Adaptive weight dark channel defogging algorithm for maritime aerial images of unmanned aerial vehicle

Abstract

The invention relates to the maritime aerial image defogging field and discloses an adaptive weight dark channel defogging algorithm for maritime aerial images of an unmanned aerial vehicle. The adaptive weight dark channel defogging algorithm for the maritime aerial images of the unmanned aerial vehicle fully considers the maritime aerial image defogging specificity, to be specific, the adaptive weight dark channel defogging algorithm for the maritime aerial images of the unmanned aerial vehicle does not only consider the effective defogging for a maritime specific object but also considers the fast, effective and correct defogging for a sea surface region in an image. The adaptive weight dark channel defogging algorithm combines foggy image quality degradation features with specific features of the sea area in the maritime aerial image, abandons a traditional defogging method, and fully considers the specificity of the sea area in the maritime foggy image. The adaptive weight dark channel defogging algorithm for the maritime aerial images of the unmanned aerial vehicle mainly includes that acquiring maritime aerial images of the unmanned aerial vehicle, performing dark channel defogging algorithm, performing adaptive weight algorithm, and defogging the maritime aerial images of the unmanned aerial vehicle. The adaptive weight dark channel defogging algorithm for the maritime aerial images of the unmanned aerial vehicle realizes the fast defogging for the maritime aerial images of the unmanned aerial vehicle and has broad prospect in the maritime or island aerial monitoring aspect.

Description

technical field [0001] The present invention relates to a defogging technology based on unmanned aerial vehicle aerial images in the field of image processing, in particular to an adaptive weight dark primary color defogging algorithm based on unmanned aerial aerial images. Background technique [0002] Due to the advantages of UAVs such as controllability, portability, low cost, low loss, reusability, low risk, and wide application fields, UAV applications have been widely developed in recent years. The integration of UAV and remote sensing technology makes UAV more automated and intelligent, and due to the characteristics of UAV, UAV aerial photography has the characteristics of high timeliness and high resolution, which further expands its application field. However, due to the local weather conditions and other reasons in the process of drone aerial photography, the aerial photography images of drones are often blurred, with mist and other phenomena, which degrades the q...

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Problems solved by technology

[0004] However, in the practical application of image defogging algorithms, especially for the dehazing processing of unmanned aerial vehicle images at sea, these methods have shown different limitations sex

Because in the actual aerial photography of drones at sea, the impact of sea fog is particularly serious. Sea fog is a dangerous weather phenomenon, and its interaction with fog seriously affects the visual aid of navigation. The system was unable to obtain a clear image to provide data

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