1 Key Laboratory of Agricultural Information Technology, Ministry of Agriculture, Beijing, 100081, China; 2 College of Information and Electrical Engineering, China Agricultural University, Beijing 100083 Abstract: The estimation of tree height is advanced following the development of LiDAR technique. The estimation model of tree height considering suppressed trees is developed in order to extr...

3D Convolutional Neural Networks (CNNs) have been widely adopted for airway segmentation. The performance of CNNs is greatly influenced by the dataset while public datasets are mainly clean CT scans with coarse annotation, thus difficult to be generalized noisy (e.g. COVID-19 scans). In this work, we proposed a new dual-stream network address variability between domain and domain, which utilize...

Individual tree crowns may be delineated from airborne laser scanning (ALS) data by segmentation of surface models or by 3D analysis. Segmentation of surface models benefits from using a priori knowledge about the proportions of tree crowns, which has not yet been utilized for 3D analysis to any great extent. In this study, an existing surface segmentation method was used as a basis for a new t...

Estimating the quality of standing trees or roundwood after felling is a crucial step in forest production trading. The on-going revolution sector resulting from use 3D sensors can also contribute to this step. Among them terrestrial lidar scanning reference descriptive method offering possibility segment defects. In paper, we propose new reproducible allowing automatically It based on construc...

The purpose of this study was to investigate the accuracy airway volume measurement by a Regression Neural Network-based deep-learning model. A set manually outlined data build algorithm for fully automatic segmentation deep learning process. Manual landmarks were determined one examiner using mid-sagittal plane cone-beam computed tomography (CBCT) images 315 patients. Clinical dataset-based tr...

Individual tree crown segmentation from Airborne Laser Scanning data is a nodal problem in forest remote sensing. Focusing on single layered spruce and fir dominated coniferous forests, this article addresses the problem of directly estimating 3D segment shape uncertainty (i.e., without field/reference surveys), using a probabilistic approach. First, a coarse segmentation (marker controlled wat...

We develop a lung ventilation model based on a continuum poroelastic representation of lung parenchyma that is strongly coupled to a pipe network representation of the airway tree. The continuous system of equations is discretized using a low-order stabilised finite element method. The framework is applied to a realistic lung anatomical model derived from computed tomography data and an artific...