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A physical model-based shadow removal method for remote sensing images

A remote sensing image, shadow removal technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of ignoring the penumbra area, etc., to achieve good shadow removal effect and maintain the effect of spectral characteristics

Active Publication Date: 2022-08-02
NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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Problems solved by technology

But this method ignores the characteristics of the penumbra itself

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  • A physical model-based shadow removal method for remote sensing images
  • A physical model-based shadow removal method for remote sensing images
  • A physical model-based shadow removal method for remote sensing images

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[0043] The specific embodiments of the present invention are described below with reference to the accompanying drawings, so that those skilled in the art can better understand the present invention. It should be noted that, in the following description, when the detailed description of known functions and designs may dilute the main content of the present invention, these descriptions will be omitted here.

[0044] A physical model-based remote sensing image shadow removal method, comprising the following steps:

[0045] (1) Use the following formula to remove the shadow of the shadow area:

[0046]

[0047] where R shadow is the brightness value of the remote sensing image pixel in the shadow area, is the brightness value of the remote sensing image pixel after shadow removal, R path is the range radiation value, and V is the proportion of the direct descending light in the sky to the total light;

[0048] (2) In the window centered on the target half-shadow pixel, t...

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Abstract

The invention discloses a physical model-based remote sensing image shadow removal method, which belongs to the technical field of remote sensing image processing. This method firstly obtains the solar zenith angle, horizontal visibility and water vapor content at the imaging time of the remote sensing image, and uses the 6S model to simulate the skyward direct light transmittance and downward scattered light transmittance under the meteorological conditions. It is used as the range radiation value; then the above parameters are combined to estimate the brightness that needs to be compensated for each band in the shadow area. In addition, for the half-shaded area, taking the half-shaded pixel as the center, the minimum spectral angle is used to search for the illumination end-member and the shadow end-member in a certain window, so as to estimate the brightness that needs to be compensated for each band in the half-shaded area. This method can maintain the spectral characteristics of various ground objects while restoring the brightness of each band.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image intelligent processing and remote sensing image quality enhancement, in particular to a remote sensing image shadow removal method based on a physical model. Background technique [0002] Earth systems such as surface cover, atmosphere, clouds, and terrain are extremely complex, and will always bring a large number of errors to Earth observations, such as geometric errors, atmospheric effects, invalid observations, and terrain effects. These errors can be reduced or even eliminated using image preprocessing operations or other specific models. Shadows caused by tall buildings, clouds, and terrain are also very serious problems for images, and their effects can even be compared to air pollution images. Shadow is the main error source of image misclassification and land use change detection; it is also an important error source of inversion of quantitative parameters such as light ener...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T5/40G06T7/62G06V10/26
CPCG06T5/40G06T7/62G06T2207/10032G06V10/267G06T5/94
Inventor 刘宇高峰王港
Owner NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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