Search: light detection and ranging (LiDAR) — Academic Articles

A Terrain-Feature-Aware Multiscale PTD for Airborne LiDAR Ground Filtering

Wenyan Ni, Hua Zhang, Jing Xu, Yasong Zhao et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2026)

Airborne light detection and ranging (LiDAR) has become an indispensable tool for earth observation, supporting applications such as digital terrain modeling, environmental monitoring, and geohazard assessment. A fundamental challenge in Li...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2026.3688518

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A Complete System for Automated Semantic–Geometric Mapping of Corrosion in Industrial Environments

Rui Pimentel de Figueiredo, Stefan Nordborg Eriksen, Ignacio Rodriguez, Simon Bøgh • Automation (2025)

Corrosion, a naturally occurring process leading to the deterioration of metallic materials, demands diligent detection for quality control and the preservation of metal-based objects, especially within industrial contexts. Traditional tech...

DOAJ Open Access (DOAJ) DOI: 10.3390/automation6020023

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Remote Sensing of Vegetation Structure Using Computer Vision

Jonathan P. Dandois, Erle C. Ellis • Remote Sensing (2010)

High spatial resolution measurements of vegetation structure in three-dimensions (3D) are essential for accurate estimation of vegetation biomass, carbon accounting, forestry, fire hazard evaluation and other land management and scientific ...

OPENALEX cc-by DOI: https://doi.org/10.3390/rs2041157

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An AI-Based Deep Learning with K-Mean Approach for Enhancing Altitude Estimation Accuracy in Unmanned Aerial Vehicles

Prot Piyakawanich, Pattarapong Phasukkit • Drones (2024)

In the rapidly evolving domain of Unmanned Aerial Vehicles (UAVs), precise altitude estimation remains a significant challenge, particularly for lightweight UAVs. This research presents an innovative approach to enhance altitude estimation ...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones8120718

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Individual-Tree DBH Estimation from Airborne LiDAR Data Using MSFS–XGBoost

Pengfei Li, Yue Jia • Sensors (2026)

Diameter at breast height (DBH) is a fundamental structural parameter for forest inventory and ecological analysis. However, field-based measurements (e.g., diameter tape surveys) are labor-intensive and inefficient for large-scale applicat...

DOAJ Open Access (DOAJ) DOI: 10.3390/s26092873

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Academic Articles & Research Papers

A Terrain-Feature-Aware Multiscale PTD for Airborne LiDAR Ground Filtering

A Complete System for Automated Semantic–Geometric Mapping of Corrosion in Industrial Environments

Remote Sensing of Vegetation Structure Using Computer Vision

An AI-Based Deep Learning with K-Mean Approach for Enhancing Altitude Estimation Accuracy in Unmanned Aerial Vehicles

Individual-Tree DBH Estimation from Airborne LiDAR Data Using MSFS–XGBoost