دورية أكاديمية

Exploring the Scientific Mechanism of Tree Structure Network based on LiDAR Point Cloud Data

التفاصيل البيبلوغرافية
العنوان: Exploring the Scientific Mechanism of Tree Structure Network based on LiDAR Point Cloud Data
المؤلفون: H. Chen, Y. Lin
المصدر: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-1-2024, Pp 27-33 (2024)
بيانات النشر: Copernicus Publications, 2024.
سنة النشر: 2024
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Applied optics. Photonics
مصطلحات موضوعية: Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
الوصف: To explore how trees optimize their structure, we developed a method based on Pareto optimality theory. This method consists of the following operations. Firstly, we utilize Quantitative Structure Models for Single Trees from Laser Scanner Data (TreeQSM) to extract tree structures from point clouds acquired through Light Detection and Ranging (LiDAR). Subsequently, we utilize a graph-theoretical model to characterize the natural tree structure networks and implement a greedy algorithm to generate Pareto optimal tree structure networks. Finally, based on the Pareto optimality theory, we explore whether tree structures are multi-objective optimized. This paper demonstrates that tree structures lie along the Pareto front between minimizing "transport distance" and minimizing "total length". The growth pattern of trees, which produces multi-objective optimized structures, is likely an intrinsic mechanism in the generation of tree structure networks. The location of tree structures along the Pareto front varies under different environmental conditions, reflecting their diverse survival strategies.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2194-9042
2194-9050
Relation: https://isprs-annals.copernicus.org/articles/X-1-2024/27/2024/isprs-annals-X-1-2024-27-2024.pdf; https://doaj.org/toc/2194-9042; https://doaj.org/toc/2194-9050
DOI: 10.5194/isprs-annals-X-1-2024-27-2024
URL الوصول: https://doaj.org/article/7ef97ed8f9154e18a999a806d9a4c1bc
رقم الأكسشن: edsdoj.7ef97ed8f9154e18a999a806d9a4c1bc
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21949042
21949050
DOI:10.5194/isprs-annals-X-1-2024-27-2024