Synthetic aperture radar image compression using discrete Anamorphic Stretch Transform

Mohammad H. Asghari; Carmine Clemente; Bahram Jalali; John J. Soraghan

doi:10.1109/GlobalSIP.2014.7032136

Synthetic aperture radar image compression using discrete Anamorphic Stretch Transform

Mohammad H. Asghari, Carmine Clemente, Bahram Jalali, John J. Soraghan

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

2 Citations (Scopus)

Abstract

Remote Sensing techniques are powerful tools for many civilian and military applications. However, in many cases high spatial, radiometric and temporal resolutions are required, leading to a large amount of data to be transmitted and/or stored. Synthetic Aperture Radar (SAR) is able to produce high resolution coherent images of a scene in any light and weather condition. In this paper we introduce the use of the Discrete Anamorphic Stretch Transform (DAST) to perform near lossless data compression of complex valued SAR image. DAST is applied to actual SAR data demonstrating the effectiveness of the proposed technique.

Original language	English
Title of host publication	2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
Publisher	IEEE
Pages	345 - 349
Number of pages	5
ISBN (Print)	978-1-4799-7088-9
DOIs	https://doi.org/10.1109/GlobalSIP.2014.7032136
Publication status	Published - Dec 2014
Event	GlobalSIP 2014 - Atlanta, United States Duration: 2 Dec 2014 → 3 Dec 2014

Conference

Conference	GlobalSIP 2014
Country/Territory	United States
City	Atlanta
Period	2/12/14 → 3/12/14

Keywords

anamorphic stretch transform
big data
lossless compression
SAR
synthetic aperture radar

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10.1109/GlobalSIP.2014.7032136

Cite this

@inproceedings{4109a5434db343bc8b218ac049768483,

title = "Synthetic aperture radar image compression using discrete Anamorphic Stretch Transform",

abstract = "Remote Sensing techniques are powerful tools for many civilian and military applications. However, in many cases high spatial, radiometric and temporal resolutions are required, leading to a large amount of data to be transmitted and/or stored. Synthetic Aperture Radar (SAR) is able to produce high resolution coherent images of a scene in any light and weather condition. In this paper we introduce the use of the Discrete Anamorphic Stretch Transform (DAST) to perform near lossless data compression of complex valued SAR image. DAST is applied to actual SAR data demonstrating the effectiveness of the proposed technique.",

keywords = "anamorphic stretch transform, big data, lossless compression, SAR, synthetic aperture radar",

author = "Asghari, {Mohammad H.} and Carmine Clemente and Bahram Jalali and Soraghan, {John J.}",

year = "2014",

month = dec,

doi = "10.1109/GlobalSIP.2014.7032136",

language = "English",

isbn = "978-1-4799-7088-9",

pages = "345 -- 349 ",

booktitle = "2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)",

publisher = "IEEE",

note = "GlobalSIP 2014 ; Conference date: 02-12-2014 Through 03-12-2014",

}

TY - GEN

T1 - Synthetic aperture radar image compression using discrete Anamorphic Stretch Transform

AU - Asghari, Mohammad H.

AU - Clemente, Carmine

AU - Jalali, Bahram

AU - Soraghan, John J.

PY - 2014/12

Y1 - 2014/12

N2 - Remote Sensing techniques are powerful tools for many civilian and military applications. However, in many cases high spatial, radiometric and temporal resolutions are required, leading to a large amount of data to be transmitted and/or stored. Synthetic Aperture Radar (SAR) is able to produce high resolution coherent images of a scene in any light and weather condition. In this paper we introduce the use of the Discrete Anamorphic Stretch Transform (DAST) to perform near lossless data compression of complex valued SAR image. DAST is applied to actual SAR data demonstrating the effectiveness of the proposed technique.

AB - Remote Sensing techniques are powerful tools for many civilian and military applications. However, in many cases high spatial, radiometric and temporal resolutions are required, leading to a large amount of data to be transmitted and/or stored. Synthetic Aperture Radar (SAR) is able to produce high resolution coherent images of a scene in any light and weather condition. In this paper we introduce the use of the Discrete Anamorphic Stretch Transform (DAST) to perform near lossless data compression of complex valued SAR image. DAST is applied to actual SAR data demonstrating the effectiveness of the proposed technique.

KW - anamorphic stretch transform

KW - big data

KW - lossless compression

KW - SAR

KW - synthetic aperture radar

U2 - 10.1109/GlobalSIP.2014.7032136

DO - 10.1109/GlobalSIP.2014.7032136

M3 - Conference contribution book

SN - 978-1-4799-7088-9

SP - 345

EP - 349

BT - 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)

PB - IEEE

T2 - GlobalSIP 2014

Y2 - 2 December 2014 through 3 December 2014

ER -

Synthetic aperture radar image compression using discrete Anamorphic Stretch Transform

Abstract

Conference

Keywords

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Cite this