debanjanxy / GNR652
Land classififcation using deep learning
☆11Updated 5 years ago
Alternatives and similar repositories for GNR652:
Users that are interested in GNR652 are comparing it to the libraries listed below
- Satellite Imagery preprocessing for object detection☆13Updated 6 years ago
- Deep learning pretrained model on satellite imagery (Sentinel-2)☆80Updated 5 years ago
- A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images☆40Updated last year
- ☆36Updated 3 years ago
- ☆52Updated last year
- Winners of the Open Cities AI Challenge competition☆124Updated last year
- This study investigates the aspect of localizing and counting trees using satellite images to create an inventory of incoming and outgoin…☆77Updated 3 years ago
- 8th place solution to Zindi's FarmPin Crop Detection Challenge☆136Updated 5 years ago
- Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training☆169Updated 2 years ago
- TensorFlow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks" adapted for working with geospatial…☆32Updated 6 years ago
- PyTorch (+Fast.ai) implementation of CloudNet+ for cloud segmentation☆17Updated 5 years ago
- Automatically detect solar panels on satellite imagery.☆16Updated 4 years ago
- ☆12Updated 2 years ago
- Buildings segmentation from satellite imagery and damage classification for each build☆26Updated 6 years ago
- ☆49Updated 3 years ago
- LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development…☆59Updated 3 years ago
- This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).☆96Updated 3 years ago
- ☆11Updated 6 years ago
- Satsense is a Python library for land use/cover classification using satellite imagery☆24Updated 4 years ago
- Convolutional NN for change detection☆23Updated 5 years ago
- This GitHub repository contains the machine learning models described in Edoardo Nemnni, Joseph Bullock, Samir Belabbes, Lars Bromley Ful…☆56Updated last year
- Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020☆66Updated 4 years ago
- ☆57Updated 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 10 months ago
- Code and models for the manuscript "Predicting Poverty and Developmental Statistics from Satellite Images using Multi-task Deep Learning"☆35Updated 6 years ago
- Deep Neural Network with keras(TensorFlow GPU backend) Python: Satellite-Image Classification☆37Updated 6 years ago
- Winners of the Tick Tick Bloom: Harmful Algal Bloom Detection Challenge☆27Updated last year
- Deep Semangtic segmentation of Worldview-3 satellite images using a U-net (DSTL kaggle competition)☆27Updated 5 years ago
- Experiments with satellite image data☆121Updated 5 years ago
- Training and deployment of deep learning models for satellite & aerial imagery☆56Updated 3 weeks ago