Application of Multi-Sensor Fusion Technology in Target Detection and Recognition
| Application of Multi-Sensor Fusion Technology in Target Detection and Recognition |
| Autore | Heikkonen Jukka |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (168 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
automated image analysis
autonomous autonomous marine navigation autonomous vehicles AUV co-operative convolutional neural network convolutional neural networks deep chlorophyll maximum deep learning EKF inversion ITCOMP-SOM light field machine learning MAREDAT marine environment maritime vessel dataset multi-platform imaging multi-robot multi-sensor fusion multispectral polarimetric imagery object based map object detection ocean colour phytoplankton pigment vertical profile pigments Self Organizing Maps semantic SLAM ship detection spectral library spectral matching specular reflection detection specular reflection inpainting Tara Oceans target detection terrestrial-hyperspectral imagery transparent object USV YOLOv3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557613903321 |
Heikkonen Jukka
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep Learning and Computer Vision in Remote Sensing / / Fahimeh Farahnakian, Jukka Heikkonen, Pouya Jafarzadeh, editors
| Deep Learning and Computer Vision in Remote Sensing / / Fahimeh Farahnakian, Jukka Heikkonen, Pouya Jafarzadeh, editors |
| Pubbl/distr/stampa | Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023 |
| Descrizione fisica | 1 online resource (572 pages) |
| Disciplina | 621.3678 |
| Soggetto topico | Remote sensing |
| ISBN | 3-0365-6369-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910683389903321 |
| Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023 | ||
| Lo trovi qui: Univ. Federico II | ||
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