Providing a Method for Damage Assessment in Combat Operations Using Image Processing

Document Type : Original Article


Researcher in institute for the Study of war Aja command and Staff University



This article examines the detection of objects (targets) as well as the damage assessment caused by combat operations. Object detection using imagery in military operations is widely used to discover the commander's important objectives at the scene to prevent the threat of attack. One of the important applications of object recognition in battle scene imagery is to detect the target to counter it. In this paper, in order to assess the damage, we first identify the objects in the images using the Haar cascade classification method. After identifying the objects, the damage assessment operation is described by matching the images and obtaining the differences in the images. Finally, the validity of the proposed method is illustrated by a practical example.