一种基于高光谱遥感的机场跑道盐度场感知方法及系统
By constructing humidity performance, light perception accuracy coefficient, and hyperspectral salinity significance, and combining changes in spectral reflectance with changes in salinity gradient, the problem of inaccurate salinity assessment caused by differences in humidity and roughness at different remote sensing points on airport runways was solved, achieving accurate perception and early warning of the salinity field.
CN122238240BActive Publication Date: 2026-07-17TONGJI UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TONGJI UNIV
- Filing Date
- 2026-05-20
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Differences in humidity and roughness at different remote sensing points on the airport runway lead to inconsistent spectral accuracy, affecting the accuracy of salinity assessment.
Method used
By constructing humidity performance, light perception accuracy coefficient, spectral importance, and hyperspectral salinity significance, and combining the matching degree between spectral reflectance changes and salinity gradient changes, high salinity early warning level is obtained, thus realizing salinity field early warning.
Benefits of technology
It improves the accuracy of airport runway salinity field sensing, ensuring the accuracy of salinity assessment and the timeliness of early warning, thus avoiding takeoff and landing accidents caused by salinity differences.
✦ Generated by Eureka AI based on patent content.
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Figure CN122238240B_ABST
Abstract
本发明涉及盐度场感知技术领域，提出了一种基于高光谱遥感的机场跑道盐度场感知方法及系统，包括：采集跑道各遥感点位的实时高光谱数据、湿度数据和地势高程数据，以及跑道材料在不同盐度梯度下的标准高光谱数据；构建遥感点位在采集时刻的光感知精度系数和遥感点位的盐度影响的显著度；对高光谱数据进行波段分离，获取分析波段的波段敏感权重，获取采集时刻的高光谱盐度显著度和高盐预警度；根据高盐预警度，实现机场跑道盐度场预警。本发明可提升机场跑道盐度场感知的精度。
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