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Download Satellite Data for AIA group project
Detect ships in satellite images using U-Net , SegNet & YOLOv5, and from videos with YOLOv5. Versatile maritime surveillance.
Satellite Imagery Analysis for Bacteria Detection in Water Bodies
Seagrass Classification in Google Earth Engine
In this project, SegNet, U-Net etc. are used for semantic segmentation of satellite images. Based on keras and runs on GPU.
Performing Satellite Image Segmentation using SegNet algorithm.
Experiments with satellite image data
Code for the Paper - "A Closer Look at Seagrass Meadows: Semantic Segmentation for Visual Coverage Estimation"
Deep Convolutional Neural Networks for Semantic Segmentation of Multi-Band Satellite Images
Using FCNs to automatically detect traffic levels in satellite imagery
A CNN regression project that aims to give coverage estimates for seagrass images
Image segmentation of seagrass using deep learning techniques
Using Segnet, SLIC and CRF to classify pixel of light cloud and thick cloud.
Developed a Software for semantic segmentation of remote sensing imagery
A companion Python module (including Colab notebooks) for the University of Portsmouth seagrass project.
GeoData360 processing services for Project Seagrass
Seagrass classification in Ria Formosa using remote sensing data.
R Package that classifies seagrass coverage based on Sentinel-2 imagery
This is a short Python module to detect seagrass on several multispectral images.
Training and test the SegNet neural network on satellite imagery
Fully Convolutional Network (FCN) for satellite-imaged rooftop solar array identification
Automatically detect solar panels on satellite imagery.
Models and examples built with TensorFlow
A repository for the code and images Dissertation at the University of Gloucestershire involving the mapping of seagrass meadows over several years using ResNet50 CNN.
Code supporting Duffy et al. (2017) Spatial assessment of intertidal seagrass meadows using optical imaging systems and a lightweight drone. Estuarine, Coastal and Shelf Science.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.