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aia_fcn_crop_classification

Download Satellite Data for AIA group project

airbus-ship-detection

Detect ships in satellite images using U-Net , SegNet & YOLOv5, and from videos with YOLOv5. Versatile maritime surveillance.

bacteria-detection-segnet

Satellite Imagery Analysis for Bacteria Detection in Water Bodies

ee_seagrass_classification

Seagrass Classification in Google Earth Engine

eye-of-the-sky

In this project, SegNet, U-Net etc. are used for semantic segmentation of satellite images. Based on keras and runs on GPU.

iirs-project

Performing Satellite Image Segmentation using SegNet algorithm.

laika-segnet

Experiments with satellite image data

landslide-detection-with-multi-spectral-satellite-imagery-and-image-segmentation

lookingforseagrasssemanticsegmentation

Code for the Paper - "A Closer Look at Seagrass Meadows: Semantic Segmentation for Visual Coverage Estimation"

masterthesis

Deep Convolutional Neural Networks for Semantic Segmentation of Multi-Band Satellite Images

nn_project

Using FCNs to automatically detect traffic levels in satellite imagery

projectseagrass

A CNN regression project that aims to give coverage estimates for seagrass images

remote-sensing_seagrass-deep-learning

Image segmentation of seagrass using deep learning techniques

remote_sensing_satellite_map_segmentation

Using Segnet, SLIC and CRF to classify pixel of light cloud and thick cloud.

satellite-imagery-road-extraction

Developed a Software for semantic segmentation of remote sensing imagery

seagrass

A companion Python module (including Colab notebooks) for the University of Portsmouth seagrass project.

seagrass-geodata360-services

GeoData360 processing services for Project Seagrass

seagrass_classification

Seagrass classification in Ria Formosa using remote sensing data.

seagrass_classification_2

seagrass_classification_3

R Package that classifies seagrass coverage based on Sentinel-2 imagery

seagrass_id

This is a short Python module to detect seagrass on several multispectral images.

skynet-train

Training and test the SegNet neural network on satellite imagery

solar-dfcn

Fully Convolutional Network (FCN) for satellite-imaged rooftop solar array identification

solar-panels-detection

Automatically detect solar panels on satellite imagery.

tf_models

Models and examples built with TensorFlow

u-net-cnn-remote-sensing-seagrass

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.

wales_seagrass_example_code

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.

yuuav_segnet_satellite_segmentation