2020
DOI: 10.30534/ijeter/2020/103852020
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Tree Extraction of Airborne LiDAR Data Based on Coordinates of Deep Learning Object Detection from Orthophoto over Complex Mangrove Forest

Abstract: Knowing rainforest environments is rendered challenging by distance, vegetation intensity, and coverage; however, knowing the complexity and sustainability of these landscapes is important for ecologists and conservationists. The airborne light detection and ranging (LiDAR) system has made dramatic improvements to forest data collection and management especially on the forest inventory aspect. LiDAR can reliably calculate tree-level characteristics such as crown scale and tree height as well as derived measure… Show more

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Cited by 27 publications
(8 citation statements)
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“…In these days, the 3D graphics systems typically executes the GPU machine instructions, with the programmable graphics pipeline and the compilation results from the shader language supporting features [23,24,25]. The original OpenGL specification provided only the on-line compilation, which means the on-the-y compilation of the source codes at the execution time, on the target system.…”
Section: Discussionmentioning
confidence: 99%
“…In these days, the 3D graphics systems typically executes the GPU machine instructions, with the programmable graphics pipeline and the compilation results from the shader language supporting features [23,24,25]. The original OpenGL specification provided only the on-line compilation, which means the on-the-y compilation of the source codes at the execution time, on the target system.…”
Section: Discussionmentioning
confidence: 99%
“…Recently, the LiDAR-scanning technology is widely applied in various applications. In its technical uses, we should use more efficient and much customized way of handling the point clouds and the derived geometric data [37,38,39]. In this work, we focused on the following technical issues:…”
Section: Discussionmentioning
confidence: 99%
“…One follows the traditional object detection pipeline, generating region proposals at first and then classifying each proposal into different object categories. The other regards object detection as a regression or classification problem, adopting a unified framework to achieve final results (categories and locations) directly [2,3,4].…”
Section: Object Detectionmentioning
confidence: 99%