Akhilesh64/ResUnet-a
Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.
This tool helps geospatial analysts and agricultural researchers automatically identify and delineate individual plot boundaries within satellite or aerial imagery. You provide remote sensing images, and it outputs segmented images highlighting the precise edges of agricultural plots. This is ideal for professionals needing to map land use or analyze crop areas efficiently.
No commits in the last 6 months.
Use this if you need to precisely map and measure agricultural plots from large datasets of remotely sensed images without manual delineation.
Not ideal if you are looking to segment objects other than agricultural plot boundaries or require a solution that doesn't involve running Python scripts.
Stars
41
Forks
13
Language
Python
License
MIT
Category
Last pushed
Aug 01, 2021
Commits (30d)
0
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