Model constructing method of sparse microwave imaging processing

A sparse microwave imaging and construction method technology, applied in the field of model construction for sparse microwave imaging processing, can solve the problems of low efficiency, and the sparse observation matrix of microwave imaging cannot be selected arbitrarily.

Inactive Publication Date: 2011-11-23
INST OF ELECTRONICS CHINESE ACAD OF SCI
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Problems solved by technology

Third, the sparse observation matrix of microwave imaging cannot be selected arbitrarily, it is restricted by radar parameters and imaging geometry, so it is necessary to reasonably design a feasible observation matrix and data acquisition method
Fourth, in order to meet the requirements of high-resolution and wide-swath microwave imaging for earth observation, the amount of data may reach several to tens of GB even after sparse sampling, and the existing numerical optimization algorithm is still difficult to handle such a huge amount of data amount, and there is a problem of low efficiency, so it is necessary to realize the robustness and rapidity of the reconstruction optimization algorithm

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  • Model constructing method of sparse microwave imaging processing

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[0067] The present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0068] Such as Figure 4 As shown, the operation steps of a model construction method for sparse microwave imaging processing proposed by the present invention include:

[0069] Step 1: Using the linear operator characteristic of microwave imaging to establish a linear regression model for microwave imaging:

[0070] Y=H·X+N (1)

[0071] Among them, Y is the echo collection data, X is the microwave observation object, H is the microwave imaging radar observation matrix, and N is the noise.

[0072] The echo acquisition data Y can be time domain data, frequency domain data or space domain data, and the microwave observation object X can be different observation data sets of the observa...

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Abstract

The invention discloses a model constructing method of sparse microwave imaging processing. The model constructing method comprises the following steps of: firstly, establishing a linear regression model of microwave imaging by using a linear operator characteristic of microwave imaging according to a radar system parameter and a geometrical relationship of a radar and a scene; secondly, establishing a linear regression model of sparse microwave imaging though construction of a sparse observation model and a sparse transformation matrix; and finally, establishing a reconstruction model of sparse microwave imaging by applying a sparse signal reconstruction theory in sparse signal processing. The model constructing method of the sparse microwave imaging processing provided by the invention provides a theoretical basis for the sparse microwave imaging.

Description

technical field [0001] The invention relates to the technical field of microwave imaging, and relates to a model building method for sparse microwave imaging processing. Background technique [0002] Compared with optical imaging technology, microwave imaging is not limited by sunlight and weather conditions, and has the ability to observe targets or scenes all-weather and all-weather. It has developed into an important means of remote sensing applications such as resource exploration, environmental monitoring, and disaster assessment. [0003] Application requirements such as high-precision surveying and mapping and resource investigation, natural disasters and environmental monitoring, reconnaissance and early warning make high-resolution, wide surveying and mapping, and multi-dimensional microwave imaging technology the development direction, and the existing microwave imaging system is based on Nyquist sampling Theorem and classical digital signal processing theory, ther...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G01S13/90
Inventor 洪文吴一戎张冰尘王彦平林赟
Owner INST OF ELECTRONICS CHINESE ACAD OF SCI
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