Synthetic Aperture Radar (SAR) Meets Deep Learning - Couverture rigide

Couverture rigide

ISBN 10 : 3036563822 ISBN 13 : 9783036563824

Editeur : Mdpi AG, 2023

Synopsis

This reprint focuses on the application of the combination of synthetic aperture radars and depth learning technology. It aims to further promote the development of SAR image intelligent interpretation technology.

A synthetic aperture radar (SAR) is an important active microwave imaging sensor, whose all-day and all-weather working capacity give it an important place in the remote sensing community. Since the United States launched the first SAR satellite, SAR has received much attention in the remote sensing community, e.g., in geological exploration, topographic mapping, disaster forecast, and traffic monitoring. It is valuable and meaningful, therefore, to study SAR-based remote sensing applications.

In recent years, deep learning represented by convolution neural networks has promoted significant progress in the computer vision community, e.g., in face recognition, the driverless field and Internet of things (IoT). Deep learning can enable computational models with multiple processing layers to learn data representations with multiple-level abstractions. This can greatly improve the performance of various applications.

This reprint provides a platform for researchers to handle the above significant challenges and present their innovative and cutting-edge research results when applying deep learning to SAR in various manuscript types, e.g., articles, letters, reviews and technical reports.

Détails de l'édition

• Éditeur: Mdpi AG
• Date d'édition: 2023
• Langue: anglais
• ISBN 10: 3036563822
• ISBN 13: 9783036563824
• Reliure: Relié
• Nombre de pages: 386
• Éditeur: Zhang Tianwen, Zeng Tianjiao, Zhang Xiaoling
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Allemagne