Linear discriminant analysis-based detection method for fy-3d infrared hyperspectral cloud

A linear discriminant analysis, FY-3D technology, applied in the field of satellite remote sensing, machine learning, can solve the problems of high computing cost, large image classification network, inconvenient to join the business assimilation system, etc., to achieve low cost, high accuracy, high practicality The effect of applying value

Active Publication Date: 2021-11-30
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

However, this method uses high-resolution cloud images as feature inputs, which also requires high computational costs
In addition, the typical image classification network is relatively large, which is not convenient to add to the business assimilation system of the numerical model.

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  • Linear discriminant analysis-based detection method for fy-3d infrared hyperspectral cloud
  • Linear discriminant analysis-based detection method for fy-3d infrared hyperspectral cloud
  • Linear discriminant analysis-based detection method for fy-3d infrared hyperspectral cloud

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specific Embodiment

[0085]In order to better understand the technical content of the present invention, the forecast results of the No. 10 typhoon in 2020 - "Fengshen" are specially cited. The typhoon developed into a typhoon on September 3 and tended to intensify further. It developed into a strong typhoon on September 4 and quickly developed into a super typhoon.

[0086] As shown in Figure 4(a) and Figure 4(b), it is the test result of the No. 10 typhoon "Poseidon" in 2020 at 16:40 (UT) on September 3. Figure 4(a) shows the observation results of MERSI L2 level cloud detection products at 16:40, where 0 indicates definite cloud, 1 indicates possible cloud, 2 indicates possible clear sky, 3 indicates definite clear sky, and 4 indicates undetermined. Figure 4(b) shows the forecast results of the linear discriminant analysis model. The input is the full-channel radiation data of 16:40 HIRAS, and the output is the cloud label corresponding to the HIRAS pixel, where 0 indicates a certain cloud and ...

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Abstract

The invention discloses a FY-3D infrared hyperspectral cloud detection method based on linear discriminant analysis, and relates to the technical field of satellite remote sensing. The present invention uses the traditional imager-based cloud detection method to match the cloud detection segment products of MERSI with HIRAS pixels to obtain HIRAS data with cloud labels to form a training data set, and then use the linear discriminant analysis algorithm to train the data set , in the training process, the grid search method is used to select the appropriate linear discriminant analysis algorithm hyperconstant, and the model parameters with the best generalization performance are obtained. Finally, the linear discriminant analysis cloud detection model obtained by training is used for the infrared hyperspectral of YF-3D Data cloud detection processing. The linear discriminant analysis cloud detection model of the invention can achieve a classification accuracy of 0.95, and the prediction speed is about 58 times that of the traditional method, showing good generalization performance.

Description

technical field [0001] The invention relates to the field of satellite remote sensing technology, in particular to a linear discriminant analysis algorithm in the field of machine learning, combined with a method for detecting clouds in the HIRAS field of view by using infrared hyperspectral data of the FY-3D satellite HIRAS instrument. Background technique [0002] Infrared hyperspectral data are important observational data for modern numerical weather prediction systems. The assimilation of infrared hyperspectral data is of great significance for effectively improving the level of numerical weather prediction. Water droplets and ice crystals in clouds can effectively absorb infrared radiation, making satellite infrared detectors unable to detect atmospheric and surface infrared radiation below the clouds. In addition, it is difficult for current radiative transfer observation operators to accurately simulate the radiative effect of clouds. Therefore, cloud pollution is ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06N20/00G01N21/3504G01W1/10
CPCG06N20/00G01N21/3504G01W1/10G06F18/22G06F18/241G06F18/214
Inventor 余意罗藤灵张卫民史华湘张琪刘运韬曹小群赵延来
Owner NAT UNIV OF DEFENSE TECH
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