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Method used for normalizing multi-temporal infrared radiation of different sensors and applied to forest fire hotspot discrimination

A technology of infrared radiation and sensors, which is applied to forest fire alarms, fire alarms, and fire alarms that rely on radiation to achieve the effect of reducing radiation differences

Active Publication Date: 2018-12-18
CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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Problems solved by technology

Although there are some methods that can achieve better results, there are still many shortcomings. Therefore, a method that can further improve the radiation normalization effect is needed

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  • Method used for normalizing multi-temporal infrared radiation of different sensors and applied to forest fire hotspot discrimination
  • Method used for normalizing multi-temporal infrared radiation of different sensors and applied to forest fire hotspot discrimination
  • Method used for normalizing multi-temporal infrared radiation of different sensors and applied to forest fire hotspot discrimination

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Embodiment Construction

[0042] When using remote sensing to monitor forest fire hotspots, the NOAA sensor has high spatial resolution and wide coverage. When receiving forest fire hotspot energy, channel 3 has sensitive characteristics and can quickly monitor forest fire hotspots. However, when the saturation temperature is low, The 3 channels are easy to be saturated and cause false fire points, and it is difficult to judge again in terms of time. However, MODIS can make up for the defects of the AVHRR sensor itself due to its high spatial-temporal resolution and spectral resolution, and combine VIRR meteorological satellite data to establish a unified forest fire hotspot judgment benchmark, which can improve the identification accuracy of forest fire hotspots. Therefore, it is necessary to construct a radiation normalization model, which is mainly divided into two parts: multi-temporal infrared radiation normalization and infrared radiation normalization of different sensors. In the normalization o...

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Abstract

The invention relates to a method used for normalizing multi-temporal infrared radiation of different sensors and applied to forest fire hotspot discrimination. The method comprises the steps that a cloud influence pixel is removed; an NDVI value is calculated, and the vegetation area is extracted; infrared data of the different sensors are subjected to radiation normalizing to obtain infrared radiation normalized parameters of the different sensors; the infrared data of the different sensors are normalized to obtain normalized multi-temporal infrared images; infrared image data referenced bythe different sensors and to-be-normalized infrared image data are subjected to curve fitting and regression analysis to establish multi-temporal infrared radiation normalized models based on the different sensors; the infrared radiation normalized models of the different sensors are subjected to accuracy analysis; and accuracy analysis adopts a decision coefficient R2 and the root-mean square error (RMSE) to evaluate the accuracy of the multi-temporal infrared radiation normalized models. Through the normalization method, the problem of radiation difference of different time phases of infrared bands of the sensors can be solved, and the radiation standard is established.

Description

technical field [0001] The invention relates to the technical field of forest fire monitoring, in particular to a multi-temporal infrared radiation normalization method of different sensors applied to forest fire hotspot discrimination. Background technique [0002] Remote sensing earth observation has a history of several decades. Due to the different sensors used by spaceborne or airborne platforms, the image data obtained have different geometric, radiation and image characteristics. Existing remote sensing satellites are widely used in various applications such as meteorology, resources, ocean, and environmental disaster reduction, and have achieved industrial development in related fields. At the same time, they have accumulated remote sensing data for many years, recording changes in the earth's surface and the atmosphere. Making full use of these precious historical resources is of great historical significance for global climate research, economic and social developm...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08B17/00G08B17/12
CPCG08B17/005G08B17/125
Inventor 吴鑫谭三清王颖肖化顺
Owner CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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