debanjanxy / GNR652
Land classififcation using deep learning
☆11Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for GNR652
- Satsense is a Python library for land use/cover classification using satellite imagery☆24Updated 4 years ago
- Deep learning pretrained model on satellite imagery (Sentinel-2)☆78Updated 5 years ago
- A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images☆40Updated last year
- Deep Neural Network with keras(TensorFlow GPU backend) Python: Satellite-Image Classification☆37Updated 6 years ago
- Automatically detect solar panels on satellite imagery.☆16Updated 4 years ago
- This GitHub repository contains the machine learning models described in Edoardo Nemnni, Joseph Bullock, Samir Belabbes, Lars Bromley Ful…☆52Updated last year
- A set of scripits that use the Google Earth Engine pyhton API for the automatic creation of datasets for AI applications.☆18Updated 5 months ago
- ☆55Updated 5 years ago
- ☆51Updated last year
- This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).☆91Updated 3 years ago
- A simple script to create geo-tagged image chips from high-resolution RS images for training deep learning models such as U-net.☆14Updated 3 years ago
- All the files mentioned in the article on Towards Data Science Neural Network for Landsat Classification Using Tensorflow in Python | A s…☆73Updated 4 years ago
- This study investigates the aspect of localizing and counting trees using satellite images to create an inventory of incoming and outgoin…☆73Updated 2 years ago
- Code and models for the manuscript "Predicting Poverty and Developmental Statistics from Satellite Images using Multi-task Deep Learning"☆35Updated 6 years ago
- NGA Deep Learning☆28Updated 3 years ago
- Training and deployment of deep learning models for satellite & aerial imagery☆45Updated 4 months ago
- Land Cover Change Detection using Satellite Image Segmentation.☆48Updated last year
- Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches …☆79Updated last year
- 8th place solution to Zindi's FarmPin Crop Detection Challenge☆137Updated 4 years ago
- ☆67Updated 2 years ago
- Satellite Imagery preprocessing for object detection☆13Updated 6 years ago
- Centroid-UNet is deep neural network model to detect centroids from satellite images.☆30Updated 2 years ago
- This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models we…☆32Updated 2 years ago
- ☆41Updated last year
- Experimenting with convolutional neural networks (CNN) to detect buildings in satellite imagery☆12Updated 6 years ago
- Land Use Classification CNN model using satellite imagery☆14Updated 5 years ago
- Deep learning courses and projects☆97Updated 6 years ago
- Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.☆63Updated 5 years ago
- Practical Project for Semantic Segmentation of Building Footprint from Satellite Images☆19Updated 3 years ago