AVHRR (Advanced Very High Resolution Radiometer sensor) sensor multi-temporal infrared radiation normalization method applied to discrimination of forest fire hotspot

A technology of infrared radiation and sensors, applied in the direction of sensing radiation from gas/flame, radiation pyrometry, optical radiation measurement, etc., to achieve the effect of reducing the difference in infrared radiation

Active Publication Date: 2018-11-02
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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  • AVHRR (Advanced Very High Resolution Radiometer sensor) sensor multi-temporal infrared radiation normalization method applied to discrimination of forest fire hotspot
  • AVHRR (Advanced Very High Resolution Radiometer sensor) sensor multi-temporal infrared radiation normalization method applied to discrimination of forest fire hotspot
  • AVHRR (Advanced Very High Resolution Radiometer sensor) sensor multi-temporal infrared radiation normalization method applied to discrimination of forest fire hotspot

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Embodiment Construction

[0038] When using remote sensing to monitor forest fire hotspots, the AVHRR 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 forest fire hotspots, and it is difficult to judge again in terms of time. The higher temporal and spatial resolution and spectral resolution of MODIS can make up for the defects of the AVHRR sensor itself, and combined with the VIRR meteorological satellite data to establish a unified forest fire hotspot judgment benchmark, it 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 norma...

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Abstract

The invention relates to an AVHRR (Advanced Very High Resolution Radiometer sensor) sensor multi-temporal infrared radiation normalization method for discrimination of a forest fire hotspot. The method comprises the following steps of removing a cloud formation influence image element; calculating an NDVI (Normalized Difference Vegetation Index) value, and extracting a vegetation area; performingradiance calibration on infrared data of an AVHRR sensor; selecting reference infrared image data to perform curve fitting with a to-be-normalized infrared image data to obtain an infrared radiation normalized parameter, determining an infrared radiation normalized model to form a new infrared radiation normalized image map. Through the normalized method, the problem of radiation difference of different time phases of an infrared channel of the AVHRR sensor is solved, a radiation standard is established to construct an AVHRR sensor multi-temporal infrared radiation normalization model. According to the infrared radiation normalization model established by the invention, the radiation difference influence can be better eliminated, the time difference of a satellite sensor is compensated andthe monitoring accuracy degree of infrared radiation of the AVHRR sensor on ground object variations is improved.

Description

technical field [0001] The invention relates to the technical field of forest fire monitoring, in particular to an AVHRR sensor multi-temporal infrared radiation normalization method applied to forest fire hot spot 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 development, a...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G01J5/00
CPCG01J5/00G01J5/0018G01J2005/0077G06V20/188G06F18/22
Inventor 张贵周璀肖化顺杨志高
Owner CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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