Method for automatically extracting small and medium-sized burned area based on enhanced combustion index

A combustion index and fire trace technology, which is applied in image enhancement, image data processing, image analysis, etc., can solve the problems of fire scene identification omission, plaque misjudgment, fire scene peripheral interference, etc., and achieve high identification accuracy and small calculation amount , Good extraction accuracy and stability

Pending Publication Date: 2022-05-13
浙江省气候中心 +1
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Machine learning classification and unsupervised classification methods combined with Sentinel-1 SAR images can automatically locate the burnt area and the degree of b

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  • Method for automatically extracting small and medium-sized burned area based on enhanced combustion index
  • Method for automatically extracting small and medium-sized burned area based on enhanced combustion index
  • Method for automatically extracting small and medium-sized burned area based on enhanced combustion index

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[0055] The following will be combined with the accompanying drawings in the embodiments of the present invention, the technical solution in the embodiments of the present invention will be described clearly and completely, it is clear that the embodiments described are only a part of the embodiment of the present invention, not all embodiments. Based on embodiments in the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative work, are within the scope of protection of the present invention.

[0056] To be clear, when a component is said to be "fixed" to another component, it can be directly on top of another component or it can also exist in the center. When one component is considered to be "connected" to another component, it can be either directly connected to another component or there may be a centered component at the same time. When a component is considered to be "set on" another component, it can be set directly on...

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Abstract

The invention discloses a small and medium-sized burned area automatic extraction method based on an enhanced combustion index, and the method comprises the steps: determining a fire site according to the azimuth angle of the fire site relative to the position of an observer and the visual distance between the fire site and the observer, and obtaining the images of the fire site before and after a disaster; data cloud mask processing is carried out on the obtained fire image through cloud mask identification, so that the influence of a large amount of dense clouds is removed, and then an enhanced normalized combustion index is constructed, so that a burned area presents a highlight value, and the highlight value is obviously different from surrounding background pixels; and performing an Ostu automatic segmentation algorithm on the fuzzified ENBR image data to complete the extraction of the burned area. According to the method, the data features of the burned land are automatically extracted based on ENBR and OSTU algorithms, and compared with a traditional dNBR and BAI manual threshold judgment method, the method has better extraction precision and stability, the extraction result can be analyzed, better area and threshold self-adaptive capacity is achieved, and judgment precision is high.

Description

technical field [0001] The invention relates to the technical field of fire data analysis, in particular to an automatic extraction method for small and medium-sized fire traces based on an enhanced combustion index. Background technique [0002] Forest fires seriously affect the land surface ecological environment and carbon balance, resulting in air pollution and carbon emissions, reduction of vegetation carbon sequestration, and global climate change. Estimation and other important data sets for post-disaster assessment. High-temporal-spatial resolution satellite remote sensing technology has the advantages of high efficiency and labor-saving. It is widely used in forest fire monitoring and feature extraction of burned areas. The extraction of burned areas involves spectral index, supervised classification, and time-series image segmentation. However, most of the current methods are based on supervision and semi-supervision, and it is difficult to realize automatic extrac...

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Application Information

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IPC IPC(8): G06T7/11G06T7/136G06T7/90G06V20/10G06T5/30
CPCG06T7/11G06T7/136G06T5/30G06T7/90G06T2207/10048
Inventor 贺忠华李少虹樊高峰王宁杭何月方贺张育慧潘颖瑛梁君瑛
Owner 浙江省气候中心
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