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- W3010690151 abstract "The calculation of the electromagnetic scattering properties of the chaff cloud is important to interference effect evaluation in electronic countermeasures. A core issue of this evaluation is to establish a proper model of chaff cloud. Many opened literatures focuses on same simple random distribution models of the chaff elements. In many cases the diffusion procedure of the chaff cloud, especially in airflow, can not be simply described with functions. So this paper presents a method which can recognize the locations and orientation angles of the chaff element using high speed photography technology and SVM (Support Vector Machine). Then, the VRT (Vector Transport Theory) is used to evaluate the electromagnetic scattering properties of chaff cloud. Firstly, the image obtained by high-speed camera is extracted, and then graying, smoothing and binarizing are successively adopted to obtain the proper binarized image. Then the boundary searching algorithms is performed to find the edge of the chaff elements. According to the extracted contour information of chaff elements, the image is sliced into several segments. Secondly, according to the prior information, the basic database of chaff length and orientation angles is established. Thirdly, SVM is used to find the most similar image in database with the image which is output from high spread camera. So the chaff length and orientation angle can be found with the help of the database. At last, VRT is adopted to calculate the scattering properties of the chaff cloud. Simulations show that SVM can recognize the information of the chaff elements with a high accuracy and the VRT can obtain the electromagnetic properties of the chaff cloud efficiently." @default.
- W3010690151 created "2020-03-23" @default.
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- W3010690151 date "2019-12-01" @default.
- W3010690151 modified "2023-09-28" @default.
- W3010690151 title "A Scattering Evaluation Method of Chaff Cloud Based on VRT and SVM" @default.
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- W3010690151 doi "https://doi.org/10.1109/piers-fall48861.2019.9021299" @default.
- W3010690151 hasPublicationYear "2019" @default.
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