DEVELOPMENT OF VIDEO DATA POST-PROCESSING TECHNIQUE: GENERATING CONSUMER DRONE FULL MOTION VIDEO (FMV) DATA FOR INTELLIGENCE, SURVEILLANCE AND RECONNAISSANCE (ISR)

Abstract

Full motion video (FMV) is a digital video data format where spatial information is embedded in the video file and is fully compatible to be exploited in standard geographic information system (GIS) environments. FMV, also known as georeferenced video, was initially a military technology that has now been implemented in commercial drone systems. Typically, only high-end industrial and
expensive drone systems can be equipped with FMV capabilities. FMV provides many advantages, especially in providing critical information that cannot be obtained from other sources. It adds a fourth dimension to imagery analysis, where the video footprint can be viewed directly on top of maps to provide excellent event fidelity, seamless event progression, and a full context regarding the nature of the location and activities being viewed on the Earth surface. This study aims to research and develop a scientific method to allow the capabilities of FMV technology to be applied into standard video data formats that are captured using consumer drone systems. Consumer drones are the most extensively used drone system nowadays by the private sector, research institutions and even government bodies due to their competitive pricing and easiness to operate. In this paper, a postprocessing
technique to generate FMV data from standard video data format captured using a DJI Mavic 2 Enterprise drone system is developed and tested for intelligence, surveillance and reconnaissance (ISR) applications.
Keywords: Drone full motion video (FMV); consumer drones; ArcGIS FMV; spatial video; intelligence, surveillance and reconnaissance (ISR).

Description