Bobholamovic/ESCNet
ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very High Resolution Remote Sensing Images
This project helps remote sensing analysts automatically detect changes between two very high-resolution satellite or aerial images of the same area. You input two images taken at different times, and it outputs a map highlighting exactly where changes have occurred. This is ideal for professionals in urban planning, environmental monitoring, or disaster response who need to quickly identify alterations on the ground.
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Use this if you need to precisely identify specific areas of change, like new construction or land cover shifts, from very high-resolution aerial or satellite imagery.
Not ideal if your images are low resolution or if you only need general land classification rather than detailed change detection.
Stars
58
Forks
9
Language
C++
License
MIT
Category
Last pushed
Jul 07, 2021
Commits (30d)
0
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