geoai4cities / Mumbai-Semantic-Segmentation-Dataset
Manually Annotated High Resolution Satellite Image Dataset of Mumbai for Semantic Segmentation
☆11Updated last year
Related projects: ⓘ
- This repo is the official implementation of "MFVNet: Deep Adaptive Fusion Network with Multiple Field-of-Views for Remote Sensing Image S…☆14Updated last year
- Using Deep Learning To Identify And Classify Building Damage☆12Updated last month
- ☆15Updated last month
- Land Cover Segmentation with Sparse Annotations from Sentinel-2 Imagery☆16Updated 7 months ago
- The implementations of "Unsupervised Domain Adaptation for Remote Sensing Semantic Segmentation with Transformer"☆30Updated last year
- Here are the codes for the "Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification using Sentinel-1, …☆13Updated 2 years ago
- ☆26Updated last year
- Reference implementation of SegForestNet☆20Updated 6 months ago
- The semantic segmentation of remote sensing images☆15Updated 2 years ago
- Here are the codes for the "WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping" paper.☆16Updated last year
- Yuxuan Li, Danfeng Hong, Chenyu Li, Jing Yao, Jocelyn Chanussot. HD-Net: High-resolution decoupled network for building footprint extrac…☆24Updated 6 months ago
- MSResNet: Multi-Scale Residual Network via Self-Supervised Learning for Water-Body Detection in Remote Sensing Imagery☆19Updated 2 years ago
- The pytorch implementation for "DSNUNet: An Improved Forest Change Detection Network by Combining Sentinel-1 and Sentinel-2 Images".☆10Updated last year
- Image segmentation models for building localization and damage assessment based on satellite imagery from the xBD dataset which was used …☆28Updated 11 months ago
- fine-grained urban green space (UGS) maps of 31 major cities in China☆21Updated last year
- Code and experiments for the paper, "A Change Detection Reality Check", Corley et al.☆42Updated last month
- This is a reporitory for releasing a novel DA method for high-resolution remote sensing image!☆12Updated 2 years ago
- SegEval is a Python library that provides tools for evaluating semantic segmentation models☆11Updated last year
- The network is to identify the outline of water-bodies accurately from very high resolution (VHR) remote sensing imagery, particularly fo…☆24Updated 2 years ago
- Code for paper DNAS: Decoupling Neural Architecture Search for High-Resolution Remote Sensing Image Semantic Segmentation.☆8Updated last year
- ☆24Updated 2 years ago
- ☆30Updated last year
- Dual Stream U-Net architecture for urban change detection using Sentinel-1 and Sentinel-2 data fusion.☆55Updated last year
- using deep semantic segmentation networks for global multi-temporal cropland mapping from remote sensing big data☆11Updated 4 years ago
- 2020 Gaofen Challenge data, baselines, and metrics☆10Updated 3 years ago
- ☆24Updated last year
- ☆23Updated 5 months ago
- Towards Accurate and Reliable Change Detection of Remote Sensing Images via Knowledge Review and Online Uncertainty Estimation (Under Rev…☆14Updated 9 months ago
- Supervised, Semi-supervised and Unsupervised Domain Adaptation and Transfer Learning☆15Updated 2 years ago
- Remote sensing image processing commonly used in deep learning + change detection☆22Updated last year