[Review of change detection methods using multi-temporal remotely sensed images]

Area of Science:

• Earth and Planetary Sciences
• Remote Sensing Technology
• Geographic Information Systems

Context:

• Advancements in remote sensing platforms and sensors enable continuous Earth observation.
• Accumulation of multi-source, multi-scale, and multi-resolution remote sensing data.
• Detailed recording of ground object changes facilitates long-term global change research.

Purpose:

• To review current progress in change detection methods using multi-temporal remotely sensed imagery.
• To classify and summarize existing methods based on input data characteristics.
• To analyze challenges and discuss future trends in multi-temporal change detection.

Summary:

• Methods are categorized into single-phase post-classification comparison, two-phase comparison, and time series analysis.
• The review systematically summarizes research progress and identifies key methodologies.
• Analysis of current limitations and future research directions in the field.

Impact:

• Facilitates a deeper understanding of Earth's dynamic processes through remote sensing data analysis.
• Advances image processing techniques for environmental monitoring and global change studies.
• Provides a foundational summary for researchers and practitioners in remote sensing change detection.