ChenHongruixuan/ChangeDetectionRepository

This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.

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This repository helps remote sensing professionals identify changes between two images of the same area taken at different times. You provide two multi-temporal satellite or aerial images, and it outputs a map highlighting the regions where changes have occurred. This is useful for scientists, urban planners, environmental monitors, or anyone analyzing land use, disaster impact, or environmental shifts.

521 stars. No commits in the last 6 months.

Use this if you need to precisely locate and map alterations in geographical features or land cover over time using satellite or aerial imagery.

Not ideal if you are looking for a simple, single-click solution without any programming or deep learning knowledge, as this involves Python implementations and research-oriented methods.

remote-sensing land-cover-change environmental-monitoring urban-development disaster-assessment
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 24 / 25

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Stars

521

Forks

108

Language

Python

License

MIT

Last pushed

Nov 08, 2021

Commits (30d)

0

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