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Sub-aperture focusing algorithm of geosynchronous SAR

  • School of Electronics and Information Engineering, Harbin Institute of Technology
  • Northeast Forestry University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Synthetic Aperture Radar (SAR) on the geosynchronous orbit has the advantage in remote sensing, with high resolution to provide a large coverage in a short visit time. the space-variant coverage and range-azimuth couple of GEO SAR are required to compensate, using the electrical beam steering, the irregular data acquisition can be convert to classical SAR modes, such as stripmap, spotlight, sliding spotlight, and terrain observation by progressive scans (TOPS) SAR, the dopper analysis of these work modes of SAR have been studied. Based on deramping processing and improved subaperture chirp scaling algorithm, a novel focusing approach is presented in this paper, whose performance is determined by the work mode, data acquisition and the deramping processing. Data of each mode can be focused by utilizing this presented approach with the information of subapterture centroid time and range rotation center. Simulation results are presented to validate the analysis of the proposed approach.

Original languageEnglish
Title of host publicationInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
EditorsJixian Zhang, Yu Zeng, Zhong Lu
PublisherInternational Society for Photogrammetry and Remote Sensing
Pages205-208
Number of pages4
Edition7W1
ISBN (Electronic)9781629934297, 9781629935126, 9781629935201
StatePublished - 2013
Externally publishedYes
Event2013 3rd International Workshop on Image and Data Fusion, IWIDF 2013 - Antu, Jilin, China
Duration: 20 Aug 201322 Aug 2013

Publication series

NameInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Number7W1
Volume40
ISSN (Print)1682-1750

Conference

Conference2013 3rd International Workshop on Image and Data Fusion, IWIDF 2013
Country/TerritoryChina
CityAntu, Jilin
Period20/08/1322/08/13

Keywords

  • Algorithm
  • High resolution
  • Remote sensing
  • Synthetic aperture radar

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