin

AU - Song, Hongmei

N1 - Generated from Scopus record by KAUST IRTS on 2023-09-21

PY - 2010/10/1

Y1 - 2010/10/1

N2 - A lossless compression algorithm for synthetic aperture radar (SAR) amplitude images based on modified quadtree bit-plane coding is proposed. First, a SAR amplitude image is divided into independent bit planes, and then, the probability of bit 0 is computed and compared with the predefined threshold in order to select the optimal block size for each bit plane. Finally, a modified quadtree coding method is adopted to encode each block data. Additionally, the computing method of predefined threshold is also addressed in this letter. The experimental results show that the proposed method outperforms previous methods for all SAR images of the test sets; an average 0.895-bpp decrease in bit rate was observed when compared with JPEG-LS. © 2006 IEEE.

AB - A lossless compression algorithm for synthetic aperture radar (SAR) amplitude images based on modified quadtree bit-plane coding is proposed. First, a SAR amplitude image is divided into independent bit planes, and then, the probability of bit 0 is computed and compared with the predefined threshold in order to select the optimal block size for each bit plane. Finally, a modified quadtree coding method is adopted to encode each block data. Additionally, the computing method of predefined threshold is also addressed in this letter. The experimental results show that the proposed method outperforms previous methods for all SAR images of the test sets; an average 0.895-bpp decrease in bit rate was observed when compared with JPEG-LS. © 2006 IEEE.

UR - http://ieeexplore.ieee.org/document/5462846/

UR - http://www.scopus.com/inward/record.url?scp=77958017652&partnerID=8YFLogxK

U2 - 10.1109/LGRS.2010.2046716

DO - 10.1109/LGRS.2010.2046716

M3 - Article

SN - 1545-598X

VL - 7

SP - 723

EP - 726

JO - IEEE Geoscience and Remote Sensing Letters

JF - IEEE Geoscience and Remote Sensing Letters

IS - 4

ER -

A lossless compression algorithm for SAR amplitude imagery based on modified quadtree coding of bit plane

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this