zhaozhen2333/iFLYTEK2021
The Winning Solution to the Cultivated land Extraction From High-Resolution Remote Sensing Image Challenge (1 / 486)
This project helps agricultural researchers and precision agriculture specialists precisely identify cultivated land from high-resolution satellite imagery. It takes large remote sensing images as input and outputs detailed outlines (segmentations) of cultivated areas. This tool is designed for professionals who need to map agricultural land efficiently and accurately for tasks like crop monitoring or land use planning.
156 stars. No commits in the last 6 months.
Use this if you need to accurately extract and delineate cultivated land from high-resolution aerial or satellite images for agricultural analysis.
Not ideal if you need to identify other land features besides cultivated land, or if you're working with low-resolution imagery.
Stars
156
Forks
33
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 14, 2024
Commits (30d)
0
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