Generative-Network Based Multimedia Super-Resolution for Uav Remote Sensing
Yash Turkar, Christo Aluckal, Shaunak De, Varsha Turkar, Yogesh Agarwadkar · IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium · 2022
Unmanned Aerial Vehicle (UAV) based aerial mapping has taken over the surveying industry thanks to low costs and ease of use. Although these UAVs have relatively high-resolution imaging systems, there exists a near exponential relationship between the ground sampling distance (GSD) and the number of images required - which is a function of flight altitude. To tackle this, we use a generative network based super-resolution approach to increase the GSD of images which effectively reduces flight time. In this paper we test the efficiency and efficacy of this approach using two multimedia super-resolution implementations. We also provide quantitative results comparing the two using various image processing metrics.