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Daytime land radiation fog remote sensing monitoring method based on object-oriented classification

A remote sensing monitoring, object-oriented technology, applied in the field of surveying and mapping remote sensing, can solve the problems of missed detection, medium and low cloud and fog, difficult to distinguish spatial resolution, etc.

Inactive Publication Date: 2014-07-16
CHANGJIANG RIVER SCI RES INST CHANGJIANG WATER RESOURCES COMMISSION
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  • Abstract
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  • Application Information

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Problems solved by technology

[0012] The present invention provides a daytime land radiation fog remote sensing monitoring method based on object-oriented classification, which can solve the problems in the prior art of land radiation fog monitoring that it is difficult to distinguish between medium and low clouds and fog, and low spatial resolution leads to missed detection.

Method used

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  • Daytime land radiation fog remote sensing monitoring method based on object-oriented classification
  • Daytime land radiation fog remote sensing monitoring method based on object-oriented classification
  • Daytime land radiation fog remote sensing monitoring method based on object-oriented classification

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Embodiment 1

[0087] This case is the MODIS data at 03:20 on December 25, 2006 (UTC). This time, the heavy fog lasted from December 24 until December 28, and the fog covered Jiangsu, Anhui, and Shandong provinces. Such as Figure 14 shown, where Figure 14 (a) is a false-color composite image synthesized with MODIS6, 2, 1 bands, Figure 14 (b) is the NDFI cloud and fog feature parameter image map proposed in step (2) of the present invention, Figure 14 (c) is the distribution map of each homogeneous unit obtained by segmentation in step (4) of the present invention, Figure 14 (d) is the fog area distribution map (gray area) obtained after cloud and fog judgment combined with surface meteorological observation data, in which triangles represent the distribution map of measured stations where no fog was observed provided by Hubei Meteorological Bureau, and dots represent observed fog Distribution map of the measured sites of fog.

[0088] Table 1: Accuracy Evaluation Table of Embodimen...

Embodiment 2

[0092] This case is the MODIS data at 02:30 on December 20, 2007 (UTC). The area covered by the heavy fog this time includes Hebei Province, Beijing City, Tianjin City, Shandong Province, and Jiangsu Province. Such as Figure 15 as shown, Figure 15 (a) is a false-color composite image synthesized with MODIS6, 2, 1 bands, Figure 15 (b) is the NDFI cloud and fog feature parameter image map proposed in step (2) of the present invention, Figure 15 (c) is the distribution map of each homogeneous unit obtained by segmentation in step (4) of the present invention, Figure 15 (d) is the fog area distribution map (gray area) obtained after cloud and fog judgment combined with surface meteorological observation data, in which triangles represent the distribution map of measured stations where no fog was observed provided by Hubei Meteorological Bureau, and dots represent observed fog Distribution map of the measured sites of fog.

[0093] Table 2: Accuracy Evaluation Table of Em...

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Abstract

The invention provides a daytime land radiation fog remote sensing monitoring method based on object-oriented classification. The method comprises the steps of selecting EOS / MODIS satellite remote sensing data with the highest spatial resolution being 250 m, constructing cloud and fog feature parameters through the combination of atmospheric radiation transmission model simulation and statistic of a large number of the EOS / MODIS satellite remote sensing data, and selecting a suitable remote sensing image partitioning algorithm to conduct image partitioning on the cloud and fog feature parameters; calculating spectral signatures, textural features, geometrical features and cloud and fog feature parameter feature values of homogeneous units obtained through partitioning one by one, training the attributes of the homogeneous units constructed after the image partitioning on the basis of ground actual measurement meteorological observation data and by the adoption of a decision tree classification algorithm, and constructing the daytime land radiation fog remote sensing monitoring method for fog detection. According to the daytime land radiation fog remote sensing monitoring method, the problem that low clouds and fog are hard to distinguish due to the similarity of spectra and textures can be effectively avoided.

Description

technical field [0001] The invention relates to the technical field of surveying and mapping remote sensing, in particular to a remote sensing monitoring method for daytime land radiation fog based on object-oriented classification. Background technique [0002] Fog is a serious disastrous weather, which has been listed as one of the top ten disastrous weathers in the world. On January 4, 2014, China's National Disaster Reduction Office and the Ministry of Civil Affairs notified the natural disaster situation in 2013, and smog was included in the natural disaster situation by the country for the first time. In 2013, the central and eastern regions of my country suffered from serious smog, and smog weather occurred frequently and frequently. Among them, the smoggy weather is particularly severe in January-March and September-December. According to the Meteorological Industry Standard of the People's Republic of China: Fog Grades and Forecasts, fog is a weather phenomenon in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01W1/00
Inventor 文雄飞李喆谭德宝陈蓓青申邵洪陈鹏霄向大享张穗程学军叶松汪朝辉
Owner CHANGJIANG RIVER SCI RES INST CHANGJIANG WATER RESOURCES COMMISSION
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