Synthetic aperture radar image compression using discrete Anamorphic Stretch Transform

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (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 languageEnglish
Title of host publication2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
PublisherIEEE
Pages345 - 349
Number of pages5
ISBN (Print)978-1-4799-7088-9
DOIs
Publication statusPublished - Dec 2014
EventGlobalSIP 2014 - Atlanta, United States
Duration: 2 Dec 20143 Dec 2014

Conference

ConferenceGlobalSIP 2014
CountryUnited States
CityAtlanta
Period2/12/143/12/14

Keywords

  • anamorphic stretch transform
  • big data
  • lossless compression
  • SAR
  • synthetic aperture radar

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