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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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Urban Forests and Landscape Ecology
| Urban Forests and Landscape Ecology |
| Autore | Esperon-Rodriguez Manuel |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (170 p.) |
| Soggetto topico |
Biology, life sciences
Research & information: general |
| Soggetto non controllato |
accumulation on leaves
aesthetics air pollution alleviation attention mechanism biological diversity birds causal effects convolutional neural network crown form deep learning ecological function ecological services ecosystem disservices encapsulated particles foliage form GIS green infrastructure human thermal comfort indicators InVEST model land surface temperature landscape structure Mediterranean region microclimate Moran's I n/a NATURA 2000 area outdoor thermal environment PM2.5 public health remote sensing residual structure Shanghai social media data soundscape spatiotemporal utilization urban biodiversity urban forest urban forest types urban forests urban green space urban habitat quality urban trees Zhengzhou |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580206303321 |
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Esperon-Rodriguez Manuel
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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