Compression method of cloudy remote sensing image based on quantization strategy

A technology of remote sensing image and compression method, which is applied in the field of image processing, and can solve problems such as loss of cloud areas and inability to retain information of thin clouds and ground objects, so as to achieve the effects of improving compression performance, improving peak signal-to-noise ratio (PSNR), and reducing coding consumption

CN112565756BActive Publication Date: 2021-09-03XIDIAN UNIV +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2021-09-03

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Abstract

The invention discloses a cloud-containing remote sensing image compression method based on a quantization strategy, which mainly solves the problems that the prior art cannot retain ground object information in areas covered by thin clouds and consumes a lot of coding. The scheme is: expand the boundary of the cloudy remote sensing image and the cloud mask image, and perform downsampling and interpolation on the cloud area; calculate the approximate median of the region of interest in the cloudy remote sensing image; obtain the grayscale of different cloud areas Mask and mark the grayscale images of the inner and outer edges of different cloud regions; quantify the cloud region of the cloud-containing remote sensing image according to the cloud mask image; combine the grayscale images of the inner and outer edges of the cloud region to perform boundary on the quantized image of the cloud region Smoothing: Subtract a median from the values ​​of all pixels in the smoothed image, then compress and encode, and send the code stream to the receiving end; the receiving end decodes the code stream to obtain the restored image. The invention reduces encoding consumption, can partially retain the information of thin cloud coverage areas, and can be used for the transmission of cloud-containing images.
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Description

technical field

[0001] The invention belongs to the technical field of image processing, and further relates to an efficient compression method for remote sensing images containing invalid cloud regions, which can be used for transmission and processing of various remote sensing images containing clouds. Background technique

[0002] The rapid development of high-resolution remote sensing technology has intensified the contradiction between satellite-ground image transmission bandwidth and remote sensing image data volume. In order to transmit and process acquired images, fast and efficient data compression algorithms are required. However, the ubiquitous cloud areas in remote sensing images occupy a large amount of storage space and transmission bandwidth, which reduces the data ROI of the region of interest, that is, the bandwidth utilization rate of the ground object area data in the image except the cloud area. Therefore, it is of great significance to study image compre...

Examples

Embodiment Construction

[0035] The specific embodiment of the present invention will be further described below in conjunction with accompanying drawing:

[0036] refer to figure 1 , the specific implementation steps of this example are as follows:

[0037] Step 1: Extend the boundaries of cloud-containing remote sensing images and cloud mask images.

[0038] 1.1) Note that the width of the original cloudy remote sensing image is W, the height is H, and the bit depth is Bd; the size of the original cloud mask image is consistent with the original cloudy remote sensing image;

[0039] 1.2) Boundary extension of cloudy remote sensing images:

[0040] If W is an odd number and H is an even number, add a column of data to the far right of the original cloud image, and the added data is the Wth column data of the original cloud image;

[0041] If W is an even number and H is an odd number, add a row of data at the bottom of the original cloud image, and the added data is the Hth row data of the origina...