uav-imagery

Scripts to process aerial imagery

Metashape step-by-step tutorial for creating point clouds, orthomosaic, DEM and meshed model from aerial images

Official code for the UAVid++ paper

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

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.

Pixhawk based Sony wifi camera remote using ESP32, with Sony Remote Control API

Scripts and Utilities for Agisoft Metashape

A quick guide to acquire and process data with an UAV & Structure-from-Motion (SfM)

Fine-tuning of the DeepForest model for tree detection in aerial imagery

PyTorch semantic segmentation of disaster-affected regions from FloodNet aerial imagery

Palm Oil Tree Detection from Google Earth Satellite Imagery with Detectree2

Official PyTorch implementation of OS-SegFormer for object-state factorized post-flood UAV semantic segmentation.

Tree Species Segmentation in High-Resolution Aerial Imagery

Semantic segmentation of post-disaster UAV imagery using a custom Hybrid Attention Transformer (HAT), achieving 77.35% mIoU on RescueNet.

- Tools for automatic UAV-SfM beach volumetric and behavioural analysis -

An end-to-end deep learning pipeline (YOLOv8 + SAHI) for detecting tiny pine cones (strobili) in high-resolution UAV imagery for forestry yield forecasting.

UAV RGB-based crop health assessment and yield estimation system using vegetation indices (ExG, VARI, GLI, RGB-NDVI) and Streamlit.

Two deep learning pipelines: bias correction of NOAA National Water Model streamflow forecasts, and building damage classification from post-hurricane UAV imagery. Team project - CS 4440 Artificial Intelligence..