2021
DOI: 10.3390/rs13081487
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The InflateSAR Campaign: Testing SAR Vessel Detection Systems for Refugee Rubber Inflatables

Abstract: Countless numbers of people lost their lives at Europe’s southern borders in recent years in the attempt to cross to Europe in small rubber inflatables. This work examines satellite-based approaches to build up future systems that can automatically detect those boats. We compare the performance of several automatic vessel detectors using real synthetic aperture radar (SAR) data from X-band and C-band sensors on TerraSAR-X and Sentinel-1. The data was collected in an experimental campaign where an empty boat li… Show more

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Cited by 5 publications
(9 citation statements)
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References 65 publications
(86 reference statements)
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“…[32] used wet sand for Ultra Wide Band (UWB) radar. In our experiment, we expect a stronger intensity signature compared to an empty boat (see [24]).…”
Section: Data Campaign and Data Collectionmentioning
confidence: 59%
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“…[32] used wet sand for Ultra Wide Band (UWB) radar. In our experiment, we expect a stronger intensity signature compared to an empty boat (see [24]).…”
Section: Data Campaign and Data Collectionmentioning
confidence: 59%
“…Those data enabled us to examine the radar pattern of our special maritime vessel under different combinations of scene parameters (e.g., the incidence angle and resolution) and sensor parameters (e.g., the boat orientation) and to evaluate them for their impact on the detectability of the inflatable. We tested and compared a variety of existing automatic vessel detectors [24]. Our results are, we think, noteworthy and legitimate and offer significant insights regarding the behaviour of the inflatable when hit by microwaves and the interactions with the surrounding water surface.…”
Section: Introductionmentioning
confidence: 81%
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“…However, radar images suffer from large intrinsic noise (speckle), in addition to the azimuth displacements ("train-off-the-track effect"), which are caused by the Doppler effect, and the azimuth ambiguity patterns ("ghost"), which are weaker, repetitive artefacts appearing in coastal areas, caused by the presence of brighter objects on the mainland (e.g., [263]). False positive detections can occur in non-homogeneous areas of the images due to changes in ocean backscattering or to oceanographic phenomena, e.g., atmospheric fronts, internal waves, current boundaries, breaking waves, outlying rocks, shoal sea currents, and coastal effects, while high wind and rough sea states can hamper the correct identification of small vessels [255,264].…”
Section: Application 6: Earth Observation For Vessel Detectionmentioning
confidence: 99%
“…Using an active sensor system, SAR images can be taken by day or night and regardless of weather conditions (Fernandez Arguedas et al, 2016). This opens up the possibility of detecting vessel activity that ranges from undeclared and illegal to recreational (Galdelli et al, 2020;Lanz et al, 2021). In contrast to fishing activities that are monitored, at least partly, through catch reports and AIS data, marine leisure activities are still challenging to assess, even more during the Covid-19 crisis while their impact on marine ecosystems and fish stocks is far from being negligible, targeting a large proportion of vulnerable species (Lewin et al, 2019;Hyder et al, 2020;Lloret et al, 2020).…”
Section: Introductionmentioning
confidence: 99%