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Remote Sensing in Vessel Detection and Navigation
| Remote Sensing in Vessel Detection and Navigation |
| Autore | Heiselberg Henning |
| Pubbl/distr/stampa | 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 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557112803321 |
Heiselberg Henning
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Unmanned Aerial Vehicles : Platforms, Applications, Security and Services
| Unmanned Aerial Vehicles : Platforms, Applications, Security and Services |
| Autore | Calafate Carlos Tavares |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (174 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
5G
ArduSim ArUco marker autonomous landing BAN logic blind signature computer vision coverage model energy model FANET firefighting communications FPGA horizon human mobility model IoT LoRaWAN MEC Mutual authentication n/a oil well working condition Privacy real-time detection security sense-and-avoid sort topology control Traceable UAS UAV UAVs UAVs/drones positioning undistortion unmanned aerial vehicle (UAV) Unmanned Aerial Vehicles virtual spring forces vision-based YOLOv3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Unmanned Aerial Vehicles |
| Record Nr. | UNINA-9910557698003321 |
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Calafate Carlos Tavares
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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