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Remote sensing image cloud detection method and system

A remote sensing image and cloud detection technology, applied in the fields of instruments, biological neural network models, character and pattern recognition, etc., can solve the problem of low cloud detection accuracy, and achieve the effect of optimizing the boundary, improving the detection effect, and improving the detection accuracy.

Pending Publication Date: 2020-08-18
AEROSPACE INFORMATION RES INST CAS
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Problems solved by technology

[0004] In order to solve the above-mentioned defects of the prior art, the object of the present invention is to provide a remote sensing image cloud detection method and system, the method and system are used to solve the problem of low cloud detection accuracy in existing images

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  • Remote sensing image cloud detection method and system
  • Remote sensing image cloud detection method and system
  • Remote sensing image cloud detection method and system

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Embodiment Construction

[0056] In order to better understand the present invention, the technical solutions provided by the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0057] The embodiment of the present invention proposes a remote sensing image cloud detection method, such as figure 1 As shown, it mainly includes the following steps:

[0058] S10. Carrying out sliding window slicing on the image to be detected;

[0059] S20. Input each image slice into the trained fully convolutional neural network model, and obtain the cloud detection result of each image slice;

[0060] S30. Splicing the cloud detection results of each image slice, and outputting the detection results of the image to be detected;

[0061] Among them, the fully convolutional neural network model is obtained by extracting the multi-scale context information of the cloud in the training set images and fusing the multi-scale context information of t...

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Abstract

The invention provides a remote sensing image cloud detection method and system. The method comprises the steps of performing sliding window slicing on a to-be-detected image; inputting each image slice into the trained full convolutional neural network model to obtain a cloud detection result of each image slice; splicing the cloud detection results of the image slices, and outputting a detectionresult of the to-be-detected image , wherein the full convolutional neural network model is based on extraction of multi-scale context information of cloud in a training set image; the method and thesystem provided by the invention not only can improve the detection precision of the multi-scale cloud, but also can improve the detection effect on small clouds by fusing the multi-scale context information of the cloud, and optimize the boundary of the cloud.

Description

technical field [0001] The invention relates to the technical field of signal and information processing, in particular to a cloud detection method and system for remote sensing images. Background technique [0002] Cloud detection aims to classify the pixels in the remote sensing image and judge whether the pixel is a cloud. It is an important part of optical remote sensing image processing and has important research and application value. On the one hand, the existence of cloudy remote sensing images will occupy the transmission bandwidth and storage space of the system, wasting channel and ground equipment resources. Cloud detection can provide a basis for eliminating such invalid data, relieve the pressure on remote sensing image transmission channels, and improve data utilization. . On the other hand, clouds are one of the elements of climatological research. By observing the distribution of clouds, we can not only provide data support for weather forecasts, but also m...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V20/13G06N3/045G06F18/214G06F18/253
Inventor 孙显付琨闫志远闫梦龙刁文辉李浩陈凯强柴亚捷
Owner AEROSPACE INFORMATION RES INST CAS
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