WHU won three grand awards at the annual conference of the American Society of Photogrammetry and Remote Sensing (ASPRS) held from 23rd to the 28th of March. The prizes include the only Boeing Award for Best Thesis in Image Analysis and Interpretation.
“Laser Point Clouds and Images Precision Analysis”, the winning thesis for the Boeing Award for Best Thesis in Image Analysis and Interpretation, was jointly completed by Professor Shunyi Zhen, from the School of Remote Sensing and Information Engineering, and his doctoral students Rongyong Huang and Yang Zhou. It ingeniously presents a brilliant method for the geometric registration of laser point clouds and images composition. Experiments conducted by the team have proven that this method can effectively overcome the gross error and achieve registration of sub pixel precision, which is of significant relevance for the high-precision reconstruction of cultural relics.
The thesis “Line Feature Registration of Affine Invariant High-Definition Remote Sensing Images” won the Talbert Abrams Award. It was written by Min Chen, a doctoral student from the State Key Laboratory for Remote Sensing and Information Engineering, and supervised by Professor Deren Li and Professor Zhenfeng Shao. It puts forward the method of “Line Feature Matching” to solve the problem of large weak texture regions which is likely to appear in high-definition remote sensing images. “Hierarchical Matching Model” in the thesis has raised the matching precision and efficiency.
These two theses have been published in Photogrammetric Engineering & Remote Sensing（PE&RS）.
Founded in 1934, ASPRS is a scientific association serving more than 7000 professionals worldwide and one of the most well-known international organization of its field. In recent years, five awards are to be presented with only 13 outstanding papers at its annual conference, which are chosen anonymously from PE&RS, the official magazine of ASPRS.
