Computational Intelligence for Remote Sensing Image Change Detection.

Format:

Book

Author/Creator:

Shi, Jiao.

Series:

SpringerBriefs in Computer Science Series

Language:

English

Physical Description:

1 online resource (220 pages)

Edition:

1st ed.

Place of Publication:

Singapore : Springer, 2026.

Summary:

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.

Contents:

SpringerBriefs in Computer Science

Computational Intelligence for Remote Sensing Image Change Detection

Preface

Contents

1. Overview of Remote Sensing Image Change Detection

2. Foundational Theories for Change Detection and Computational Intelligence

3. Deep Neural Networks-Based Remote Sensing Image Change Detection

4. Deep Neural Networks-Based Heterogeneous Remote Sensing Image Change Detection

5. Network Architecture Search-Based Remote Sensing Image Change Detection

6. Concluding Remarks.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9789819214044