一种基于马氏距离的林火识别及火势反演方法

By using a method for forest fire identification and fire intensity inversion based on Mahalanobis distance, the problem of lack of physical meaning and universality of forest fire identification indicators in existing technologies is solved. This method realizes the independent parameterization of forest fire intensity and temperature, and provides a universal quantitative evaluation method to support the early detection and timely suppression of forest fires.

CN118823453BActive Publication Date: 2026-07-17JILIN UNIVERSITY

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JILIN UNIVERSITY
Filing Date
2024-06-27
Publication Date
2026-07-17

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Abstract

本发明涉及一种基于马氏距离的林火识别及火势反演方法,从林火辐射物理机理出发,构建林火辐射光谱模型,将林火的火势与温度转化为相互独立的参数;采用马氏距离将多波段的林火辐射光谱信息综合为一个指标,利用林火与背景地物样品在光谱空间中的分布特征,根据背景地物样品马氏距离服从F分布的统计特征,设定显著性阈值即可实现林火的识别;采用马氏距离指标衡量林火的光谱变异,利用构建的马氏距离与林火火势的简化物理模型,即可实现林火火势反演,实现林火火势的定量评价,为林火的早期发现和及时扑救提供有益信息。本发明基于马氏距离的林火识别及火势反演方法具有物理意义,不限于任何遥感数据与研究区,具有更广泛的应用价值。
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