NijatZeynalov / Satellite-images-to-real-maps-with-Deep-Learning
In this project, I developed a Pix2Pix generative adversarial network for image-to-image translation. I have used the so-called maps dataset used in the Pix2Pix paper.
☆28Updated 4 years ago
Alternatives and similar repositories for Satellite-images-to-real-maps-with-Deep-Learning
Users that are interested in Satellite-images-to-real-maps-with-Deep-Learning are comparing it to the libraries listed below
Sorting:
- Deep Learning Model For Water/Ice/Land Classification Using Large-Scale Medium Resolution Landsat Satellite Images☆14Updated 5 years ago
- Converting Aerial | Satellite images in RGB to the digital map using GAN (Pix2Pix).☆12Updated 4 years ago
- Road Detection from Remote Sensing Imagery using Deep Learning Techniques☆18Updated 2 years ago
- List of datasets and codes for remote sensing LULC applications.☆44Updated 9 months ago
- Removing cloud cover in Sentinel-2 satellite images using only optical data and a novel augmented training approach using conditional GAN…☆34Updated 3 years ago
- This repository is a complete walkthrough to download the "landcovernet" dataset that contains label masks for Sentinel 2 images from Afr…☆22Updated 4 years ago
- NGA Deep Learning☆27Updated 3 years ago
- Practical Project for Semantic Segmentation of Building Footprint from Satellite Images☆25Updated 3 years ago
- Land Cover Change Detection using Satellite Image Segmentation.☆50Updated 4 months ago
- Upscaling satellite imagery using GAN by 4 times☆16Updated 3 years ago
- Code and models for efficient training on the BigEarthNet dataset for Land Use Land Cover classification☆63Updated 2 years ago
- Build a machine learning model to detect change in Multi-temporal Satellite Images 🌍☆24Updated 5 years ago
- ☆19Updated 4 years ago
- Dual Stream U-Net architecture for urban change detection using Sentinel-1 and Sentinel-2 data fusion.☆62Updated 2 years ago
- Land surface classification using remote sensing data with unsupervised machine learning (k-means).☆34Updated 5 years ago
- Achieved a jaccard index of 0.75 with 100 images.LandCoverNet is a global annual land cover classification training dataset with labels f…☆11Updated 4 years ago
- ☆19Updated 9 months ago
- ☆20Updated 5 months ago
- This repository explores object detection and building extraction from high resolution satellite imagery. With Object Based Image Analysi…☆7Updated 4 years ago
- Sentinel-2 Satellite Images Semantic Segmentation with U-NET☆12Updated 5 months ago
- This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved f…☆43Updated last year
- Codebase for land cover classification with U-Net☆19Updated 6 years ago
- A set of scripits that use the Google Earth Engine pyhton API for the automatic creation of datasets for AI applications.☆20Updated 11 months ago
- Centroid-UNet is deep neural network model to detect centroids from satellite images.☆31Updated 3 years ago
- Buildings segmentation from satellite imagery and damage classification for each build☆26Updated 6 years ago
- Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches …☆90Updated last year
- Satellite cloud removal with Deep Image Prior.☆68Updated 9 months ago
- Road Detection from satellite images using U-Net.☆56Updated last year
- This repo contains codes, scripts, documents, etc, that are deliverables and helpers for the synthetic satellite imagery project from Mic…☆26Updated last year
- Starter-pack for the AI4EO Food Security Challenge☆21Updated last year