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Method for computing cloud cover in cloud atlas based on multi-layer unsupervised sparse learning network

A technology for learning network and computing methods, applied in the field of cloud image processing, can solve the problem of insufficient utilization of cloud image features, achieve good generalization performance, improve classification speed, and improve accuracy

Active Publication Date: 2018-01-02
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the above-mentioned background technology, provide a kind of method based on multi-layer unsupervised sparse learning network cloud image cloud amount calculation method, overcome the defect that the traditional neural network is not enough for cloud image feature utilization

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  • Method for computing cloud cover in cloud atlas based on multi-layer unsupervised sparse learning network
  • Method for computing cloud cover in cloud atlas based on multi-layer unsupervised sparse learning network
  • Method for computing cloud cover in cloud atlas based on multi-layer unsupervised sparse learning network

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Embodiment Construction

[0033] The present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0034] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0035] Such as figure 1 As shown, the layer-by-layer forward sparse learning method of the present embodiment of the multi-layer unsupervised feature extraction network satellite cloud image cloud amount calculation method includes the following steps:

[0036] Step 1: Training of multi-layer unsupervised sparse learning network model structure: set the neural network as a network with m hidden layers, using labeled samples (X i ,Y i ), X i is an n×n (10≤n≤50, n is a positive integer) image block, Show X i The classification of corresponding cloud (divided into thick cloud, thin cloud and clear sky in the present invention), i represents the i-th sample, i=1,2,3,..., p, p is the total numbe...

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Abstract

The invention relates to a method for computing cloud cover in cloud atlas based on a multi-layer unsupervised sparse learning network. The method comprises the following steps: performing unsupervised layer-by-layer feature coding on a picture by utilizing a forward layer-by-layer sparse automatic coding machine so as to obtain high-order semantic information; dividing the cloud atlas into thickcloud, thin cloud and clear sky by utilizing the high-order semantic information; and finally, computing the total cloud cover in the cloud atlas by utilizing a 'spatial correlation method'. Comparedwith the traditional satellite cloud atlas cover computing, the method disclosed by the invention is high in accuracy, and the sample training time and cloud cover computing time can be greatly reduced under the same hardware condition.

Description

technical field [0001] The invention belongs to the technical field of cloud image processing, and in particular relates to a method for calculating the amount of clouds in cloud images based on a multi-layer unsupervised sparse learning network. Background technique [0002] Clouds cover more than 50% of the earth's surface and are one of the important meteorological and climatic elements. In order to obtain accurate cloud amount distribution, it is necessary to detect and classify clouds on satellite cloud images first, and then perform cloud amount calculation on the basis of cloud classification. At present, the international satellite cloud calculation methods mainly include ISCCP method, CLAVR method, APOLLO method, etc. The ISCCP algorithm assumes that the observed radiation value comes from only one of the cloud and clear sky, and the pixel observed radiation value is compared with the clear sky radiation value Yes, if the difference between the two is greater than ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/08
Inventor 夏旻夏梦孔维斌翁理国董胜男王阳光
Owner NANJING UNIV OF INFORMATION SCI & TECH
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