Cargando…

Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms

The rapid development of light detection and ranging (Lidar) provides a promising way to obtain three-dimensional (3D) phenotype traits with its high ability of recording accurate 3D laser points. Recently, Lidar has been widely used to obtain phenotype data in the greenhouse and field with along ot...

Descripción completa

Detalles Bibliográficos
Autores principales:	Jin, Shichao, Su, Yanjun, Gao, Shang, Wu, Fangfang, Hu, Tianyu, Liu, Jin, Li, Wenkai, Wang, Dingchang, Chen, Shaojiang, Jiang, Yuanxi, Pang, Shuxin, Guo, Qinghua
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2018
Materias:	Plant Science
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024748/ https://www.ncbi.nlm.nih.gov/pubmed/29988466 http://dx.doi.org/10.3389/fpls.2018.00866

Ejemplares similares

Evaluating maize phenotype dynamics under drought stress using terrestrial lidar
por: Su, Yanjun, et al.
Publicado: (2019)

Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level
por: Jin, Shichao, et al.
Publicado: (2020)

Exploring Seasonal and Circadian Rhythms in Structural Traits of Field Maize from LiDAR Time Series
por: Jin, Shichao, et al.
Publicado: (2021)

Faster R-CNN for Robust Pedestrian Detection Using Semantic Segmentation Network
por: Liu, Tianrui, et al.
Publicado: (2018)

Detection of Micro-Defects on Irregular Reflective Surfaces Based on Improved Faster R-CNN
por: Zhou, Zhuangzhuang, et al.
Publicado: (2019)

Crack Detection and Comparison Study Based on Faster R-CNN and Mask R-CNN
por: Xu, Xiangyang, et al.
Publicado: (2022)

An Algorithm for Fitting Sphere Target of Terrestrial LiDAR
por: Shi, Yintao, et al.
Publicado: (2021)

Estimating Tropical Forest Structure Using a Terrestrial Lidar
por: Palace, Michael, et al.
Publicado: (2016)

Leaf Movements of Indoor Plants Monitored by Terrestrial LiDAR
por: Herrero-Huerta, Mónica, et al.
Publicado: (2018)

An OpenCL-Based FPGA Accelerator for Faster R-CNN
por: An, Jianjing, et al.
Publicado: (2022)

Detection and classification of COVID-19 by using faster R-CNN and mask R-CNN on CT images
por: Sahin, M. Emin, et al.
Publicado: (2023)

Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR
por: Brede, Benjamin, et al.
Publicado: (2017)

Dual-Coupled CNN-GCN-Based Classification for Hyperspectral and LiDAR Data
por: Wang, Lei, et al.
Publicado: (2022)

Use of a Terrestrial LIDAR Sensor for Drift Detection in Vineyard Spraying
por: Gil, Emilio, et al.
Publicado: (2013)

Improvements to and Comparison of Static Terrestrial LiDAR Self-Calibration Methods
por: Chow, Jacky C. K., et al.
Publicado: (2013)

Discriminating Crop, Weeds and Soil Surface with a Terrestrial LIDAR Sensor
por: Andújar, Dionisio, et al.
Publicado: (2013)

Radiometric Calibration of a Dual-Wavelength, Full-Waveform Terrestrial Lidar
por: Li, Zhan, et al.
Publicado: (2016)

Bounding uncertainty in volumetric geometric models for terrestrial lidar observations of ecosystems
por: Paynter, Ian, et al.
Publicado: (2018)

Pneumonia Detection Using an Improved Algorithm Based on Faster R-CNN
por: Yao, Shangjie, et al.
Publicado: (2021)

An automatic method for counting wheat tiller number in the field with terrestrial LiDAR
por: Fang, Yuan, et al.
Publicado: (2020)

Improved Faster R-CNN Based Surface Defect Detection Algorithm for Plates
por: Xia, Baizhan, et al.
Publicado: (2022)

Design of Faster R-CNN-Based Fault Detection Method for Subway Vehicles
por: Ma, Hanlin, et al.
Publicado: (2022)

Wafer Surface Defect Detection Based on Background Subtraction and Faster R-CNN
por: Zheng, Jiebing, et al.
Publicado: (2023)

An Innovative Faster R-CNN-Based Framework for Breast Cancer Detection in MRI
por: Raimundo, João Nuno Centeno, et al.
Publicado: (2023)

Application of a Terrestrial LIDAR System for Elevation Mapping in Terra Nova Bay, Antarctica
por: Cho, Hyoungsig, et al.
Publicado: (2015)

Comparison of two novel methods for counting wheat ears in the field with terrestrial LiDAR
por: Gu, Yangyang, et al.
Publicado: (2023)

Engineering Vehicles Detection Based on Modified Faster R-CNN for Power Grid Surveillance
por: Xiang, Xuezhi, et al.
Publicado: (2018)

Real-Time Water Surface Object Detection Based on Improved Faster R-CNN
por: Zhang, Lili, et al.
Publicado: (2019)

Improved Faster R-CNN for the Detection Method of Industrial Control Logic Graph Recognition
por: Wu, Shilin, et al.
Publicado: (2022)

Traffic sign classification using CNN and detection using faster-RCNN and YOLOV4
por: Youssouf, Njayou
Publicado: (2022)

Retracted: Design of Faster R-CNN-Based Fault Detection Method for Subway Vehicles
por: Methods in Medicine, Computational and Mathematical
Publicado: (2023)

Single nucleus sequencing reveals spermatid chromosome fragmentation as a possible cause of maize haploid induction
por: Li, Xiang, et al.
Publicado: (2017)

Automated liver tumor detection in abdominal ultrasonography with a modified faster region-based convolutional neural networks (Faster R-CNN) architecture
por: Karako, Kenji, et al.
Publicado: (2022)

Ultra-Short-Term Wind Power Forecasting Based on CGAN-CNN-LSTM Model Supported by Lidar
por: Zhang, Jinhua, et al.
Publicado: (2023)

Hyperspectral imaging combined with CNN for maize variety identification
por: Zhang, Fu, et al.
Publicado: (2023)

New insights into large tropical tree mass and structure from direct harvest and terrestrial lidar
por: Burt, Andrew, et al.
Publicado: (2021)

Object Detection Based on Faster R-CNN Algorithm with Skip Pooling and Fusion of Contextual Information
por: Xiao, Yi, et al.
Publicado: (2020)

RGDiNet: Efficient Onboard Object Detection with Faster R-CNN for Air-to-Ground Surveillance
por: Kim, Jongwon, et al.
Publicado: (2021)

Region of interest-based predictive algorithm for subretinal hemorrhage detection using faster R-CNN
por: Suchetha, M., et al.
Publicado: (2021)

Mask Detection and Social Distance Identification Using Internet of Things and Faster R-CNN Algorithm
por: Meivel, S., et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_uuit1ov0qbcj3rj847hvinlecp