A Fragment Distribution Detection System and Method

Abstract

The invention provides a fragment distribution detection system and method, which belong to the field of image processing. The detection system includes: a man-machine flight control platform, an image acquisition module and an image processing module. The image processing module includes an automatic fragment identification and extraction module and Data processing and analysis module. The measurement method is: after the static explosion, collect data on the fragment distribution area through the UAV flight control platform, and form an orthophoto map based on the principle of aerial triangulation; establish a mathematical model and database based on the characteristics of the fragments, relying on various algorithms and deep learning Complete the automatic identification and extraction of fragments; transform the space to the rectangular coordinate system of the blast center space, and finally obtain the fragment distribution parameters in the blast center coordinate system. The system and method can carry out image recognition on the fragments in the falling area of ​​a large area sector, automatically extract, and quickly extract the coordinate distribution, area and quantity information of the fragments for measurement.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a fragment distribution detection system and method. Background technique [0002] After the static explosion or dynamic explosion of the missile, the impact point position and the size of the shrapnel are analyzed, and then the damage degree of the missile body to the effector is analyzed. According to the design theoretical value, determine the relevant parameters such as the charge equivalent, the distribution position of the shrapnel, and the size of the shrapnel, and analyze the degree of damage to the target. However, the current technology is mainly to find the target through manual visual inspection, and then use a handheld GPS to measure the position of the shrapnel point by point, and there is currently no statistics on the size of the shrapnel. [0003] At present, the measurement accuracy of this detection method is low, the speed is slow, the data process...

AI Technical Summary

Problems solved by technology

However, the current technology is mainly to find the target target manually, and then use the handheld GPS to measure the position of the shrapnel point by point, and there is currently no statistics on the size of the shrapnel.

[0003] At present, the measurement accuracy of this detection method is low, the speed is slow, the data processing time is long, and it is prone to errors in manual input data.

Images