Computational Intelligence in Remote Sensing: Volume II

Yue Wu, Kai Qin, Maoguo Gong

ISBN 10: 3725804133 / ISBN 13: 9783725804139

Published by Mdpi AG, 2024

About this Item

Seller Inventory # LU-9783725804139

Bibliographic Details

• Title: Computational Intelligence in Remote Sensing: Volume II
• Publisher: Mdpi AG
• Publication Date: 2024
• Language: English
• ISBN 10: 3725804133
• ISBN 13: 9783725804139
• Binding: Paperback
• Condition: New
• Dimensions: 16.99W x 3.18H x 24.41D centimeters 16.99 centimeters width by 3.18 centimeters height by 24.41 centimeters depth

About this title

Synopsis

With the advancement of Earth observation techniques, vast amounts of high-resolution remote sensing data are continually captured, proving instrumental in fields such as geography, environmental monitoring, disaster management, and more. However, challenges such as data volume, complex structures, limited labeled samples, and non-convex optimization persist in processing and analyzing remote sensing data. Computational intelligence techniques, inspired by biological intelligence systems, offer potential solutions to these challenges. Computational intelligence (CI) is the theory, design, and application of biologically and linguistically motivated computational paradigms. Traditionally centered around neural networks, fuzzy systems, and evolutionary computation, CI has expanded to include various nature-inspired computing paradigms. These paradigms encompass ambient intelligence, artificial life, cultural learning, artificial endocrine networks, social reasoning, and artificial hormone networks. CI plays a vital role in developing intelligent systems, including games and cognitive developmental systems. Recent years have seen a surge in deep learning research, with deep convolutional neural networks becoming a core method in artificial intelligence. Many successful AI systems today are based on CI, and it is anticipated that CI will provide effective solutions to challenges in remote sensing in the future.