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Shadow removal algorithm for aerial images of photovoltaic array unmanned aerial vehicle

A photovoltaic array and shadow removal technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of complex shadow removal effect and poor effect, and achieve the effect of excellent shadow removal effect and complete image information preservation

Active Publication Date: 2020-10-02
HEBEI UNIVERSITY
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Problems solved by technology

[0004] The purpose of the present invention is to provide a shadow removal algorithm for aerial images of photovoltaic array UAVs to solve the problems that the existing methods are relatively complicated or the shadow removal effect is not good

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  • Shadow removal algorithm for aerial images of photovoltaic array unmanned aerial vehicle
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  • Shadow removal algorithm for aerial images of photovoltaic array unmanned aerial vehicle

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Embodiment Construction

[0037] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings. The treatments not mentioned in the examples were all carried out according to the conventional treatments in this field.

[0038] Shadows are formed due to partial or total occlusion of light, and shadows can be divided into self-shadows and projections. Self-shadow refers to the part of the object that is not directly illuminated by strong light. The projection is formed in the background area where the light is blocked by the object. The projection is divided into umbra and penumbra. The umbra is the darkest part of the shadow, while the penumbra is the wide outer border whose intensity varies gradually between the penumbra and the non-shadow area.

[0039] Under natural conditions, the light source for the non-sh...

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Abstract

The invention provides a shadow removal algorithm for an aerial image of a photovoltaic array unmanned aerial vehicle, and the algorithm comprises the following steps: (a) a user inputs a shadow region and a non-shadow region in a stroke indication image, and constructs a KNN classifier to classify pixels according to the shadow region and the non-shadow region; (b) setting a threshold condition by using the OTSU, and detecting a shadow; (c) sampling the shadow boundary, determining the position of each sampling line by applying a bidirectional search algorithm, and removing abnormal samplinglines according to the lengths of the sampling lines and a DBSCAN algorithm; and (d) removing shadows through shadow proportion estimation and illumination recovery to obtain a shadow-free image. Compared with a superposition method and a YCbCr channel method, it is shown that the shadow removing effect of the algorithm is better than that of other two algorithms, image information is completely reserved, and a more real and natural shadow-free image can be obtained.

Description

technical field [0001] The invention relates to the technical field of inspection and maintenance of photovoltaic power plants, in particular to a shadow removal algorithm for aerial images of photovoltaic array drones. Background technique [0002] With the implementation of the sustainable development strategy, while the photovoltaic industry continues to develop and progress, the impact of various faults on its power generation efficiency is becoming more and more prominent. At this time, a fast and effective inspection method is very important. Since photovoltaic power plants are generally installed in environments with complex terrain, the manual inspection method is inefficient and has limited accuracy at this time, and the method of using drones for aerial inspection is widely used because of its fast and accurate inspection. in major photovoltaic power plants. However, in the process of identifying aerial images and locating fault points, shadows are often mistaken ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/136G06K9/62
CPCG06T7/136G06T2207/20028G06F18/22G06F18/2413G06T5/77G06T5/70Y02E10/50
Inventor 姜萍栾艳军田静代金超
Owner HEBEI UNIVERSITY
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