Synthetic aperture radar (sar) data applications
Éditeur :
Springer International Publishing AG
ISBN :
9783031212246
Date de publication :
19 janv. 2023
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
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.