Haozhou Wang (王浩舟)
The University of Tokyo
International Field Phenomics Research Laboratory
A graduate student in 3D high-throughput phenotyping of agriculture, deploy skills in UAV 3d reconstruction data analysis and Python programming.
Research Interest (研究方向)
A Python Program to measure tree attributes (Basal Area, DBH, Height, Gap Fraction) from two Ricoh Theta spherical image pair taken at different height.
Unmanned Aerial Vehicles - High Resolution imagery Analysis Platform (UAV-HiRAP), is an open-source, web-based platform which provides service for image classification (maintenance suspended).
The research proposal is "Development of 3D high-throughput close-range remote sensing phenotyping applications for agronomy".
Focus on the area of distorted analyzing forest images taken by fisheye and spherical camera. Participated several university and international oral presentation and competition. The title of Thesis is "Estimating Forest Attributes from Spherical Images"
Developing software for UAV image analysis in sparse Elm grassland. Registor software copyright for Matlab based UAV-HiRAP and Web-based UAV-HiRAP (www.uav-hirap.org) for semi-automatic classify plants and backgrounds. The achievements were extended to a patent, an oral presentation on The 12th International Congress of Ecological, and pulished on top journal "Acta Ecologica Sinica" and "Agricultural and Forest Meteorology", respectively.
During the study period, participated all kinds of activaties during study period, envolved in the College Student Innovation Training Projects and applied two software copyrights. The last year as a transfer student in the University of New Brunsiwick. The titile of dissertation is "Extracting DBH Measurements from RGB Photo Images"