混合系统模型用于使用远程传感多谱区域半自动分类进行风磨损细分
Marta Terrados-Cristos1, Francisco Ortega-Fernández1, Marina Díaz-Piloñeta1
1Project Engineering Department, University of Oviedo, 33004, Oviedo, Spain.
Heliyon
|October 9, 2023
概括
本研究介绍了一种使用卫星图像和历史数据绘制风磨损脆弱性的混合模型. 这些发现有助于在暴露位置设计更有弹性的结构.
科学领域:
- 环境科学 环境科学
- 材料科学 材料科学 材料科学
- 地理空间分析是什么
背景情况:
- 风能磨损,由风运输的颗粒驱动,降解结构,对暴露位置的基础设施,特别是可再生能源设施的日益关注.
- 金属结构非常容易受到风吹沙粒的降解.
- 描述偏远的,脆弱的地点是具有挑战性的,需要遥感和卫星数据.
研究的目的:
- 确定和划定易受风磨损影响的地理区域.
- 开发一个混合模型,整合历史数据和卫星图像分类,用于脆弱性评估.
- 为了解材料磨损并优化弹性结构设计做出贡献.
主要方法:
- 创建一个强大的科学数据库.
- 获取和管理长期卫星和历史数据.
- 多光谱卫星图像的半自动分类和模型的监督学习技术.
主要成果:
- 一个混合模型被开发和验证,证明了高精度 (R2 = 0.9922).
- 该方法有效地识别和划分风磨损易受伤害的区域.
- 该方法作为评估材料降解风险的通用方法.
结论:
- 开发的混合模型是识别风磨损热点的宝贵工具.
- 这项研究增强了对粒子诱导材料磨损的知识.
- 这些发现支持优化敏感地区的弹性基础设施设计.
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