Scripts to process aerial imagery
-
Updated
Dec 8, 2020 - Jupyter Notebook
Scripts to process aerial imagery
Metashape step-by-step tutorial for creating point clouds, orthomosaic, DEM and meshed model from arial images
Tools for beach volumetric and behavioral dynamics monitoring from multitemporal UAV-SfM datasets.
Vegetation Spectral-Structural Information eXtraction Algorithm (VSSIXA): Working with Point cloud and LiDAR
Scripts and Utilities for Agisoft Metashape
Pixhawk based Sony wifi camera remote using ESP32, with Sony Remote Control API
A quick guide to acquire and process data with an UAV & Structure-from-Motion (SfM)
BaleUAVision: High-resolution UAV dataset for automated hay bale detection and counting. Includes 2,599 annotated images, flight metadata, orthomosaics, segmentation formats (COCO, YOLO, CSV, masks) and YOLOv11 benchmark.
Fine-tuning of the DeepForest model for tree detection in aerial imagery
Palm Oil Tree Detection from Google Earth Satellite Imagery with Detectree2
Tree Species Segmentation in High-Resolution Aerial Imagery
- Tools for automatic UAV-SfM beach volumetric and behavioural analysis -
Add a description, image, and links to the uav-imagery topic page so that developers can more easily learn about it.
To associate your repository with the uav-imagery topic, visit your repo's landing page and select "manage topics."