Abstract
With the development of technology, UAS is an advance technology to support rapid mapping for disaster response. The aim of this study is to develop educational modules for UAS data processing in rapid 3D mapping. The designed modules for this study are focused on UAV data processing from available freeware or trial software for education purpose. The key modules include orientation modelling, 3D point clouds generation, image georeferencing and visualization. The orientation modelling modules adopts VisualSFM to determine the projection matrix for each image station. Besides, the approximate ground control points are measured from OpenStreetMap for absolute orientation. The second module uses SURE and the orientation files from previous module for 3D point clouds generation. Then, the ground point selection and digital terrain model generation can be archived by LAStools. The third module stitches individual rectified images into a mosaic image using Microsoft ICE (Image Composite Editor). The last module visualizes and measures the generated dense point clouds in CloudCompare. These comprehensive UAS processing modules allow the students to gain the skills to process and deliver UAS photogrammetric products in rapid 3D mapping. Moreover, they can also apply the photogrammetric products for analysis in practice.
Highlights
Unmanned Aerial System (UAS) is a term used to represent an uninhabited and reusable motorized aerial vehicle that are remotely controlled, semi-autonomous and autonomous (Eisenbeiss, 2011)
The fixed-wing UAS is similar to airplane, and is usually used in the wide range monitoring; while multi-copters UAS is similar to helicopter, it tends to do the small range investigation
The UAS data is acquired by professional team and this study only focus on UAS data processing
Summary
Unmanned Aerial System (UAS) is a term used to represent an uninhabited and reusable motorized aerial vehicle that are remotely controlled, semi-autonomous and autonomous (Eisenbeiss, 2011). Jeziorska (2014) proposed the syllabus for UAS course including introduction, flight preparation, flight, processing data and interpretation of results This newly course gives students an opportunity to learn a series of procedures for UAS’s application. According to the above backgrounds, we can find that more and more applications use the spatial data acquired from UAS; on the other hand, the relevant abilities to operate a UAS draws the increasing attention. Combining these two conclusions, our study would like to develop educational modules for UAS data processing from available freeware or trial software systematically. The background of the curriculum is designed in rapid 3D mapping for emergency response by using UAS acquired data
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