Accurate Analysis of Target Data and Transmission of Measuring Information Security by Airborne Photoelectric Platform

Abstract

Unmanned reconnaissance aircraft can acquire data by remote sensing. The photoelectric imaging platform of unmanned aerial vehicle (UAV) is mounted on the UAV, which uses photogrammetry, image processing and other technologies to accurately analyze the target of interest. With the continuous development of technology, people's requirement for target positioning accuracy is increasing. At the same time, the airborne optoelectronic platform meets the characteristics of wireless sensor networks and needs to deploy key management scheme to ensure the security of data transmission. In this study, coordinate transformation method is used to generate a photoelectric imaging target positioning scheme, based on which the factors affecting the accuracy of target data are analyzed. Using the idea of Monte Carlo algorithm and MatLab simulation, the attitude angle of aircraft and the angle error of gyroscope affect the accuracy of target data. In order to improve the security of data transmission, the identity authentication scheme of Elliptic Curve (ECC) is taken as the research object of key management scheme in this study. Considering the limited resources of wireless sensor networks, a combined public key + identity encryption scheme is proposed. In the simulation process, the scheme shows good performance in encryption/decryption overhead, and the length of ciphertext/private key is controllable. This research is helpful for the airborne photoelectric platform to measure the target data better and ensure the security of data transmission.