Remote aircraft detection against terrain background and its implementation on SCAMP simulator

Though UAVs can autonomously fly by using GPS based waypoint navigation, they are practically blind during these flights, therefore they are considered to be a risk factor to other aircrafts. Due to limited payloads of small and medium sized UAVs, small, low power focal-plane array processor based vision system would be a good candidate for identifying intruder aircrafts. Identification of remote aircraft against sky background is already solved. This paper introduces an algorithm for identifying remote aircraft against terrain background. Some of the critical algorithmic components are implemented on the SCAMP simulator, which enables us to judge the accuracy and the speed of the algorithm.