ai-spatial / fair-ai-in-spaceLinks
Code for paper: Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-Level Learning Framework. AAAI 2022.
☆13Updated 2 years ago
Alternatives and similar repositories for fair-ai-in-space
Users that are interested in fair-ai-in-space are comparing it to the libraries listed below
Sorting:
- spatiotemporal fusion method☆160Updated 3 years ago
- Official implementation of the paper "Geographic mapping with unsupervised multi-modal representation learning from VHR images and POIs"☆23Updated last year
- GEE based SAR-Optical spatial-temporal partitioning and fusion☆15Updated 2 years ago
- A novel spatiotemporal fusion method: Agri-Fuse☆9Updated last year
- ☆9Updated last month
- ☆47Updated last year
- ☆202Updated 3 years ago
- DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as li…☆155Updated last year
- A deep learning model for surface water mapping based on satellite optical image.☆110Updated 3 years ago
- An Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion☆53Updated 5 years ago
- Paraformer: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels☆112Updated 3 weeks ago
- Open Satellite Image Cloud Detection Resources (Datasets and Tools)☆73Updated last year
- ☆19Updated 2 years ago
- Code for VSDF: A variation-based spatiotemporal data fusion method☆15Updated last year
- A PyTorch implementation of the Geographically Neural Network Weighted Regression (GNNWR)☆133Updated 2 months ago
- ☆89Updated last year
- The software called Fmask (Function of mask) is used for automated clouds, cloud shadows, and snow masking for Landsats 4-8 and Sentinel …☆185Updated 2 months ago
- ☆18Updated last year
- 基于CPU-GPU异构混合编程的遥感数据时空融合程序,包括STDFA,STARFM,CDSTARFM三种模型☆32Updated 5 years ago
- A Flexible Spatiotemporal Fusion Model for Remote Sensing Images With Conditional Generative Adversarial Network☆47Updated 3 years ago
- 西南山区植被对水文气候变化的非线性响应量化研究,包括MODIS、GLDAS、Rs数据的预处理以及CNN-LSTM模型的搭建、训练和特征重要性分析.☆19Updated last year
- It includes the code and test data for assessing the accuracy of fused images☆20Updated 3 years ago
- A game theory approach to measuring spatial effects from machine learning models.☆133Updated 2 weeks ago
- ☆23Updated last year
- Spatiotemporal Weighted Regression☆67Updated last year
- The STARFM fusion model for Python☆142Updated 2 years ago
- Spatial regression graph convolutional neural networks: Spatial regression analysis conducted in the manner of graph convolutional neural…☆55Updated 2 years ago
- ☆25Updated 2 years ago
- This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellit…☆290Updated 3 weeks ago
- remote sensing images fusion,a topic similar to super resolution☆47Updated 5 years ago