ucalyptus / Detecting-ShipsLinks
Using Satellite Imagery to detect ships (Basic Object Detection)
☆15Updated 5 years ago
Alternatives and similar repositories for Detecting-Ships
Users that are interested in Detecting-Ships are comparing it to the libraries listed below
Sorting:
- Detect container ships in Planet imagery using machine learning☆36Updated 5 years ago
- ☆58Updated 6 years ago
- Land Cover Change Detection using Satellite Image Segmentation.☆50Updated 8 months ago
- ☆52Updated last year
- 8th place solution to Zindi's FarmPin Crop Detection Challenge☆137Updated 5 years ago
- Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"☆110Updated 2 years ago
- Deep learning courses and projects☆95Updated 7 years ago
- ☆12Updated 10 months ago
- An LSTM to generate a crop mask for Togo☆30Updated 4 years ago
- Automatic mapping of center pivot irrigation systems, planted forests and rural infrastructures☆23Updated 2 years ago
- Starter-pack for the AI4EO Food Security Challenge☆21Updated 2 years ago
- A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images☆40Updated 2 years ago
- Using U-Net Model to Detect Wildfire from Satellite Imagery☆78Updated last year
- The SpaceNet 7 Baseline Algorithm☆34Updated 4 years ago
- Deep learning pretrained model on satellite imagery (Sentinel-2)☆82Updated 6 years ago
- Experiments with satellite image data☆121Updated 5 years ago
- Remote sensing with Python tutorials☆50Updated 5 years ago
- Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.☆66Updated 6 years ago
- This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).☆99Updated 4 years ago
- Satellite image processing pipeline to classify land-cover and land-use☆86Updated 8 years ago
- Deep learning for land cover mapping☆20Updated 4 years ago
- Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020☆67Updated 5 years ago
- All the useful tools I have been using while working in data science for remote sensing☆11Updated 5 years ago
- Using CNNs and Sentinel-2 satellite data to predict landslides☆96Updated 3 years ago
- geemap with streamlit☆19Updated 3 years ago
- LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development…☆60Updated 3 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
- Satsense is a Python library for land use/cover classification using satellite imagery☆24Updated 5 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 4 years ago
- Deep Neural Network with keras(TensorFlow GPU backend) Python: Satellite-Image Classification☆37Updated 7 years ago