ViTAE-Transformer/RSP
The official repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining"
This project helps remote sensing professionals accurately interpret aerial and satellite imagery. It takes large datasets of diverse remote sensing images and produces specialized models for tasks like identifying scenes, segmenting areas, detecting objects, and monitoring changes. This is for GIS analysts, urban planners, environmental scientists, and other specialists working with geospatial data.
160 stars. No commits in the last 6 months.
Use this if you need highly accurate, specialized image analysis models for remote sensing data and want to avoid the limitations of models trained only on natural images.
Not ideal if your primary data sources are standard photographs or videos, as this tool is specifically optimized for remote sensing imagery.
Stars
160
Forks
11
Language
Python
License
MIT
Category
Last pushed
Nov 07, 2024
Commits (30d)
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