Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/53098
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dc.titlePrecision focusing algorithms for spaceborne Synthetic Aperture Radar (SAR)
dc.contributor.authorHeng, A.W.-C.
dc.contributor.authorLim, H.
dc.contributor.authorLiew, S.C.
dc.contributor.authorTan, B.T.G.
dc.date.accessioned2014-05-19T02:54:11Z
dc.date.available2014-05-19T02:54:11Z
dc.date.issued1996
dc.identifier.citationHeng, A.W.-C.,Lim, H.,Liew, S.C.,Tan, B.T.G. (1996). Precision focusing algorithms for spaceborne Synthetic Aperture Radar (SAR). International Journal of Remote Sensing 17 (3) : 629-635. ScholarBank@NUS Repository.
dc.identifier.issn01431161
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/53098
dc.description.abstractThe two-dimensional transfer function is derived from the Synthetic Aperture Radar (SAR) imaging model. Using this expression, the approximations made in the classical range-Doppler and recent chirp-scaling algorithms are examined. An alternative algorithm to the chirp-scaling algorithm is presented. Unlike the chirp-scaling algorithm, this algorithm does not require the transmitted signal to be a linear FM signal and can be easily incorporated into processors using the range-Doppler algorithm. The processing starts with range compressed data rather than from the raw SAR data. Results from processing simulated point targets and the Seasat Goldstone area data show comparable image quality.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCOMPUTATIONAL SCIENCE
dc.contributor.departmentPHYSICS
dc.contributor.departmentCTR FOR REM IMAGING,SENSING & PROCESSING
dc.description.sourcetitleInternational Journal of Remote Sensing
dc.description.volume17
dc.description.issue3
dc.description.page629-635
dc.description.codenIJSED
dc.identifier.isiutNOT_IN_WOS
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