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Forventes på lager: 19-01-2023
SAR applications employ diverse and often complex computational methods rooted in machine learning, estimation, statistical learning, inversion models, and empirical models. Contemporary deep learning models in object detection and recognition in SAR imagery with corresponding feature extraction and training schemes are considered.
| Forlag | Springer International Publishing AG |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgave | 2022 ed. |
| Udgivelsesdato | 19-01-2023 |
| Første udgivelsesår | 2023 |
| Serie | Springer Optimization and Its Applications |
| Illustrationer | 91 Illustrations, color; 33 Illustrations, black and white |
| Fagredaktør | Maciej Rysz, Arsenios Tsokas, Kathleen M. Dipple, Kaitlin L. Fair, Panos M. Pardalos |
| Originalsprog | Switzerland |
| Sideantal | 278 |
| Indbinding | Hardback |
| Forlag | Springer International Publishing AG |
| Sideoplysninger | 278 pages, 91 Illustrations, color; 33 Illustrations, black and white |
| Mål | 235 x 155 |
| ISBN-13 / EAN-13 | 9783031212246 |