NijatZeynalov / Satellite-images-to-real-maps-with-Deep-LearningLinks
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 5 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:
- The presented experiment aims at using Pix2Pix network to segment the building footprint from Satellite Images.☆54Updated 5 years ago
- A PyTorch implementation of U-Net for aerial imagery semantic segmentation.☆84Updated 4 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…☆12Updated 5 years ago
- [GSRL] Dual Stream U-Net architecture for urban change detection using Sentinel-1 and Sentinel-2 data fusion.☆71Updated 2 years ago
- Land Cover Change Detection using Satellite Image Segmentation.☆50Updated 11 months ago
- Training and deployment of deep learning models for satellite & aerial imagery☆65Updated 3 months ago
- We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in dense…☆97Updated 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…☆168Updated last year
- ☆73Updated last year
- List of datasets and codes for remote sensing LULC applications.☆51Updated last year
- This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved f…☆43Updated 2 years ago
- Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches …☆97Updated 2 years ago
- Road Detection from satellite images using U-Net.☆58Updated last year
- ☆31Updated 5 years ago
- Hyperspectral image generator with augmentation for Keras☆43Updated last year
- Centroid-UNet is deep neural network model to detect centroids from satellite images.☆32Updated 3 years ago
- Regularization of Building Boundaries using Adversarial and Regularized losses☆144Updated 2 years ago
- Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed…☆73Updated 3 years ago
- Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.☆263Updated 3 years ago
- Image classification on Sentinel-2 satellite imagery.☆40Updated 2 years ago
- ☆89Updated last year
- This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification)…☆52Updated 3 years ago
- ☆52Updated 2 years ago
- Building Extraction / Semantic Segmentation from remote sensing images☆38Updated 2 years ago
- Practical Project for Semantic Segmentation of Building Footprint from Satellite Images☆27Updated 4 years ago
- A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery☆67Updated last year
- NGA Deep Learning☆28Updated 4 years ago
- Large satellite image semantic segmentation into 6 classes using Tensorflow 2.0 and ISPRS benchmark dataset.☆18Updated 4 years ago
- Satellite cloud removal with Deep Image Prior.☆68Updated last year
- Removing cloud cover in Sentinel-2 satellite images using only optical data and a novel augmented training approach using conditional GAN…☆35Updated 3 years ago