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Synthetic Aperture Radar (SAR) Data Applications - Springer Optimization and Its Applications 2022 edition
Synthetic Aperture Radar (SAR) Data Applications - Springer Optimization and Its Applications
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.
278 pages, 80 Tables, color; 91 Illustrations, color; 33 Illustrations, black and white; X, 278 p. 1
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 19 de enero de 2023 |
| ISBN13 | 9783031212246 |
| Editores | Springer International Publishing AG |
| Páginas | 278 |
| Dimensiones | 150 × 220 × 20 mm · 600 g |
| Lengua | Alemán |
| Editor | Dipple, Kathleen M. |
| Editor | Fair, Kaitlin L. |
| Editor | Pardalos, Panos M. |
| Editor | Rysz, Maciej |
| Editor | Tsokas, Arsenios |