 In airport ground traffic surveillance systems, the detection of an aircraft and its head, AIH, is an important task in aircraft trajectory judgment. To address this challenge, we proposed an end-to-end rotated aircraft and aircraft head detector, RAIHDET, which consists of a CONB-XTT, tiny, base-use-shaped network for assessing the relationships among aircraft in the spatial domain and extended BBA vectors with six to capture the oriented bounding box, OBB, of the aircraft in any direction, and a variant cyclical focal loss to regress the heat map location of key points on the aircraft head. The results show that RAIHDET outperformed other state-of-the-art rotated object and key-pin detectors on the Dota Plane dataset. This article was authored by Faisong, Ruaf-e-Ma, Tao-Lei, and others.