Remote Sensing in Vessel Detection and Navigation

• Autore: Heiselberg Henning
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 online resource (286 p.)
• Soggetto topico: Research & information: general
• Soggetto non controllato: adaptive stochastic resonance (ASR); aircraft; AIS; altitude; automatic radar plotting aid; autonomous navigation; autonomous underwater vehicles (AUVs); bag-of-words mechanism; bathymetric measurements; bathymetry; complex background; computer simulation; convolutional neural network (CNN); cross track error (XTE); edge detection; false alarm; farbon dioxide peaks; feature extraction; flight campaign; formation; FTIR; game theory; GLMB; group targets; HRRP; hydrographic survey; image analysis; image processing; inland waterway; Iridium; jet stream; line enhancer; loss function; machine learning; marine system; maritime situational awareness; matched intrawell response; midwave infrared; motion attitude model; multi-Global Navigation Satellite System (GNSS) receiver; multi-stage rotational detection network (MSRDN); multi-stage rotational region based network (MSR2N); multiscale and small ship detection; multispectral; navigation; neural network; nonlinear filter; on-board; parallax; position estimation; ranging mode; real-time communication; real-time detection; remote sensing; residual structure; river monitoring system; rotated anchor generation; safe objects control; Sentinel-2; ship; ship classification; ship detection; single shore station; six-degrees-of-freedom motion; SSL; straight-line fitting; structure; synthetic aperture radar (SAR); synthetic aperture radar (SAR) ship detection; target recognition; target tracking; temporal offsets; trajectory tracking; unmanned surface vehicle; Unmanned Surface Vessel (USV); velocity; vessel detection; video monitoring; visual saliency
• 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