Forest stand delineation from lidar point-clouds using local maxima of the crown height model and region merging of the corresponding Voronoi cells

被引：23

作者：

Olofsson, Kenneth ^{[1
]}

Holmgren, Johan ^{[1
]}

机构：

[1] Swedish Univ Agr Sci, Dept Forest Resource Management, S-90183 Umea, Sweden

来源：

REMOTE SENSING LETTERS | 2014年 / 5卷 / 03期

关键词：

IMAGE SEGMENTATION; EXTRACTION;

D O I：

10.1080/2150704X.2014.900203

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

In this study, a novel automatic forest stand segmentation method based on Voronoi cells and Airborne Laser Scanner data was developed and validated using a systematic grid of field plots. The automatic method produce results comparable to manual stand delineation.

引用

页码：268 / 276

页数：9

共 3 条

[1] Automatic Merging of Lidar Point-Clouds Using Data from Low-Cost GPS/IMU Systems
Budge, Scott E.
von Neiderhausern, Kurt
LASER RADAR TECHNOLOGY AND APPLICATIONS XVI, 2011, 8037
[2] From Crown Detection to Boundary Segmentation: Advancing Forest Analytics with Enhanced YOLO Model and Airborne LiDAR Point Clouds
Liu, Yanan
Zhang, Ai
Gao, Peng
FORESTS, 2025, 16 (02):
[3] Forest Change Detection by Using Point Clouds From Dense Image Matching Together With a LiDAR-Derived Terrain Model
Ali-Sisto, Daniela
Packalen, Petteri
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 10 (03) : 1197 - 1206

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