Big data analysis and server applications for Unmanned Aerial Vehicle/Drones

This thesis mainly proposed a novel way to solve the analysis of big data of the unmanned aerial vehicle (UAV) platform in the operation process with the corresponding software, for developing the efficiency of the traditional measurement of survey-mapping and solving flight safety problems. Using a large database server of UAV with the related industries processing applications and network applications, applications of UAV with automate, autonomous, and intelligent are truly executed. Meanwhile, making its applications become easier, more accurate, safer and faster in some field, such as the survey-mapping of UAV, several times or more efficiency are achieved.