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Device and method for shadow detection in high-resolution remote sensing images

A remote sensing image and high-resolution technology, which is applied in the field of image processing, can solve the problems of detection method performance degradation and algorithm robustness, and achieve the effects of improved accuracy, high robustness, and less noise points

Active Publication Date: 2019-07-23
HUNAN UNIV
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Problems solved by technology

However, when the adaptive feature selection method deals with high-resolution remote sensing images containing complex scenes, the performance of the threshold-based detection method will drop significantly, and the robustness of the algorithm is not high.

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  • Device and method for shadow detection in high-resolution remote sensing images
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  • Device and method for shadow detection in high-resolution remote sensing images

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Embodiment Construction

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0023] The high-resolution remote sensing image shad...

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Abstract

The invention provides a high-resolution remote sensing image shadow detection device and method, which relate to the field of image processing. The high-resolution remote sensing image shadow detection device and method convert a high-resolution remote sensing image into a spatial feature image; perform preliminary segmentation on the spatial feature image, and obtain shadow areas and non-shadow areas; Processing the shaded area and obtaining processing results, and performing support vector machine classification on the high-resolution remote sensing images according to the processing results, and obtaining an initial probability image matrix; optimizing the initial probability image matrix according to the extended random walk algorithm process, and obtain the shadow image result matrix. The shadow image finally obtained by the high-resolution remote sensing image shadow detection device and method has the characteristics of high robustness, less noise points and no manual marking, and improves the accuracy of the detected shadow image.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to a high-resolution remote sensing image shadow detection device and method. Background technique [0002] In recent years, with the rapid development of satellite sensing technology, the spatial resolution of high-resolution remote sensing images has been greatly improved, and the spatial resolution of some satellite remote sensing data has reached the sub-meter level. However, the existence of shadows in high-resolution remote sensing images greatly weakens the feature information of the image, blurs the spatial details of important objects, and brings great difficulties to subsequent image processing, analysis, and target recognition. [0003] In the prior art, the method of adaptive feature selection is usually used to detect shadow regions of high-resolution remote sensing images. The specific method is to first distinguish whether the input image is an RGB color image...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06K9/62
CPCG06T2207/20076G06T2207/10032G06F18/2411
Inventor 李树涛黄宇帆康旭东
Owner HUNAN UNIV
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