MinZHANG-WHU/Change-Detection-Review

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

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Emerging

This project provides a comprehensive overview of how artificial intelligence can be used to detect changes on the Earth's surface. It helps urban planners, environmental monitors, and disaster assessment teams analyze remote sensing images like satellite photos or radar data to identify significant alterations. It takes in various types of remote sensing data and outlines the best AI methods, code examples, and open datasets to pinpoint these changes effectively.

903 stars. No commits in the last 6 months.

Use this if you are a researcher or practitioner in fields like urban planning or environmental monitoring, looking to understand and implement AI-based methods for detecting changes using remote sensing data.

Not ideal if you need a plug-and-play software tool for immediate change detection without delving into the underlying AI methodologies and research.

remote-sensing urban-planning environmental-monitoring disaster-assessment geographic-information-systems
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 25 / 25

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Last pushed

Jul 30, 2021

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