Lists (2)
Starred repositories
AnytimeFormer: Fusing irregular and asynchronous SAR-optical time series to reconstruct reflectance at any given time
Time-series-based Image Fusion (TIF) algorithm is to fuse 30-m Landsat into 10-m Sentinel-2 grids and provide fine-resolution, dense time series with superior accuracy and efficiency.
Code from the paper Generative Networks for Spatio-Temporal Gap Filling of Sentinel-2 Reflectances
Scribble-driven Hybrid Iterative Feature Tracker for Multimodal Remote Sensing Image Change Detection
[RSE 2025] RESTORE-DiT: Reliable satellite image time series reconstruction by multimodal sequential diffusion transformer
Super-Resolution of Multispectral Multiresolution Images from a Single Sensor
Algorithm developed for Continuous Change Detection and Classification (CCDC) of land cover using all available Landsat data.
OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.
Normalisation of Sentinel-2 BRDF for Sentinel Hub
Nadir BRDF Adjusted Reflectance (NBAR) for Sentinel-2 in Python
C code to register Landsat MSS time series to Landsat 8/9 reference images using a many-to-many registration approach
Official implementation of "DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping".
The implementation of Beyond Pixel-level Annotation: Learning to Detect Changes With Image-Level Supervision.
Value propagation-based spatial/spatio-temporal interpolation
Repository for VPint2, including application to Sentinel-2 cloud removal
Code of Spectral-Temporal Low-Rank Regularization with Deep Prior for Thick Cloud Removal
[TGRS 2024] DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images
[ECAI 2023 Oral] PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-Performance Cloud Removal from Multi-temporal Satellite Imagery
Historical documents (in Chinese) about the GPCR (Thanks Comrade RC MR HR etc.)
DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as links to pre-trained checkpoints and the SEN12MS-CR dataset.
Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network