Remote sensing image enhancement method based on scene prior
A remote sensing image and remote sensing image technology, applied in the field of image processing, can solve problems such as differences in statistical information and difficulties in meeting application requirements, and achieve the effects of improving image quality, avoiding unstable enhancement effects, and improving the level of automation
Active Publication Date: 2020-05-05
XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI
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However, the statistical information of remote sensing images in different scenes is often different, and it is difficult to use statistical information for image enhancement regardless of the scene to meet the actual application requirements.
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[0046] The specific implementation process of the present invention will be further described in conjunction with the accompanying drawings.
[0047] Affected by factors such as illumination and detector performance, the acquired true-color remote sensing images have the problems of uneven brightness and low contrast. figure 2It is a true-color remote sensing image of an industrial park. The brightness of the image is dark and the contrast is low. Due to the occlusion of clouds, some areas in the image are obviously darker than other areas.
[0048] In the remote sensing image enhancement method based on scene constraints in this embodiment, firstly, the statistical information of high-quality images in different scenes is constructed, and the statistical information is used as a priori for subsequent image enhancement; then, a scene classification network based on AlexNet is trained through a large amount of data , get a high-precision scene classification model, use the sce...
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The invention belongs to the field of image processing, and relates to a remote sensing image enhancement method based on scene prior, which mainly comprises the following steps: 1, manually selectinghigh-quality remote sensing images of various scenes from remote sensing image data, and counting multi-scale features of the images; 2, performing scene classification training on the remote sensingimage data by using a convolutional neural network to obtain a stable scene classifier, and obtaining a scene of a to-be-enhanced image by using the scene classifier; and 3, enhancing the to-be-enhanced image by taking the multi-scale features of the high-quality remote sensing image in the same scene as constraint conditions so as to improve the image quality. Remote sensing images in differentscenes can be remarkably enhanced, and the defect that an existing image enhancement method is unstable in enhancement effect in different scenes is avoided.
Description
technical field [0001] The invention belongs to the field of image processing and relates to a remote sensing image enhancement method. Background technique [0002] During the acquisition process of remote sensing images, due to weather effects and equipment performance degradation, image contrast decreases, which affects the visual effects of remote sensing images and subsequent applications such as object classification, target recognition, and transformation detection. Image enhancement technology can increase the contrast of the image while maintaining the original information of the image, highlighting the overall and detailed information of the image. [0003] At present, prior-based image enhancement methods mainly focus on the following two aspects: [0004] 1) Image enhancement methods based on the information of the image itself. Most of these methods take the edge, texture, and sparsity of the image as prior constraints, and can obtain better image enhancement e...
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Login to View More IPC IPC(8): G06T5/00G06K9/62G06N3/04
CPCG06T2207/10032G06T2207/20084G06T2207/20081G06N3/045G06F18/24G06F18/214G06T5/90
Inventor 陈铁桥李海巍苏秀琴刘佳王爽张耿王一豪
Owner XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI