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Multi-source Remote Sensing Image Cloud Detection Method Based on Evidence Fusion Adaptive Threshold

An adaptive threshold and evidence fusion technology, applied in the field of remote sensing image processing, can solve problems such as cloud detection of difficult data sources

Active Publication Date: 2020-02-14
HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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Problems solved by technology

[0006] The purpose of the present invention is to solve the defect in the prior art that it is difficult to perform cloud detection through multi-data source fusion and adaptive threshold, and provide a multi-source remote sensing image cloud detection method based on evidence fusion adaptive threshold to solve the above problems

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Embodiment Construction

[0123] In order to have a further understanding and understanding of the structural features of the present invention and the achieved effects, the preferred embodiments and accompanying drawings are used for a detailed description, as follows:

[0124] Such as figure 1 As shown, a kind of multi-source remote sensing image cloud detection method based on evidence fusion adaptive threshold of the present invention comprises the following steps:

[0125] The first step is the selection and preprocessing of data source images. Select the first type and the second type of data source images, and perform preprocessing. Here, the wave bands of the first and second data sources are applied to the case where the underlying surface is land as an example. If the underlying surface is ocean, the wavelength of the data source needs to be selected separately, but the cloud detection method proposed by the present invention is the same. Applicable, that is, the method itself has nothing t...

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Abstract

The invention relates to a multi-source remote sensing image cloud detection method based on evidence fusion adaptive threshold, which solves the defect that it is difficult to jointly perform cloud detection through multi-data source fusion and adaptive threshold compared with the prior art. The present invention includes the following steps: selection and preprocessing of data source images; estimation of primary distribution of "cloud" and "non-cloud" two types of events; primary selection of classification threshold and determination of trust interval; optimization classification based on sequential decision tree and evidence fusion ; Output cloud detection and classification results. The present invention adopts the joint working mode of multi-band optical sensor and multi-angle polarization detector to fuse the multi-data source data needed in the "cloud" detection, effectively solving the problem of the accuracy of "cloud" and "non-cloud" classification , to improve the classification accuracy in cloud edge detection.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a multi-source remote sensing image cloud detection method based on evidence fusion adaptive threshold. Background technique [0002] In the process of satellite imagery imaging, cloud occlusion is the main factor leading to serious degradation of image quality. Although clouds generally have higher albedo and lower temperature compared to ground objects, it seems that a simple window threshold can be used to distinguish them. However, various cloud forms such as cirrus clouds, cumulus clouds, watery drop clouds, ice clouds, etc., make the reflectance of clouds and ground objects lack sufficient contrast. Environmental evolution caused by human activities, the greenhouse effect and aerosols exacerbate changes in the reflective effects of clouds. Similarly, ground coverage also has phenomena such as spectral distortion and ecological evolution such as "sa...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46
CPCG06V20/13G06V10/50
Inventor 方薇乔延利张冬英易维宁黄红莲杜丽丽
Owner HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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