2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015
DOI: 10.1109/igarss.2015.7326495
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An encounter with pursuit monostatic applications of TanDEM-X mission

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Cited by 4 publications
(4 citation statements)
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“…Prominent examples for the exploitation of the pursuit monostatic formation are the mapping of sea ice drifts [51] or oil spill detection [52]. A general examination can be found in [53].…”
Section: Science Phase 2014-2016mentioning
confidence: 99%
“…Prominent examples for the exploitation of the pursuit monostatic formation are the mapping of sea ice drifts [51] or oil spill detection [52]. A general examination can be found in [53].…”
Section: Science Phase 2014-2016mentioning
confidence: 99%
“…TerraSAR-X and TanDEM-X have been operating in the pursuit monostatic mode only a few time periods, the first one was during the commissioning phase in 2010 and the second was from the end of 2014 until the beginning of 2015 as the first part in the science phase of the TanDEM-X mission. The pursuit monostatic mode [9] requires TerraSAR-X and TanDEM-X to fly in an identical satellite orbit in space and separated few seconds in time. During the commissioning phase this time separation was about 2.5 seconds and in the science phase it was 10 seconds.…”
Section: A Terrasar-x and Tandem-xmentioning
confidence: 99%
“…During time period of October 2014 to February 2015, TerraSAR-X [7] and TanDEM-X [8] have been operating in the monostatic pursuit mode [9]. This operating mode requires TerraSAR-X and TanDEM-X satellites flying with an identical orbit in space and separated few seconds in time.…”
Section: Introductionmentioning
confidence: 99%
“…From October 2014 to February 2015, the German synthetic aperture radar (SAR) satellite formation TanDEM-X [1] was operated in pursuit monostatic (PM) mode, an innovative imaging mode allowing to acquire interferometric SAR data with increased spatial and temporal baselines [2,3]. With an alongtrack distance of 76 km between both satellites (corresponding to a temporal baseline of about 10 s), the temporal decorrelation was expected to remain small for most terrain types -except for water areas, which tend to decorrelate much Preprint submitted to ISPRS Journal of Photogrammetry and Remote SensingJanuary 8, 2019 arXiv:1901.01548v1 [eess.IV] 6 Jan 2019 faster due to the fast-changing wave appearance.…”
Section: Introductionmentioning
confidence: 99%