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Method for measuring tree heights by tomography synthetic aperture radar (SAR) based on compression multi-signal classification (CS-MUSIC)

A technology of multi-signal classification and tomosynthesis, which is applied in the field of tomosynthetic aperture radar to measure tree height, can solve the problems of high cost and achieve the effect of reducing the number of passes and the number of false targets

Active Publication Date: 2014-08-06
INST OF ELECTRONICS CHINESE ACAD OF SCI
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Problems solved by technology

This method achieves super-resolution imaging in the elevation direction, but still requires a large number of voyages to ensure the reconstruction accuracy, which requires a higher cost in actual experiments

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  • Method for measuring tree heights by tomography synthetic aperture radar (SAR) based on compression multi-signal classification (CS-MUSIC)
  • Method for measuring tree heights by tomography synthetic aperture radar (SAR) based on compression multi-signal classification (CS-MUSIC)
  • Method for measuring tree heights by tomography synthetic aperture radar (SAR) based on compression multi-signal classification (CS-MUSIC)

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Embodiment Construction

[0017] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be noted that, in the drawings or descriptions of the specification, similar or identical parts all use the same figure numbers. Implementations not shown or described in the accompanying drawings are forms known to those of ordinary skill in the art. Additionally, while illustrations of parameters including particular values ​​may be provided herein, it should be understood that the parameters need not be exactly equal to the corresponding values, but rather may approximate the corresponding values ​​within acceptable error margins or design constraints. The directional terms mentioned in the embodiments, such as "upper", "lower", "front", "rear", "left", "right", etc., are only referring to the directions of the...

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Abstract

The invention provides a method for measuring tree heights by a tomography synthetic aperture radar (SAR) based on compression multi-signal classification (CS-MUSIC). The method solves the problem that the aerial photography frequency is high in traditional SAR tomography, an echo observation vector matrix is established by using the correlation among all polarization channel signals of the complete polarization SAR, and the CS-MUSIC algorithm is used for conducting elevation scattering coefficient reconstruction. Compared with a traditional spectrum estimation SAR tomography method, the number of false targets can be decreased in the method, and meanwhile the aerial photography frequency needed by the tomography SAR in the tree height measuring process is lowered.

Description

technical field [0001] The invention relates to the technical field of radar three-dimensional imaging, in particular to a method for measuring tree heights by tomographic synthetic aperture radar based on compressed multi-signal classification (CS-MUSIC). Background technique [0002] Synthetic Aperture Radar (SAR) 3D imaging technology not only inherits the all-time, all-weather, high-resolution imaging advantages of traditional SAR systems, but also avoids the problem of targets in the same scattering unit in 2D imaging. The overlay effect that exists when the slant distance between the scattering point and the radar is equal can completely separate the altitude and distance of the target, and realize the three-dimensional resolution ability of the target. [0003] SAR tomography also has three-dimensional imaging capabilities. SAR tomography is to arrange multiple antennas along the normal direction perpendicular to the line of sight or use the same antenna to image the...

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Application Information

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IPC IPC(8): G01S13/90
CPCG01S7/41G01S13/90G01S13/9027
Inventor 张冰尘王万影毕辉赵曜蒋成龙洪文
Owner INST OF ELECTRONICS CHINESE ACAD OF SCI
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