jiankang1991 / TGRS_DisOptNet
Codes for TGRS paper: DisOptNet: Distilling Semantic Knowledge from Optical Images for Weather-independent Building Segmentation
☆16Updated 6 months ago
Alternatives and similar repositories for TGRS_DisOptNet:
Users that are interested in TGRS_DisOptNet are comparing it to the libraries listed below
- ☆26Updated last year
- ☆28Updated 2 years ago
- ☆29Updated last year
- ☆9Updated 3 months ago
- Code for "Change Detection from Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network", IEEE JSTARS 2022☆28Updated 2 years ago
- Spatio-Temporal SAR-Optical Data Fusion for Cloud Removal via a Deep Hierarchical Model☆17Updated last year
- Unsupervised domain adaptation for global urban extraction using Sentinel-1 SAR and Sentinel-2 MSI data☆26Updated last year
- ☆19Updated 2 years ago
- Here are the codes for the "WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping" paper.☆21Updated last year
- The official implement of 《Overcome the Uncertainty Challenges in Detecting Building Changes from Remote Sensing Images》☆35Updated 4 months ago
- ☆30Updated 3 years ago
- Dual Stream U-Net architecture for urban change detection using Sentinel-1 and Sentinel-2 data fusion.☆62Updated 2 years ago
- A small codebase featuring a few elementary methods for SAR and Optical imagery data fusion☆27Updated 4 years ago
- We build a challenging cloud detection dataset called AIR-CD, with higher spatial resolution and more representative landcover types.☆14Updated 4 years ago
- Pytorch code for paper "CDnetV2: CNN-Based Cloud Detection for Remote Sensing Imagery With Cloud-Snow Coexistence"☆20Updated 4 years ago
- Weakly supervised Deep learning based Cloud Detection (WDCD)☆21Updated 2 years ago
- MSResNet: Multi-Scale Residual Network via Self-Supervised Learning for Water-Body Detection in Remote Sensing Imagery☆25Updated 2 years ago
- ☆39Updated 3 years ago
- The implementations of "Unsupervised Domain Adaptation for Remote Sensing Semantic Segmentation with Transformer"☆29Updated 2 years ago
- Code for the paper Multi Modal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery published …☆28Updated 4 years ago
- The pytorch implemention of EGCTNet for change detection task☆14Updated 2 years ago
- ☆41Updated 2 years ago
- Super-Resolution of sentinel-2 images at 10m resolution with-out supervised images☆9Updated 4 years ago
- A python tool to perform deep learning experiments on multimodal remote sensing data.☆11Updated 3 years ago
- Remote sensing image processing commonly used in deep learning + change detection☆24Updated last year
- The network is to identify the outline of water-bodies accurately from very high resolution (VHR) remote sensing imagery, particularly fo…☆27Updated 2 years ago
- TGRS2021: LGPNet for Building Change Detection☆33Updated 2 years ago
- ☆21Updated 5 months ago
- Supervised, Semi-supervised and Unsupervised Domain Adaptation and Transfer Learning☆14Updated 2 years ago
- OBSUM: An object-based spatial unmixing model for spatiotemporal fusion of remote sensing images☆11Updated last year