Remote Sensing in Vessel Detection and Navigation

• Autore: Heiselberg Henning
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 electronic resource (286 p.)
• Soggetto topico: Research & information: general
• Soggetto non controllato: autonomous navigation; automatic radar plotting aid; safe objects control; game theory; computer simulation; Sentinel-2; multispectral; temporal offsets; ship; aircraft; velocity; altitude; parallax; jet stream; Unmanned Surface Vessel (USV); multi-Global Navigation Satellite System (GNSS) receiver; bathymetric measurements; cross track error (XTE); SSL; six-degrees-of-freedom motion; motion attitude model; edge detection; straight-line fitting; visual saliency; vessel detection; video monitoring; inland waterway; real-time detection; neural network; target recognition; HRRP; residual structure; loss function; trajectory tracking; unmanned surface vehicle; navigation; bathymetry; hydrographic survey; real-time communication; maritime situational awareness; ship detection; Iridium; on-board; image processing; flight campaign; position estimation; ranging mode; single shore station; AIS; bag-of-words mechanism; machine learning; image analysis; ship classification; marine system; river monitoring system; feature extraction; synthetic aperture radar (SAR) ship detection; multi-stage rotational region based network (MSR2N); rotated anchor generation; multi-stage rotational detection network (MSRDN); convolutional neural network (CNN); synthetic aperture radar (SAR); multiscale and small ship detection; complex background; false alarm; farbon dioxide peaks; midwave infrared; FTIR; adaptive stochastic resonance (ASR); matched intrawell response; nonlinear filter; line enhancer; autonomous underwater vehicles (AUVs); target tracking; group targets; GLMB; structure; formation; remote sensing
• Persona (resp. second.): StatecznyAndrzej; HeiselbergHenning
• Sommario/riassunto: The Special Issue entitled “Remote Sensing in Vessel Detection and Navigation” comprises 15 articles on many topics related to remote sensing with navigational sensors. The sequence of articles included in this Special Issue is in line with the latest scientific trends. The latest developments in science, including artificial intelligence, were used. It can be said that navigation and vessel detection remain important and hot topics, and a lot of work will continue to be done worldwide. New techniques and methods for analyzing and extracting information from navigational sensors and data have been proposed and verified. Some of these will spark further research, and some are already mature and can be considered for industrial implementation and development.
• Titolo autorizzato: Remote Sensing in Vessel Detection and Navigation
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557112803321
• Lo trovi qui: Univ. Federico II