Method and system for intelligently recognizing aircraft wreckage based on error back propagation neural network

Abstract

The invention provides a system for intelligently recognizing aircraft wreckage based on error back propagation neural network. The system comprises a shooting device, an image acquiring device, a calculating processing device, an alarming device and a wireless communication device; the shooting device is used for shooting a characteristic target area and transmitting the image information obtained on real time to the image acquiring device; the image acquiring device performs format conversion for the obtained real-time image information and transmits to the calculating processing device; the calculating processing module is used for processing the image information subjected to format conversion by preprocessing, image cutting, image calculating, image recognizing and neural network learning graining; the calculating processing device sends alarming information to the alarming device after effectively recognizing the target and finishes the bidirectional wireless communication with a control device through the wireless communication device. A method for intelligently recognizing aircraft wreckage based on error back propagation neural network comprises eight steps. The system and method have a good application prospect in the technical field of intelligent recognition.

Description

Technical field [0001] The present invention proposes an aircraft wreckage intelligent recognition method and system based on error back propagation neural network. Aiming at the optical image obtained by the airborne optoelectronic pod platform, the error back propagation neural network algorithm is used for target recognition to obtain the background environment. Feature target information belongs to the field of intelligent recognition technology. Background technique [0002] Aircraft wreck recognition refers to the search and recognition of aircraft wreckage such as the wings, tail, and black box of the aircraft based on the characteristic information of the aircraft. As an important transportation platform and carrying tool, airplanes have played an increasingly important role in social life, national defense and military fields. With the rapid increase in the number of flight sorties and the continuous increase in airspace flight density, various types of aircraft lost co...

AI Technical Summary

Problems solved by technology

[0009] The present invention provides an aircraft wreck intelligent identification method and system based on an error backpropagation neural network, the purpose of which is to overcome the defects of conventional aircraft wreck identification systems with few identification types, low intelligence, and low accuracy

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