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Time based radar signal analysis revealing nature and properties of surface scans H. Kelderman, S. S. Kataeva, W. M. Klein [et al.]

Contributor(s): Kelderman, H | Kataeva, S. S | Klein Wolterink, M | Antonyuk, N. A | Kataev, S. GMaterial type: ArticleArticleContent type: Текст Media type: электронный Subject(s): анализ радиолокационных сигналов | сканирование поверхностиGenre/Form: статьи в сборниках Online resources: Click here to access online In: 26th European Meeting of Environmental and Engineering Geophysics 2020 : held at Near Surface Geoscience Conference and Exhibition 2020, 7 - 8 December 2020 : online P. 71-75Abstract: To clarify subsurface properties, it is necessary to investigate the time base of the signal. However, it is often necessary to solve the problem of determining the structure of only the surface layer. Our method addresses this problem. Advantages of the method: 1. Highlights homogeneous areas in terms of surface conditions 2. It can process large data on profile measurements in an almost continuous mode, using any one (or a small amount) information signal attribute. 3. There is no need for desk data processing, interpretation. 4. This method uses a signal of any nature. Here we explore if it is possible to obtain more information about the quality and state of the object by not only looking at a single time-based measurement, but instead looking at consecutive measurements as from a stream. By studying the structure of the stream and the changes in it, properties like moisture content can be revealed. A method is proposed for fingerprinting radar signals and detecting the boundaries of homogeneous media during a scan along changing objects properties.
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Библиогр.: с. 75

To clarify subsurface properties, it is necessary to investigate the time base of the signal. However, it is often necessary to solve the problem of determining the structure of only the surface layer. Our method addresses this problem. Advantages of the method: 1. Highlights homogeneous areas in terms of surface conditions 2. It can process large data on profile measurements in an almost continuous mode, using any one (or a small amount) information signal attribute. 3. There is no need for desk data processing, interpretation. 4. This method uses a signal of any nature. Here we explore if it is possible to obtain more information about the quality and state of the object by not only looking at a single time-based measurement, but instead looking at consecutive measurements as from a stream. By studying the structure of the stream and the changes in it, properties like moisture content can be revealed. A method is proposed for fingerprinting radar signals and detecting the boundaries of homogeneous media during a scan along changing objects properties.

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