Abstract:RESUMEDe 1993 a1996, le Centre canadien de teledetection (CCT) a possede et opere un capteur radar a synthese d'ouverture (RSO) aeroporte en bande C (I = 5.656 cm) dote de capacites interferometriques azimutales. Le capteur interferometrique 1nSAR etait equipe d'une antenne a microruban mantee du cOtedroit de l'avion pouvant etre divisee electroniquement en deux sous-antennes avec des centres de phase separes de 0,46 metres, le long de la ligne de vol. En juin 1994, le capteur 1nSAR du CCT a realise des survol… Show more
“…Some more sophisticated methods rely on multichannel information, such as polarimetric detectors 16 or along-track interferometry. 17 These approaches are less affected by inhomogeneities of sea surface, 4 but less straightforward than the CFAR.…”
Commercial satellites for Earth observation can integrate conventional positioning and tracking systems for monitoring legal and illegal activities by sea, in order to effectively detect and prevent events threatening human life and environment. This study describes an object-oriented approach to detect vessels combining high-and medium-resolution optical and radar images. Once detected, the algorithm estimates their position, length, and heading and assigns a speed range. Tests are done using WorldView-2, QuickBird, GeoEye-1, Sentinel-2A, COSMO-SkyMed, and Sentinel-1 data imaged in several test sites including China, Australia, Italy, Hong Kong, and the western Mediterranean Sea. Validation of results with data from the automatic identification system shows that the estimates for length and heading have R 2 ¼ 0.85 and R 2 ¼ 0.92, respectively. Tests for evaluating speed from Sentinel-2 time-lag image displacement show encouraging results, with 70% of estimates' residuals within AE2 m∕s. Finally, our method is compared to the state-of-the-art search for unidentified maritime object (SUMO), provided by the European Commission's Joint Research Centre. Finally, our method is compared to the state-of-the-art SUMO. Tests with Sentinel-1 data show similar results in terms of correct detections. Nevertheless, our method returns a smaller number of false alarms compared to SUMO.
“…Some more sophisticated methods rely on multichannel information, such as polarimetric detectors 16 or along-track interferometry. 17 These approaches are less affected by inhomogeneities of sea surface, 4 but less straightforward than the CFAR.…”
Commercial satellites for Earth observation can integrate conventional positioning and tracking systems for monitoring legal and illegal activities by sea, in order to effectively detect and prevent events threatening human life and environment. This study describes an object-oriented approach to detect vessels combining high-and medium-resolution optical and radar images. Once detected, the algorithm estimates their position, length, and heading and assigns a speed range. Tests are done using WorldView-2, QuickBird, GeoEye-1, Sentinel-2A, COSMO-SkyMed, and Sentinel-1 data imaged in several test sites including China, Australia, Italy, Hong Kong, and the western Mediterranean Sea. Validation of results with data from the automatic identification system shows that the estimates for length and heading have R 2 ¼ 0.85 and R 2 ¼ 0.92, respectively. Tests for evaluating speed from Sentinel-2 time-lag image displacement show encouraging results, with 70% of estimates' residuals within AE2 m∕s. Finally, our method is compared to the state-of-the-art search for unidentified maritime object (SUMO), provided by the European Commission's Joint Research Centre. Finally, our method is compared to the state-of-the-art SUMO. Tests with Sentinel-1 data show similar results in terms of correct detections. Nevertheless, our method returns a smaller number of false alarms compared to SUMO.
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