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Computational Intelligence for Remote Sensing Image Change Detection

Computational Intelligence for Remote Sensing Image Change Detection

Paperback

Series: Springerbriefs in Computer Science

General Computers

ISBN10: 9819214033
ISBN13: 9789819214037
Publisher: Springer
Published: Jul 18 2026
Pages: 151
Weight: 0.51
Height: 0.34 Width: 6.14 Depth: 9.21
Language: English
Nowadays, remote sensing systems and technologies have been widely studied and applied in environmental monitoring, land survey, and disaster management. As a pivotal remote sensing task, change detection aims to identify and quantify spatio-temporal changes using multi-temporal imagery, supporting timely decision-making and sustainable resource planning. Nevertheless, conventional change detection approaches remain limited in addressing challenges including sensitivity to noise, discrepancies in spatial resolution, sensor misalignment, and the fusion of multi-source heterogeneous data. To address these issues, advanced computational intelligence (CI) techniques, particularly deep learning and evolutionary computation, are being increasingly adopted, offering improved robustness and adaptability for modern change detection tasks.

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General Computers