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Automatic remote sensing image haze detection method

A technology of remote sensing images and detection methods, which is applied in image analysis, image enhancement, image data processing, etc., and can solve problems such as mistaking highlighted ground objects for thick clouds

Inactive Publication Date: 2015-12-09
BEIJING NORMAL UNIVERSITY
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Problems solved by technology

However, the severe problem of mistaking highlighted features for thick clouds remains unsolved

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  • Automatic remote sensing image haze detection method
  • Automatic remote sensing image haze detection method
  • Automatic remote sensing image haze detection method

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Embodiment Construction

[0032] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, specific implementations of the present invention are now described.

[0033] The present invention provides a fully automatic remote sensing image cloud detection method, which uses a cloud-free image obtained in different periods as a reference, and establishes the HOT preliminary cloud detection result, HOT and the multivariate regression of the difference image between cloudless and cloudy images As a result, based on the above results and another multiple regression result of the cloudy image, and the iterative steps of the above process, the result of cloud and fog detection is finally obtained. This method effectively overcomes the problem that the traditional cloud thickness detection methods such as HOT and BSHTI cannot suppress the noise of high-brightness objects, especially realizes the effective distinction between ice and snow and clouds and fo...

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Abstract

The invention provides an automatic remote sensing image haze detection method. The method comprises the steps: taking images without clouds as the reference, wherein the images are acquired in different time; establishing an HOT preliminary cloud detection result, a multi-element regression result between the HOT and a difference image between an image without clouds and an image with clouds, and a one more multi-element regression result based on the above results and the image with clouds; performing repeated iteration of the above processes; and then obtaining the final result for haze detection. The automatic remote sensing image haze detection method effectively overcomes the problem that traditional HOT (Haze Optimized Transformation) and BSHTI (Background Suppressed Haze Thickness Index) cloud thickness detection methods cannot suppress the noise of highlighted ground features, and especially can effectively distinguish ice and snow from haze, and provides an effective method for detecting the haze thickness for large amount of cloud contamination remote-sensing images.

Description

technical field [0001] The invention relates to a cloud detection method using remote sensing images, in particular to a cloud detection method that can automatically and successfully suppress highlight noise and accurately extract cloud information for remote sensing cloud pollution images. Background technique [0002] With the development of satellite remote sensing technology, remote sensing technology is more and more widely used in weather analysis, military, agriculture, environmental monitoring, energy survey, global research and regional planning and other fields. At present, due to the limitations of remote sensing technology itself and people's understanding, there are two problems to be solved in the practical application of remote sensing technology: one is that the synchronization of data processing and real-time detection cannot meet the practical requirements; the other is that the processing of remote sensing images cannot meet the practical requirements. Re...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/10032G06T2207/30192
Inventor 陈学泓杨德地曹鑫陈晋崔喜红
Owner BEIJING NORMAL UNIVERSITY
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