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Book synopsis

The book focuses on artificial intelligence-based learning approaches and their applications in remote sensing fields. The explosive development of machine learning, deep learning approaches, and its wide applications in signal processing have been witnessed in remote sensing. The new developments in remote sensing have led to a high-resolution monitoring of ground on a global scale, giving a huge amount of ground observation data. Thus, artificial intelligence-based deep learning approaches and its applied signal processing are required for remote sensing. These approaches can be universal or specific tools of artificial intelligence, including well-known neural networks, regression methods, decision trees, etc. It is worth compiling the various cutting-edge techniques and reporting on their promising applications

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Naturwissenschaften allgemein

• Full title: Artificial Intelligence-Based Learning Approaches for Remote Sensing
• Author: Gwanggil Jeon
• Language: English
• Binding: Hardback
• Number of pages: 382
• EAN: 9783036560830
• ISBN: 3036560831
• ID: 42688604
• Publisher: MDPI AG
• Weight: 1156 g
• Dimensions: 250 × 175 × 29 mm
• Date of publishing: 13. December 2022

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