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Noctilucent remote sensing monthly image synthesis method

A technology for image synthesis and remote sensing imagery, applied in image enhancement, image analysis, image data processing, etc., to solve the problems of annual night light data fluctuations in day and night DNB data, inability to use directly, and inability to provide monthly data in a timely manner.

Active Publication Date: 2021-10-29
北京四象爱数科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the problems in the prior art that the monthly, annual luminous data and day and night DNB data fluctuate greatly and cannot be directly used in major natural disasters, new crown epidemics and local wars, the present invention proposes a luminous remote sensing monthly image synthesis method

Method used

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  • Noctilucent remote sensing monthly image synthesis method

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preparation example Construction

[0047] A composite method for nighttime remote sensing monthly images such as figure 1 shown, including the following steps:

[0048] Step 1. For the area to be monitored, obtain the NPP / VIIRS day and night light data of a certain month; and find the corresponding administrative division data of the area;

[0049] Step 2. Preprocess the diurnal and luminous data, and cut them according to the administrative division data to obtain the luminous remote sensing raster data of the area to be monitored;

[0050] Specific steps are as follows:

[0051] Step 201, using ENVI software to convert the coordinate system of the luminous data into the WGS-84 geographic coordinate system, and resampling the spatial resolution of the data to 0.00416667°;

[0052] Step 202, mosaicking the luminous data according to the administrative division vector data, to ensure that the area to be monitored can be covered;

[0053] Step 203: Cutting the luminous data according to the administrative divisi...

Embodiment

[0084] Such as figure 2 As shown, the experiment of synthesizing the daily NPP / VIIRS luminous data in the Jiangsu, Zhejiang and Shanghai regions is used for illustration.

[0085] First, download all the daily NPP / VIIRS luminous data in January 2019 from the official website of the National Oceanic and Atmospheric Administration of the United States, and the data format is .h5; at the same time, download the monthly synthetic data in January 2019 from the Payne Institute.

[0086] Then, according to the coordinate system and resolution of the monthly data, format conversion, preprocessing and cropping are performed on the daily data to complete the conversion from the original DNB radiation value to the DN value.

[0087] Qualified data were screened through cloud judgment and manual visual interpretation, and 5 periods of better quality data including 20200119, 20200120, 20200129, 20200130, and 20200131 were retained. According to the vector data of the administrative divis...

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Abstract

The invention discloses a noctilucent remote sensing monthly image synthesis method, and belongs to the field of noctilucent remote sensing image processing. The method comprises the following steps: firstly, acquiring NPP / VIIRS day luminous data and administrative division data of a to-be-monitored area; secondly, preprocessing the day-degree noctilucent data, cutting according to administrative division data to obtain noctilucent remote sensing raster data of a to-be-monitored area, and converting an original DNB radiation value of each pixel into a corresponding pixel brightness value DN; screening out noctilucent data corresponding to K dates which are free of clouds and good in quality through cloud judgment and visual interpretation, selecting respective target reference areas from the noctilucent data, calculating the relative radiation correction coefficient of the noctilucent data of each date, and carrying out segmented compensation processing on the noctilucent data of different dates; and finally, carrying out monthly synthesis processing on the compensated luminous data of the K dates by adopting an averaging method to obtain a monthly luminous remote sensing image. According to the invention, the application capability of noctilucent data in major emergencies is improved, and the requirement of macroeconomic analysis is met.

Description

technical field [0001] The invention belongs to the field of luminous remote sensing image processing, and in particular relates to a method for synthesizing monthly images of luminous remote sensing. Background technique [0002] Night light remote sensing data is: use remote sensing satellites to obtain optical images of the earth's surface at night, and obtain night light data from cities, towns, etc. that contain persistent light sources that are not affected by sunlight. Night light data not only has the advantages of periodicity, macroscopicity and objectivity of remote sensing data, but also has been extensively studied by scholars at home and abroad, which proves that it can objectively reflect the trajectory of human activities and the development of regional economy. Therefore, nighttime light remote sensing has been widely used in the analysis of urban development and evolution, estimation of socioeconomic parameters such as GDP, fire monitoring, and fishery resea...

Claims

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Application Information

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IPC IPC(8): G06T5/50G06T5/00
CPCG06T5/50G06T2207/10032G06T2207/20221G06T2207/30181G06T5/80
Inventor 俞雷郗晓菲张薇姚勇航侯从强赵路明康曼
Owner 北京四象爱数科技有限公司