Matches in SemOpenAlex for { <https://semopenalex.org/work/W2932179288> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W2932179288 endingPage "5406" @default.
- W2932179288 startingPage "5395" @default.
- W2932179288 abstract "This paper deals with precise absolute geolocation of point targets by means of a pair of high-resolution synthetic aperture radar (SAR) acquisitions, acquired from a satellite. Even though a single SAR image is a 2-D projection of the backscatter, some 3-D information can be extracted from a defocussing analysis, depending on the resolution, thanks to orbital curvature. A second acquisition, observing the same scene under a different look angle, adds stereogrammetric capability and can achieve geolocation accuracy at decimeter level. However, for the stereogrammetric analysis to work, it is necessary to match targets correctly in the two images. This task is particularly difficult if it has to be automatic and targets are dense. Unfortunately, the defocussing-based geolocation is not sufficient for reliable target matching: the limiting factor is the unknown tropospheric delay that can cause geolocation errors of several meters in the elevation direction. However, observing that the tropospheric phase screen displays a low-pass character, this paper shows how to identify statistically the local atmospheric disturbances, therefore dramatically improving the score of successful matching. All steps involved exploit peculiar radar image characteristics and, thanks to this, avoid generic point cloud matching algorithms. The proposed algorithm is shown at work on a pair of TerraSAR-X staring spotlight images." @default.
- W2932179288 created "2019-04-11" @default.
- W2932179288 creator A5047436745 @default.
- W2932179288 creator A5061761420 @default.
- W2932179288 creator A5066461042 @default.
- W2932179288 date "2019-08-01" @default.
- W2932179288 modified "2023-09-23" @default.
- W2932179288 title "Precise and Automatic 3-D Absolute Geolocation of Targets Using Only Two Long-Aperture SAR Acquisitions" @default.
- W2932179288 cites W1631751207 @default.
- W2932179288 cites W1950727688 @default.
- W2932179288 cites W1975634580 @default.
- W2932179288 cites W1979677116 @default.
- W2932179288 cites W1979869589 @default.
- W2932179288 cites W1984737769 @default.
- W2932179288 cites W2009066556 @default.
- W2932179288 cites W2011673809 @default.
- W2932179288 cites W2015012778 @default.
- W2932179288 cites W2015089650 @default.
- W2932179288 cites W2018229786 @default.
- W2932179288 cites W2043957208 @default.
- W2932179288 cites W2046444647 @default.
- W2932179288 cites W2047029664 @default.
- W2932179288 cites W2061577342 @default.
- W2932179288 cites W2065280522 @default.
- W2932179288 cites W2066936380 @default.
- W2932179288 cites W2098852605 @default.
- W2932179288 cites W2110628907 @default.
- W2932179288 cites W2118726166 @default.
- W2932179288 cites W2123920486 @default.
- W2932179288 cites W2124451488 @default.
- W2932179288 cites W2131660035 @default.
- W2932179288 cites W2149369329 @default.
- W2932179288 cites W252525918 @default.
- W2932179288 cites W2624698741 @default.
- W2932179288 cites W4249744610 @default.
- W2932179288 doi "https://doi.org/10.1109/tgrs.2019.2899167" @default.
- W2932179288 hasPublicationYear "2019" @default.
- W2932179288 type Work @default.
- W2932179288 sameAs 2932179288 @default.
- W2932179288 citedByCount "1" @default.
- W2932179288 countsByYear W29321792882022 @default.
- W2932179288 crossrefType "journal-article" @default.
- W2932179288 hasAuthorship W2932179288A5047436745 @default.
- W2932179288 hasAuthorship W2932179288A5061761420 @default.
- W2932179288 hasAuthorship W2932179288A5066461042 @default.
- W2932179288 hasBestOaLocation W29321792881 @default.
- W2932179288 hasConcept C127313418 @default.
- W2932179288 hasConcept C13280743 @default.
- W2932179288 hasConcept C136764020 @default.
- W2932179288 hasConcept C154945302 @default.
- W2932179288 hasConcept C22041718 @default.
- W2932179288 hasConcept C22286887 @default.
- W2932179288 hasConcept C31972630 @default.
- W2932179288 hasConcept C41008148 @default.
- W2932179288 hasConcept C62649853 @default.
- W2932179288 hasConcept C87360688 @default.
- W2932179288 hasConceptScore W2932179288C127313418 @default.
- W2932179288 hasConceptScore W2932179288C13280743 @default.
- W2932179288 hasConceptScore W2932179288C136764020 @default.
- W2932179288 hasConceptScore W2932179288C154945302 @default.
- W2932179288 hasConceptScore W2932179288C22041718 @default.
- W2932179288 hasConceptScore W2932179288C22286887 @default.
- W2932179288 hasConceptScore W2932179288C31972630 @default.
- W2932179288 hasConceptScore W2932179288C41008148 @default.
- W2932179288 hasConceptScore W2932179288C62649853 @default.
- W2932179288 hasConceptScore W2932179288C87360688 @default.
- W2932179288 hasIssue "8" @default.
- W2932179288 hasLocation W29321792881 @default.
- W2932179288 hasLocation W29321792882 @default.
- W2932179288 hasOpenAccess W2932179288 @default.
- W2932179288 hasPrimaryLocation W29321792881 @default.
- W2932179288 hasRelatedWork W2040489891 @default.
- W2932179288 hasRelatedWork W2140197530 @default.
- W2932179288 hasRelatedWork W2148958581 @default.
- W2932179288 hasRelatedWork W2547852773 @default.
- W2932179288 hasRelatedWork W2801063360 @default.
- W2932179288 hasRelatedWork W2910315605 @default.
- W2932179288 hasRelatedWork W2945756030 @default.
- W2932179288 hasRelatedWork W3117044710 @default.
- W2932179288 hasRelatedWork W3131112985 @default.
- W2932179288 hasRelatedWork W3143182746 @default.
- W2932179288 hasVolume "57" @default.
- W2932179288 isParatext "false" @default.
- W2932179288 isRetracted "false" @default.
- W2932179288 magId "2932179288" @default.
- W2932179288 workType "article" @default.