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Lunar surface flat region selection method based on fractal dimension and polarization decomposition

A fractal dimension and polarization decomposition technology, which is used in the reflection/re-radiation of radio waves, climate sustainability, instruments, etc. problems such as the small coverage of car images, to achieve the effect of realizing recognition and improving accuracy

Pending Publication Date: 2022-05-17
AEROSPACE INFORMATION RES INST CAS
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Problems solved by technology

However, optical images cannot provide information on the permanently shadowed areas of the lunar polar regions, and the image coverage of the lunar rover is small, covering only a very small number of areas of interest on the lunar surface
In addition, limited by the inherent laser spot spacing, the existing digital elevation model (DEM) data of the lunar surface has low resolution in some regions of interest

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  • Lunar surface flat region selection method based on fractal dimension and polarization decomposition
  • Lunar surface flat region selection method based on fractal dimension and polarization decomposition
  • Lunar surface flat region selection method based on fractal dimension and polarization decomposition

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Embodiment Construction

[0026] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0027] In order to achieve the above object, the technical scheme of the present invention is as figure 1 As shown, a method for selecting flat areas on the lunar surface based on fractal dimension and polarization decomposition includes the following steps:

[0028] Step 1. Obtain full polarization SAR data;

[0029] Step 2, calculate the fractal dimension D according to the total radar backscattering power, and obtain the fractal dimension figur...

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Abstract

The invention relates to a lunar surface flat region selection method based on fractal dimension and polarization decomposition. The method comprises the following steps: step 1, obtaining complete polarization SAR data; step 2, calculating a fractal dimension D according to the total back scattering power of the radar to obtain a fractal dimension graph; step 3, binarizing the fractal dimension graph, setting pixel values greater than a fractal dimension mean value to be white, setting pixel values smaller than the mean value to be black, and obtaining a binarized fractal dimension graph; 4, all continuous N * N pixel areas which do not contain white pixels are screened out from the fractal dimension graph after binaryzation to serve as candidate areas selected coarsely, and N is the width of the pixel areas; 5, performing polarization decomposition on the SAR echo by using a Yamagguchi four-element decomposition method to obtain the sizes of a single scattering component, a secondary scattering component, a volume scattering component and a spiral scattering component; and step 6, for each candidate region, screening out an n * n pixel region with the maximum single scattering component proportion, i.e., a selected and extracted flat region.

Description

technical field [0001] The invention relates to the field of radar image processing, in particular to a method for selecting flat areas on the lunar surface based on fractal dimension and polarization decomposition. Background technique [0002] Synthetic Aperture Radar (SAR) is an active microwave imaging system with all-weather, all-weather and penetrating imaging capabilities, and is widely used in Earth remote sensing and planetary exploration. Polarization SAR provides polarization scattering information in addition to the amplitude and phase characteristics of the target scattering echo, which provides an effective way to infer the physical properties of the planet's surface. The polarization target decomposition is an important branch of polarimetric SAR image interpretation by decomposing the matrix representing the polarization scattering characteristics of the target to extract various polarization parameters with physical meaning. Yamaguchi four-element decomposi...

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Application Information

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IPC IPC(8): G01S13/90G01S7/41
CPCG01S13/9021G01S7/41Y02A90/10
Inventor 高瑶侯文涛刘秀清王春乐张衡王宇
Owner AEROSPACE INFORMATION RES INST CAS
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