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Rapid daytime fog extracting method based on H8/AHI

A threshold method, ISCF- technology, applied in weather condition prediction, image data processing, measurement devices and other directions, can solve the problems of real-time accurate and fast extraction difficulties, etc., and achieve the effect of reliable and high-precision detection results.

Inactive Publication Date: 2018-09-21
CENT SOUTH UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0003] Due to the influence of remote sensing data time resolution, funds, equipment and other factors, looking at the research status of fog detection at home and abroad, it is still difficult to extract fog accurately and quickly in near real time

Method used

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  • Rapid daytime fog extracting method based on H8/AHI
  • Rapid daytime fog extracting method based on H8/AHI
  • Rapid daytime fog extracting method based on H8/AHI

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Embodiment Construction

[0048] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0049] 1. Use multi-day visible light data to synthesize the clear sky base map, remove the clear sky surface with the threshold method, and obtain the image I after removing the ground surface SCF ;

[0050] The experiment uses the time series image I of the H8 / AHI satellite with a spatial resolution of 2 km and a temporal resolution of 10 minutes from November 16, 2015 to December 1, 2015 B3 The data were synthesized into the clear sky basemap I R-现 and I R-前 ;

[0051] For the current moment I B3-现 Composite Basemap I of Data and Clear Sky R-现 Do poorly, the moment before I B3-前 Composite Basemap I of Data and Clear Sky R-前 Do the difference, and obtain the difference image I respectively 差值-现 and I 差值-前 ;

[0052] For the difference image, a fixed threshold (the threshold is set to 0.05) is used to quickly remove the ground surface, which is respectivel...

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Abstract

The invention discloses a rapid daytime fog extracting method based on H8 / AHI. The rapid daytime fog extracting method comprises the following steps: firstly, synthesizing a clear sky base map by using multi-day visible light data, and removing a clear sky earth surface by a threshold method by using reflectivity difference; removing snow and opaque ice cloud by a normalized snow index method; working out ratios of time series images before and after removal of the clear sky earth surface, the snow and the opaque ice cloud, and removing moving cloud with relatively large type change from the image by using a fixed threshold; through combination with differences in brightness and temperature of an infrared band, further removing the ice cloud, thin cirrus cloud and water cloud from the image by the threshold method; finally, synthesizing a clear sky base map by using multi-day infrared data, and removing low-level cloud from the image by the threshold method. The rapid daytime fog extracting method is a method capable of accurately, efficiently and rapidly achieving daytime fog extraction under the condition of current stationary satellite data with high temporal resolution.

Description

technical field [0001] The invention relates to the fields of environmental monitoring and weather forecasting, in particular to a method for quickly extracting daytime fog based on H8 / AHI. Background technique [0002] Fog is a disastrous weather phenomenon, which will reduce visibility, deteriorate air quality, and have a serious impact on traffic safety, especially in navigation, aviation and highway transportation. With the rapid development of satellite remote sensing technology, compared with traditional fog detection, remote sensing technology fog detection has obvious advantages, mainly in the aspects of fast data update, high timeliness, large detection range and low technical cost. Fog detection based on remote sensing technology mainly uses polar-orbiting satellite data (such as TERRA / MODIS, NOAA / AVHRR). There is a certain delay between 22:30 and 2:30 in the morning) and the fog generation period, and the time resolution (acquisition of 2-4 frames of data a day) ...

Claims

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Application Information

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IPC IPC(8): G06T7/41G06T7/62G06T5/10G01W1/10
CPCG06T5/10G06T7/41G06T7/62G01W1/10Y02A90/10
Inventor 李亚楠马慧云邹滨陶超冯徽徽冉印泽
Owner CENT SOUTH UNIV
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