Photovoltaic power station aerial image dodging processing method based on machine vision

Abstract

The invention relates to the technical field of artificial intelligence, computer vision and aerial image processing, in particular to a photovoltaic power station aerial image dodging processing method based on machine vision. The method includes: using an unmanned aerial vehicle to shoot a large number of visible light images with overlapped parts; extracting feature points of a to-be-spliced image to perform image registration, establishing a mathematical transformation model to perform same coordinate transformation, stitching the to-be-spliced image to generate a larger canvas image, and fusing the larger canvas image to obtain a spliced and reconstructed photovoltaic power station ground image; carrying out semantic segmentation on a photovoltaic power station region image, obtaining semantic categories in the image, and obtaining binary images of different semantics; multiplying the binary images with different semantics by the original image to obtain visible light images with different semantics, and calculating a brightness standard deviation image; and constructing a loss function to optimize the neural network, obtaining an optimized background image, and carrying out dodging processing on the spliced and reconstructed photovoltaic power station image according to the optimized background image.

Description

technical field [0001] The invention relates to the technical fields of artificial intelligence, computer vision and aerial image processing, in particular to a method for uniform light processing of aerial images of photovoltaic power plants based on machine vision. Background technique [0002] Due to the large area of ​​the photovoltaic power station, the acquired image cannot form a complete image when aerial photography is carried out under the condition of large focal length. The existing technology is a complete image obtained by splicing a large number of aerial images. Affected by the acquisition time of optical aerial remote sensing images, external lighting conditions and other internal and external factors during shooting, there are different degrees of color differences in the images of photovoltaic power plants, which will affect subsequent image processing or other factors to varying degrees. Effects of using images in image engineering applications. Therefor...

AI Technical Summary

Problems solved by technology

[0003] There are often multiple problems such as inconsistent brightness, hue, and contrast between images, and a single dodging algorithm is difficult to solve all problems

When dealing with large-scale images, when the main features in the image are inconsistent, the dodging effect of the dodging algorithm is not ideal. After dodging, it is difficult to achieve basically the same color tone and brightness

For spliced ​​images, the uneven distribution of hue and contrast is irregular, and the brightness distribution is discontinuous. At present, there are relatively few studies on such problems. Therefore, more in-depth research is needed on the uniform light processing of spliced ​​images.

Images