Akhilesh64/ResUnet-a

Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.

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Emerging

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.

remote-sensing agriculture-mapping land-use-analysis geospatial-analysis precision-agriculture
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 18 / 25

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Stars

41

Forks

13

Language

Python

License

MIT

Last pushed

Aug 01, 2021

Commits (30d)

0

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