Special Target Recognition and Location Using Differential Image Detection Technology

It is well known that the special objectives such as military cave storage is hard to be recognized and located by routine method because of camouflage technology. This paper presents a new algorithm basing on differential image detection and edge detection technology. Firstly, extracting some target images at different period while in the same position. Then using preprocessing technology to define the object region for analyzed. The third, adopting differential detection algorithm for image comparison, filtering the noise which may influence detection results by setting proper gray threshold. After excluding the interference factors such as working environment, phenophase, experimental instrument, light condition and so on, we can determine the shape feature of target's boundary. Experimental results demonstrate that this algorithm can realize fast processing, high accuracy recognition, insensitive to the noise and is effective for increasing the capability of special target recognition and location such as military cave storage.