Starred repositories
[RSE 2026] AnytimeFormer: Fusing irregular and asynchronous SAR-optical time series to reconstruct reflectance at any given time
OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.
This python package extracts subdatasets from OCM-2 HDF file, georeference them and exports them to GeoTIFF. The package also creates a cloud mask layer.
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
VMamba: Visual State Space Models，code is based on mamba
🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).
Natural color representation of Sentinel-2 data
CloudS2Mask is a Sentinel 2 L1C cloud and cloud shadow masking library
A High-Resolution Dataset of Spatiotemporal Fusion for Remote Sensing Images, 2024
Source code for *Weakly Supervised Histopathology Image Segmentation with Sparse Point Annotations*.
[IEEE TIP 2022] Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Paraformer: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels
A development tool for grabbing the dominant color or representative color palette from an image
AROSICS - Automated and Robust Open-Source Image Co-Registration Software
Super-Resolution models implemented in PyTorch Lightning
RS5M: a large-scale vision language dataset for remote sensing [TGRS]
A Repository for Diffusion-Model-related Papers in Low-level Vision
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS@2023 Spotlight, TPAMI@2024)
Semantic-Aware Discriminator for Image Super-Resolution
Pytorch Implementation of BigEarthNet Toolkit