Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/67107
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorZhao, JW-
dc.creatorWu, JC-
dc.creatorDing, XL-
dc.creatorZhang, L-
dc.creatorHu, FM-
dc.date.accessioned2017-05-22T02:29:30Z-
dc.date.available2017-05-22T02:29:30Z-
dc.identifier.issn1682-1750en_US
dc.identifier.urihttp://hdl.handle.net/10397/67107-
dc.description23rd Congress of the International-Society-for-Photogrammetry-and-Remote-Sensing (ISPRS), Commission VII, 12–19 July 2016, Prague, Czech Republicen_US
dc.language.isoenen_US
dc.publisherCopernicus GmbHen_US
dc.rights© Author(s) 2016. This work is distributed under the Creative Commons Attribution 3.0 License.en_US
dc.rightsThis publication Zhao, J. W., Wu, J. C., Ding, X. L., Zhang, L., and Hu, F. M.: Analysis of multipath pixels in sar images, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., 2016, XLI-B7, 873-877, is available at https://doi.org/10.5194/isprs-archives-XLI-B7-873-2016.en_US
dc.subjectMultipathen_US
dc.subjectSignal Propagationen_US
dc.subjectRaySARen_US
dc.subjectStatistic Indexen_US
dc.subjectCharacteristics Of Radar Signalen_US
dc.subjectAnalysis Of Multipath Pixelsen_US
dc.titleAnalysis of multipath pixels in sar imagesen_US
dc.typeConference Paperen_US
dc.identifier.spage873en_US
dc.identifier.epage877en_US
dc.identifier.volumeXLI-B7en_US
dc.identifier.doi10.5194/isprsarchives-XLI-B7-873-2016en_US
dcterms.abstractAs the received radar signal is the sum of signal contributions overlaid in one single pixel regardless of the travel path, the multipath effect should be seriously tackled as the multiple bounce returns are added to direct scatter echoes which leads to ghost scatters. Most of the existing solution towards the multipath is to recover the signal propagation path. To facilitate the signal propagation simulation process, plenty of aspects such as sensor parameters, the geometry of the objects (shape, location, orientation, mutual position between adjacent buildings) and the physical parameters of the surface (roughness, correlation length, permittivity)which determine the strength of radar signal backscattered to the SAR sensor should be given in previous. However, it's not practical to obtain the highly detailed object model in unfamiliar area by field survey as it's a laborious work and time-consuming. In this paper, SAR imaging simulation based on RaySAR is conducted at first aiming at basic understanding of multipath effects and for further comparison. Besides of the pre-imaging simulation, the product of the after-imaging, which refers to radar images is also taken into consideration. Both Cosmo-SkyMed ascending and descending SAR images of Lupu Bridge in Shanghai are used for the experiment. As a result, the reflectivity map and signal distribution map of different bounce level are simulated and validated by 3D real model. The statistic indexes such as the phase stability, mean amplitude, amplitude dispersion, coherence and mean-sigma ratio in case of layover are analyzed with combination of the RaySAR output.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational archives of the photogrammetry, remote sensing and spatial information sciences, 2016, v. XLI-B7, p. 873-877-
dcterms.isPartOfInternational archives of the photogrammetry, remote sensing and spatial information sciences-
dcterms.issued2016-
dc.identifier.isiWOS:000393155900134-
dc.relation.conferenceInternational Society for Photogrammetry and Remote Sensing. Congress [ISPRS Congress]en_US
dc.identifier.eissn2194-9034en_US
dc.description.validate201812_a bcmaen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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