SIRILSAM77 / Multiclass-segmentation-using-RESNET-UNET-Oon-Landcovernet-DatasetLinks
Achieved a jaccard index of 0.75 with 100 images.LandCoverNet is a global annual land cover classification training dataset with labels for the multi-spectral satellite imagery from Sentinel-2 mission in 2018. Version 1.0 of the dataset contains data across Africa, which accounts for ~1/5 of the global dataset. Each pixel is identified as one of…
☆11Updated 4 years ago
Alternatives and similar repositories for Multiclass-segmentation-using-RESNET-UNET-Oon-Landcovernet-Dataset
Users that are interested in Multiclass-segmentation-using-RESNET-UNET-Oon-Landcovernet-Dataset are comparing it to the libraries listed below
Sorting:
- Image classification on Sentinel-2 satellite imagery.☆37Updated 2 years ago
- Here is the code developed for the paper "A deep learning framework based on generative adversarial networks and vision transformer for c…☆17Updated 2 years ago
- Land surface classification using remote sensing data with unsupervised machine learning (k-means).☆34Updated 5 years ago
- Slums detection through VHR and MR imagery☆14Updated last year
- Land Cover Change Detection using Satellite Image Segmentation.☆50Updated 6 months ago
- Detected cloud in publically available satellite imagery from Sentinal 2 mission. Team project for the CloudNCloud competition hosted by …☆10Updated 3 years ago
- Code for the paper Multi Modal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery published …☆29Updated 4 years ago
- Winter Wheat Yield Estimation from Multi-temporal Remote Sensing Images Based on Convolutional Neural Networks☆17Updated 5 years ago
- This project aims to perform waterbodies segmentation of Toushka lakes, located in the southern desert of Egypt. The segmentation task is…☆12Updated 9 months ago
- Experimented with a U-Net variant to perform pixel wise multi-class classification to segment high resolution satellite imagery into land…☆25Updated 3 years ago
- ☆13Updated 4 years ago
- Codebase for land cover classification with U-Net☆22Updated 6 years ago
- Dual Stream U-Net architecture for urban change detection using Sentinel-1 and Sentinel-2 data fusion.☆65Updated 2 years ago
- Deep learning for land cover mapping☆20Updated 4 years ago
- Building Extraction / Semantic Segmentation from remote sensing images☆39Updated 2 years ago
- Patch-wise Land Cover Classification using Sentinel-2 Satellite and Deep Learning☆9Updated 2 years ago
- Estimate vegetation height from satellite images using deep learning.☆21Updated 3 years ago
- ☆30Updated 5 years ago
- ☆35Updated 2 years ago
- apply deeplabv3+ into remote sensing field, especially for semantic segmentation.☆14Updated 5 years ago
- Post-hurricane structure damage assessment based on aerial imagery leveraging convolutional neural networks☆15Updated 3 years ago
- Tensorfolw code for" Reconstructing Geostationary Satellite Land Surface Temperature Imagery Based on Multiscale Feature Connected Convol…☆14Updated 5 years ago
- ☆21Updated 2 years ago
- Detecting Burned Areas with Sentinel-2 remote sensing data using Deep Learning☆18Updated 4 years ago
- using deep semantic segmentation networks for global multi-temporal cropland mapping from remote sensing big data☆13Updated 5 years ago
- Centroid-UNet is deep neural network model to detect centroids from satellite images.☆32Updated 3 years ago
- Open-source codes and annotated datasets in CVEO recent work "Object-based Classification Framework of Remote Sensing Images with Graph C…☆41Updated 3 years ago
- This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved f…☆43Updated last year
- yuanqinglie / Building-instance-segmentation-combining-anchor-free-detectors-and-multi-modal-feature-fusion☆9Updated 2 years ago
- ☆17Updated 2 years ago