satellite-image-deep-learning / model-training-and-deploymentLinks
Training and deployment of deep learning models for satellite & aerial imagery
☆62Updated 2 months ago
Alternatives and similar repositories for model-training-and-deployment
Users that are interested in model-training-and-deployment are comparing it to the libraries listed below
Sorting:
- ☆73Updated last year
- Python for Raw Sentinel-2 data (PyRawS) is an open-source software providing utilities to open and process Sentinel 2 RAW data, which cor…☆87Updated last year
- This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).☆101Updated 4 years ago
- NGA Deep Learning☆28Updated 4 years ago
- GeoPatch is a package for generating patches from remote sensing data☆54Updated 2 months ago
- A Python package for Remote Sensing Data Analysis☆126Updated 11 months ago
- Land Cover Change Detection using Satellite Image Segmentation.☆50Updated 9 months ago
- Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"☆110Updated 2 years ago
- Mapping glaciers in the Hindu Kush Himalaya, in partnership with ICIMOD.☆42Updated 2 years ago
- This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved f…☆43Updated 2 years ago
- Annotation of datasets for deep learning applied to satellite and aerial imagery☆56Updated 4 months ago
- Automatically create machine learning datasets from satellite images☆42Updated 3 years ago
- Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches …☆94Updated 2 years ago
- Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020☆67Updated 5 years ago
- Examples of Earth observation workflows that extract valuable information from satellite imagery, giving you hints and ideas how to use t…☆49Updated 3 months ago
- ☆58Updated last year
- Enhancement of MODIS NIDVI to 10m resolution using U-Net☆30Updated 2 years ago
- Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.☆161Updated 2 years ago
- A toolkit that enables building damage assessments from remotely sensed imagery.☆135Updated 6 months ago
- All the files mentioned in the article on Towards Data Science Neural Network for Landsat Classification Using Tensorflow in Python | A s…☆72Updated 5 years ago
- Satellite cloud removal with Deep Image Prior.☆68Updated last year
- A set of scripits that use the Google Earth Engine pyhton API for the automatic creation of datasets for AI applications.☆20Updated last year
- End-to-end workflow for generating high resolution cropland maps☆109Updated last month
- A community-driven effort to make examples, user-defined processes and code snippets available in a single place.☆51Updated this week
- 🌴 A dataset for estimating tropical forest biomass based on drone and field data☆80Updated 3 years ago
- Using CNNs and Sentinel-2 satellite data to predict landslides☆96Updated 4 years ago
- Winners of the STAC Overflow: Map Floodwater from Radar Imagery competition☆52Updated 2 years ago
- An LSTM to generate a crop mask for Togo☆30Updated 4 years ago
- ☆205Updated 4 years ago
- Image segmentations of trees outside forest☆169Updated 9 months ago