A graph-based segmentation algorithm for tree crown extraction using airborne LiDAR data-Reference-Cited by-同舟云学术

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A graph-based segmentation algorithm for tree crown extraction using airborne LiDAR data

Published:2015-06 Issue: Volume:104 Page:30-43
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Strîmbu Victor F.,Strîmbu Bogdan M.

Funder

Louisiana Board of Regents

UEFSCDI

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference51 articles.

1. Application of a single-tree identification algorithm to LiDAR data for the simulation of stem volume current annual increment;Bottai;J. Appl. Remote Sens.,2013

2. Detection and analysis of individual leaf-off tree crowns in small footprint, high sampling density lidar data from the eastern deciduous forest in North America;Brandtberg;Remote Sens. Environ.,2003

3. The delineation of tree crowns in Australian mixed species forests using hyperspectral Compact Airborne Spectrographic Imager (CASI) data;Bunting;Remote Sens. Environ.,2006

4. TIDA: an algorithm for the delineation of tree crowns in high spatial resolution remotely sensed imagery;Culvenor;Comput. Geosci.,2002

5. Tree crown detection on multispectral VHR satellite imagery;Daliakopoulos;Photogramm. Eng. Remote Sens.,2009

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1. Semi-supervised multi-class tree crown delineation using aerial multispectral imagery and lidar data;ISPRS Journal of Photogrammetry and Remote Sensing;2024-10

2. Investigation of the Relationship between Topographic and Forest Stand Characteristics Using Aerial Laser Scanning and Field Survey Data;Forests;2024-09-02

3. Full-waveform hyperspectral LiDAR data decomposition via ranking central locations of natural target echoes (Rclonte) at different wavelengths;Remote Sensing of Environment;2024-08

4. A Tree Segmentation Algorithm for Airborne Light Detection and Ranging Data Based on Graph Theory and Clustering;Forests;2024-06-27

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