Method for automatically evaluating color quality of image during aerial photography in real time

An aerial image and aerial photography technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as untimely, and achieve the effect of fast processing speed, improved timeliness, and strong timeliness

Inactive Publication Date: 2012-08-15
WUHAN UNIV
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Problems solved by technology

[0011] In view of the above problems, the present invention proposes a method for fast real-time automatic evaluation of image color quality in the process of aerial photography. This method involves two parts, i.e. shadow detection module and cloud detection module. The purpose of the invention is to Evaluate the color quality of the newly acquired aerial images in real time. For the images detected in real time that do not meet the quality requirements, timely reshooting measures will be taken to obtain images that meet the requirements, so as to avoid re-flying after the fact that the problem is not discovered in time The cost, efficiency and other issues caused by

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  • Method for automatically evaluating color quality of image during aerial photography in real time
  • Method for automatically evaluating color quality of image during aerial photography in real time
  • Method for automatically evaluating color quality of image during aerial photography in real time

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[0056] The technical solution of the present invention will be described in detail below in conjunction with the drawings and embodiments. The implementation process of the embodiment of the present invention is:

[0057] First, the aerial image A obtained by aerial photography is resampled to obtain two aerial images with different resolutions, which are respectively recorded as aerial image B and aerial image C. The resolution of aerial image B is greater than that of aerial image C.

[0058] According to the establishment principle of the pyramid image, on the basis of the original image, according to the size of the zoom factor relationship n between the image to be processed and the original image, and by taking the average value of n×n pixels on the original image, a low-resolution image can be obtained. image. By setting different n values, two images with different resolutions can be obtained: the low-resolution image C can be used to obtain the characteristic thresho...

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Abstract

The invention provides a method for automatically evaluating the color quality of an image during aerial photography in real time. The method includes re-sampling an aerial image obtained by aerial photography at first; acquiring two aerial images with different resolution rates; realizing shadow detection and cloud detection; evaluating the color quality of the image according to shadow coverage and cloud coverage which are obtained by the shadow detection and the cloud detection; and outputting a quality evaluation report. The method is high in timeliness and automation degree and fast in processing speed, and full-automatic detection is supported. In addition, different threshold acquisition methods are provided for the shadow detection and the cloud detection, detection precision can be effectively improved, and automation and precision are guaranteed.

Description

technical field [0001] The invention belongs to the application field of remote sensing images, and in particular relates to a method for real-time, automatic and rapid quality evaluation of acquired images on board during aerial photography. Background technique [0002] Aerial image color quality assessment mainly includes two aspects: shadow and cloud real-time detection. Automatic shadow detection and automatic cloud detection are the key technologies for image color quality assessment. The complexity of the detection algorithm directly determines the speed of quality assessment and affects the overall performance of the on-board real-time processing system. The two modules are carried out independently without interfering with each other, and the detection methods are independently selected. [0003] Remote sensing image shadow detection algorithms are mainly divided into model-based and shadow feature-based methods. The model-based method is mainly based on the prior...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/40
Inventor 万幼川高贤君郑顺义李健
Owner WUHAN UNIV
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