Share
Synthetic Aperture Radar (Sar) Data Applications
Rysz, Maciej ; Tsokas, Arsenios ; Dipple, Kathleen M. (Author)
·
Springer
· Paperback
Synthetic Aperture Radar (Sar) Data Applications - Rysz, Maciej ; Tsokas, Arsenios ; Dipple, Kathleen M.
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Thursday, July 11 and
Thursday, July 18.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Synthetic Aperture Radar (Sar) Data Applications"
This carefully curated volume presents an in-depth, state-of-the-art discussion on many applications of Synthetic Aperture Radar (SAR). Integrating interdisciplinary sciences, the book features novel ideas, quantitative methods, and research results, promising to advance computational practices and technologies within the academic and industrial communities. SAR applications employ diverse and often complex computational methods rooted in machine learning, estimation, statistical learning, inversion models, and empirical models. Current and emerging applications of SAR data for earth observation, object detection and recognition, change detection, navigation, and interference mitigation are highlighted. Cutting edge methods, with particular emphasis on machine learning, are included. Contemporary deep learning models in object detection and recognition in SAR imagery with corresponding feature extraction and training schemes are considered. State-of-the-art neural network architectures in SAR-aided navigation are compared and discussed further. Advanced empirical and machine learning models in retrieving land and ocean information - wind, wave, soil conditions, among others, are also included.
