Artificial Intelligence-Based Learning Approaches for Remote Sensing

• Tác giả: Gwanggil Jeon
• Ngôn ngữ: eng
• ISBN-13: 978-3036560830
• ISBN-13: 978-3036560847
• ISBN: books978-3-0365-6084-7
• Thông tin xuất bản: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Mô tả vật lý: 1 electronic resource (382 p.)
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 377424
• Chủ đề: 1. GIS application visualization; 2. pine wilt disease dataset; 3. Environmental science, engineering & technology; 4. History of engineering & technology; 5. Technology: general issues

Tóm tắt

The reprint 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.