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dc.contributor.authorGodbaz, John Peter
dc.contributor.authorCree, Michael J.
dc.contributor.authorDorrington, Adrian A.
dc.coverage.spatialConference held at Burlingame, California, USAen_NZ
dc.date.accessioned2013-06-18T22:56:22Z
dc.date.available2013-06-18T22:56:22Z
dc.date.copyright2012-02-08
dc.date.issued2012
dc.identifier.citationJohn P. Godbaz, Michael J. Cree and Adrian A. Dorrington, “Closed-form inverses for the mixed pixel/multipath interference problem in AMCW lidar”, Computational Imaging X, Charles A. Bouman; Ilya Pollak; Patrick J. Wolfe, Editors, Proc. SPIE Vol 8296, 829618 (2012).en_NZ
dc.identifier.urihttps://hdl.handle.net/10289/7722
dc.description.abstractWe present two new closed-form methods for mixed pixel/multipath interference separation in AMCW lidar systems. The mixed pixel/multipath interference problem arises from the violation of a standard range-imaging assumption that each pixel integrates over only a single, discrete backscattering source. While a numerical inversion method has previously been proposed, no close-form inverses have previously been posited. The first new method models reflectivity as a Cauchy distribution over range and uses four measurements at different modulation frequencies to determine the amplitude, phase and reflectivity distribution of up to two component returns within each pixel. The second new method uses attenuation ratios to determine the amplitude and phase of up to two component returns within each pixel. The methods are tested on both simulated and real data and shown to produce a significant improvement in overall error. While this paper focusses on the AMCW mixed pixel/multipath interference problem, the algorithms contained herein have applicability to the reconstruction of a sparse one dimensional signal from an extremely limited number of discrete samples of its Fourier transform.en_NZ
dc.format.mimetypeapplication/pdf
dc.language.isoenen_NZ
dc.publisherSPIEen_NZ
dc.relation.ispartofComputational Imaging X
dc.relation.urihttp://spie.org/x648.html?product_id=909778en_NZ
dc.rightsCopyright 2012 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.en_NZ
dc.sourceConference on Computational Imaging Xen_NZ
dc.subjectmixed pixelsen_NZ
dc.subjectmultipath interferenceen_NZ
dc.subjectAMCWen_NZ
dc.subjectlidaren_NZ
dc.subjectattenuation ratioen_NZ
dc.subjectrange imagingen_NZ
dc.subjectsystematic erroren_NZ
dc.subjectmultiple return separationen_NZ
dc.titleClosed-form inverses for the mixed pixel/multipath interference problem in AMCW lidaren_NZ
dc.typeConference Contributionen_NZ
dc.identifier.doi10.1117/12.909778en_NZ
dc.relation.isPartOfProc. SPIE 8296. Computational Imaging Xen_NZ
pubs.begin-page1en_NZ
pubs.elements-id22827
pubs.end-page15en_NZ
pubs.finish-date2012-01-26en_NZ
pubs.start-date2012-01-22en_NZ
pubs.volume8296en_NZ


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