Framework for aerial imagery localization using different VPR systems
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Updated
Jun 4, 2024 - Python
Framework for aerial imagery localization using different VPR systems
Officiel implementation of the paper " FlightScope: A Deep Comprehensive Assessment of Aircraft Detection Algorithms in Satellite Imagery "
Quick start guide for benchmarking MagicBathyNet dataset in learning-based bathymetry and pixel-based classification using Remote Sensing imagery.
A novel deep learning solution for the automatic roofing material classification of the Dutch building stock using aerial imagery and laser scanning data fusion.
NZ Aerial imagery freely available to use under an open licence
Three workflows based on aerial imagery or LiDAR point clouds to evaluate the surface available on rooftops by detecting objects.
Open source simulator for autonomous robotics built on Unreal Engine with support for Unity
A collection of some awesome public object detection and recognition datasets.
AI models for aerial image analysis. Generating traning data, training models, testing models and validating them.
Convenient ways of downloading, tiling and finally converting aerial imagery of Berlin
An Efficient Planner for Fast Aerial Coverage (ICRA 2024 Best UAV Paper Award Finalist)
TeleSculptor: Aerial Photogrammetry Application powered by KWIVER
The goal of this project is to classify the roads of Switzerland based on the type of their surface, artificial or natural.
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
This collection of MATLAB® functions is for working with Airborne Topographic Mapper (ATM) laser altimetry data products in HDF5 waveform format.
OrthoSeg makes it easy to train neural networks to segment orthophotos.
Python coding that takes images acquired using a Near-Infrared (NIR) converted camera and generates a modified Normalized Differential Vegetation Index (NDVI). Contains standalone with colorbar legend and batch versions. ENDVI and SAVI Indexes also available and with greyscale options.
Tools to extract cooling tower locations from aerial imagery
Development of an autonomous, task-distributed drone network based on ROS to improve the characterization of isolated, remote targets in a time and resource efficient manner.
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