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Multi-source remote-sensing image cloud detection method based on self-adaptive thresholds of evidence fusion

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

Active Publication Date: 2018-04-20
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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[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 self-adaptive thresholds of evidence fusion. Compared with the prior art, the method solves the defect thatit is difficult to carry out cloud detection through combination of multi-data-source fusion and the self-adaptive thresholds. The method includes the following steps: selection and preprocessing ofdata source images; initial-distribution estimation on two types of events of "cloud" and "non-cloud"; classification threshold initial-selection and confidence-interval determination; optimized classification based on order decision trees and evidence fusion; and output of cloud detection classification results. According to the method, a manner of combination work of a multi-wave-band optical sensor and a multi-angle polarization detector is adopted, multi-data-source data needing to be used in "cloud" detection are fused, the accuracy problem of "cloud" and "non-cloud" classification is effectively solved, and classification precision in cloud edge detection is improved.

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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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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