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A method for removing thick clouds from optical remote sensing images based on constructing virtual images

A virtual image and optical remote sensing technology, which is applied in image enhancement, image memory management, image data processing, etc., can solve the problems that optical remote sensing images cannot obtain surface information, etc., and achieve the effect of improving application capabilities and overcoming accuracy differences

Active Publication Date: 2022-07-05
CAPITAL NORMAL UNIVERSITY
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Problems solved by technology

[0007] The problem that the surface information cannot be obtained from the optical remote sensing image under the condition of cloud pollution

Method used

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  • A method for removing thick clouds from optical remote sensing images based on constructing virtual images
  • A method for removing thick clouds from optical remote sensing images based on constructing virtual images
  • A method for removing thick clouds from optical remote sensing images based on constructing virtual images

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Embodiment 1

[0060] see figure 1 The present invention proposes a method for removing thick clouds from optical remote sensing images based on constructing virtual images. The specific method steps are as follows:

[0061] S1. Obtain the time-series Landsat surface reflectance product images of the target study area for data preparation;

[0062] S2. Mask the time series Landsat remote sensing image through the quality detection band in the data. When the quality detection band data identifies the pixel as a cloud or cloud shadow, the pixel value is set to a null value, that is, it is necessary to The part where cloud removal is performed;

[0063] S3. Select the cloud pollution image to be processed by the target, and build an inner buffer and an outer buffer for each cloud area. Based on the principle of the dilation algorithm, taking the construction of the inner buffer as an example, by using a sliding window, when the window memory In the case of cloud pixels, all pixels in the wind...

Embodiment 2

[0092] see Figure 2-3 , the difference between this embodiment and the specific embodiment one is:

[0093] This implementation case selects the Yellow River Delta as the study area. This method mainly performs code writing and calculation on MATLAB software. The following is a further supplementary proof of the feasibility of the present invention by applying the method proposed by the present invention to practical cases.

[0094] Step 1. Obtain the Landsat 8 satellite surface reflectance product covering the Yellow River Delta region in 2019.

[0095] Step 2: Obtain the cloud and shadow distribution area corresponding to each scene image through the quality detection band in the Landsat 8 data, use ENVI software to perform mask processing, and set the cloud area to a null value.

[0096] Step 3. Select the Landsat 8 image on July 18, 2019 ( figure 2 ), as the target processing data, write code on MATLAB software, first extract each cloud area, and the corresponding buf...

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Abstract

The invention discloses a method for removing thick clouds from an optical satellite remote sensing image based on a virtual image. First, for the image covered by thick clouds, the cloud pixels are eliminated by using the cloud mask data. The eliminated cloud pixels are used as the target pixels to be restored, and the connected target pixels are used as the cloud regions to be restored. The cloud removal process is performed separately for each cloud area in the image. Then, the time-series weighted spectral distance is constructed, and for each target pixel, similar pixels are searched in the inner buffer. The weight is calculated by using the time-series weighted spectral distance and spatial distance between similar pixels and the target pixel, and the residuals of similar pixels are distributed to the target pixels by the method of linear weight distribution, and the residuals of the target pixels are obtained, and then the cloud area is obtained. residual image. Finally, the virtual image of the cloud area and the residual image are combined to obtain a cloud-free image of the cloud area. The invention effectively solves the problem that the optical remote sensing image cannot obtain the surface information under the condition of cloud pollution.

Description

technical field [0001] The invention belongs to the field of image processing of remote sensing images, in particular to a method for removing thick clouds from optical remote sensing images based on constructing virtual images. Background technique [0002] Satellite remote sensing, as an important data source for large-scale and long-term Earth observation, plays an irreplaceable role in land use change, crop management, and environmental monitoring. However, in the application process of satellite data, optical satellites will inevitably be affected by cloud pollution, resulting in greatly reduced data availability. Whether it is for long-term phenological monitoring on the ground, or for short-term sudden disasters, thick cloud cover brings challenges to the timeliness and accuracy of monitoring. Therefore, the reconstruction of missing values ​​caused by thick clouds is very important for the application of satellite data. [0003] In the thick cloud removal methods p...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T5/30G06T1/60
Inventor 柯樱海王展鹏吕明苑朱丽娟
Owner CAPITAL NORMAL UNIVERSITY
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