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Cloud image detection method

An image detection and cloud layer technology, applied in the field of remote sensing, can solve the problems of difficult and accurate detection of high-altitude cirrus clouds, and achieve the effect of meeting real-time requirements, high computing efficiency, and reducing requirements.

Active Publication Date: 2017-10-20
BEIJING INST OF ENVIRONMENTAL FEATURES
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a cloud image detection method based on energy, texture and motion characteristics, so as to solve the problem that high-altitude cirrus clouds are difficult to be accurately detected in the prior art

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Embodiment Construction

[0019] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0020] Aiming at the problem that the existing high-altitude cirrus clouds are difficult to be accurately detected, the invention provides a cloud layer image detection method based on energy, texture and motion characteristics.

[0021] like figure 1 As shown, the embodiment of the present invention proposes a cloud layer image detection method based on energy, texture and motion characteristics, which is applied to the detection device and specifically includes:

[0022] Step 1: The detection device receives N frames of remote sensing images, which are recorded as remote sensing image sequences, and this remote sensing image sequence can be used by the function f n (x, y), where n=1,..., N is the frame number, and N is the total number of frames. E.g...

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Abstract

The invention provides a cloud image detection method. The method comprises the following steps of: receiving a remote sensing image sequence which comprises N frames of remote sensing images by a detection device; extracting energy features of remote sensing images from the remote sensing image sequence by the detection devices so as to obtain an energy saliency map; calculating a luminance contrast of the energy saliency map by the detection device so as to obtain a luminance contrast image; extracting texture features of the luminance contrast map by the detection device so as to obtain a texture feature map; and carrying out inter-frame association on the texture feature map by the detection device by utilizing image motion information, and extracting an interested area to obtain a cloud detection result. According to the method, the requirements for sensors are reduced, and the positions and sizes of cirrus clouds can be correctly detected at the same time; and meanwhile, the adopted algorithm is simple and high in calculation efficiency and is capable of satisfying the requirement for instantaneity.

Description

technical field [0001] The invention relates to the technical field of remote sensing, in particular to a cloud image detection method based on energy features, texture features and motion features. Background technique [0002] In recent years, remote sensing technology has been widely used in the fields of modern military affairs, space-based detection and meteorological analysis, and remote sensing image interpretation is one of the key technologies of remote sensing technology. Remote sensing image interpretation refers to the comprehensive analysis based on the geometric features and physical properties of the image, so as to reveal the quality and quantity characteristics of objects or phenomena, as well as the relationship between them, and then study its occurrence and development process and distribution rules. That is to say, based on the image features, the properties of the objects or phenomena they represent are recognized. False alarm sources have a great infl...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/46
CPCG06V20/13G06V10/25G06V10/462
Inventor 王俊刘延利彭真明王晓阳杨春平李霞
Owner BEIJING INST OF ENVIRONMENTAL FEATURES
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