Insulator Extraction from UAV LiDAR Point Cloud Based on Multi-Type and Multi-Scale Feature Histogram

This repository contains the official implementation for the paper:
**"Chen, M.; Li, J.; Pan, J.; Ji, C.; Ma, W. Insulator Extraction from UAV LiDAR Point Cloud Based on Multi-Type and Multi-Scale Feature Histogram. Drones 2024, 8, 241."**​

(https://doi.org/10.3390/drones8060241)

📝 Overview

A novel method for automated insulator extraction from UAV LiDAR point clouds using:

• ​5 Feature Histograms: HD/HV/HW/VW/VV
• ​Multi-Scale Adaptive Grids
• ​Tower-Type Specific Processing
• ​2-Stage Workflow: Pylon/PL refinement + Insulator extraction

Achieves 100% object accuracy for suspension towers and 97.3% for tension towers with <2s processing per tower.

🛠 Installation

Requirements

• This work is implemented on MATLAB 2022b

Setup

1. Clone repository:

git clone https://github.com/c175044/Insulator-Segment-Using-Multi-histogram.git
Add the "function" to the work path

run the script "main.m" or App