Intelligent decision support system design and implementation method for unmanned aerial vehicle SAR image automatic target recognition

An automatic target recognition and intelligent decision-making technology, applied in character and pattern recognition, computing, computer parts and other directions, can solve the problems of failure to achieve automatic target recognition, no intelligent decision-making design and effective use, etc., to achieve the effect of convenient operation

Active Publication Date: 2021-06-04
ROCKET FORCE UNIV OF ENG
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this type of unmanned combat system relies more on human-in-the-loop control, and has not achieved true automatic target recognition, nor has it been designed and effectively used from the perspective of intelligent decision support.

Method used

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  • Intelligent decision support system design and implementation method for unmanned aerial vehicle SAR image automatic target recognition
  • Intelligent decision support system design and implementation method for unmanned aerial vehicle SAR image automatic target recognition
  • Intelligent decision support system design and implementation method for unmanned aerial vehicle SAR image automatic target recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0118] MSTAR dataset experiment

[0119] The MSTAR data set is a SAR image data set of geostationary military vehicle targets released by the US DARPA project team, including T72 (main battle tank), BMP2 (infantry fighting vehicle), and BTR70 (armored personnel carrier). A slice image with a size of 128×128 pixels is extracted from the data collected by the sensor, and each type of target vehicle is located in the center of the slice image. Since the data set provided by the project team is the original data volume, not the image format, in the SAR image ATR intelligent decision support system, in order to provide decision makers with a more intuitive and comprehensive data display, it is necessary to visualize all the original data, Such as Figure 11 shown.

[0120] During the experiment, the training samples are the SAR imaging data of the ground target, the SAR pitch angle is 17°, a total of 1622, the test samples are the imaging data of the ground target, the SAR pitch ...

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Abstract

The invention discloses an intelligent decision support system design and implementation method for unmanned aerial vehicle SAR image automatic target recognition. The method comprises constructing a feature library and an inference engine. The specific process of constructing the feature library is as follows: 11) performing segmentation detection on a target in the SAR image; 12) carrying out target false alarm elimination and target calibration on the SAR image; 13) constructing a multi-scale space based on a Gaussian difference model; and 14) taking multi-resolution features of the SAR image, and constructing a feature library according to the extracted multi-resolution features. The specific process of constructing the inference engine is as follows: 21) constructing a training set and a test set by using the extracted multi-resolution features of the SAR image; 22) constructing a multi-scale multi-core support vector classifier; and 23) training and testing the multi-scale multi-core support vector classifier, and performing automatic target identification of the SAR image by using the trained and tested multi-scale multi-core support vector classifier to construct an inference engine. The method can realize automatic target identification of the SAR image.

Description

technical field [0001] The invention relates to a design method of an intelligent decision support system, in particular to a design and implementation method of an intelligent decision support system for automatic target recognition of UAV-borne SAR images. Background technique [0002] Decision Support System (DSS) uses information technology as a means to apply theories and methods of management science, computer science and other disciplines, aiming at semi-structured or unstructured decision-making problems, by providing background materials and assisting in clarifying problems It is a human-computer interaction information system that helps managers make correct decisions by modifying and perfecting models, enumerating possible solutions, and conducting analysis and comparison. [0003] In the 1970s, the development of operational research models was relatively complete, multi-objective decision-making analysis broke through the framework of a single utility theory, co...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/34G06K9/46G06K9/62
CPCG06V20/20G06V10/26G06V10/462G06V2201/07G06F18/2411G06F18/214
Inventor 汪洪桥蔡艳宁付光远王冕贾晓雅张少磊
Owner ROCKET FORCE UNIV OF ENG
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