Remote sensing image super-resolution reconstruction method and device and storage medium
A remote sensing image and super-resolution technology, applied in the field of image processing, can solve the problems of poor reconstruction quality of high-frequency information edge parts and lack of edge details, and achieve the effect of solving the lack of edge details, clear edge contours, and good restoration effect.
Active Publication Date: 2021-04-30
GUILIN UNIVERSITY OF TECHNOLOGY
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[0002] The current mainstream super-resolution algorithms include nearest neighbor interpolation, bicubic interpolation, SRCNN, VDSR, SRGAN, etc., but considering that remote sensing images contain rich high-frequency information, the reconstruction quality of the edge part of high-frequency information is relatively poor with the current algorithm. And there is a problem of missing edge details during image reconstruction
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[0019] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.
[0020] figure 1 It is a schematic flowchart of a remote sensing image super-resolution reconstruction method provided by an embodiment of the present invention.
[0021] Such as figure 1 As shown, a remote sensing image super-resolution reconstruction method includes the following steps:
[0022] Obtaining original remote sensing images through satellites, and performing cropping processing on the original remote sensing images to obtain multiple remote sensing cropped images;
[0023] respectively performing down-sampling processing on a plurality of the remote sensing clipped images to obtain low-resolution images corresponding to the remote sensing clipped images;
[0024] Constructing a training network, upda...
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The invention provides a remote sensing image super-resolution reconstruction method and device and a storage medium, and the method comprises the steps of obtaining an original remote sensing image through a satellite, and carrying out the cutting of the original remote sensing image, and obtaining a plurality of remote sensing cut images; and respectively carrying out down-sampling processing on the plurality of remote sensing cut images to obtain low-resolution images corresponding to the remote sensing cut images. Compared with an existing algorithm, the invention has a better restoration effect in remote sensing image super-resolution reconstruction, so that the reconstructed image is clearer, more texture details are restored, the edge contours of buildings, roads and vegetation are clearer, the reconstruction quality of the edge part of high-frequency information is improved, and meanwhile, the PSNR is greatly improved, the SSIM is also slightly improved, so that the problem of edge detail loss during image reconstruction is solved.
Description
technical field [0001] The present invention mainly relates to the technical field of image processing, in particular to a remote sensing image super-resolution reconstruction method, device and storage medium. Background technique [0002] The current mainstream super-resolution algorithms include nearest neighbor interpolation, bicubic interpolation, SRCNN, VDSR, SRGAN, etc., but considering that remote sensing images contain rich high-frequency information, the reconstruction quality of the edge part of high-frequency information is relatively poor with the current algorithm. And there is a problem of missing edge details during image reconstruction. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a remote sensing image super-resolution reconstruction method, device and storage medium for the deficiencies of the prior art. [0004] The technical solution of the present invention to solve the above-mentioned t...
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IPC IPC(8): G06T3/40G06T7/181G06N3/04G06N3/08G06K9/62
CPCG06T3/4053G06T7/181G06N3/08G06T2207/10032G06T2207/20132G06T2207/20081G06N3/045G06F18/253
Inventor 李景文陈文达姜建武
Owner GUILIN UNIVERSITY OF TECHNOLOGY