There are 1 repository under drone-images topic.
The uasimg R package provides utilities for managing drone imagery, including creating data catalogs and utilities for single-image analysis.
A comprehensive software system leveraging convolutionary neural networks, drones, and IoT for real-time road quality monitoring and alerts. Built using Python, TensorFlow, Django, and Vue.js.
A selection of custom developed python codes for use in various drone imaging applications, such as batch conversion of DNG (RAW) drone images to JPEG or PNG, use of the rawpy library features of demosaicing, gamma factor correction and use of skimage library to demonstrate histogram histogram equalization in colour images to create better contrast and depth. This repository also increases coding developed for use in generating panorama composite images both in JPG and DNG format, a very useful technique in high definition aerial imagery and makes use of the SIFT algorithm in Python's OpenCV image stitcher function. These codes are open for use in educational and demonstration uses and for non-profit organisations.
Deep Learning based Drone Image Segmentation
Research, development and applications of machine learning and deep learning methods for gepespatial analysis, specially aimed to remote sensing imagery
This repository includes Pytorch implementation of semantic segmentation on aerial image of drone dataset.
Geospatial Object Detection using Aerial Images