2D Hyperspectral Satellite Image-based Detection of Forest Fires

基于二维高光谱卫星图像的森林火灾检测

• 批准号: 517957-2017
• 负责人: Toews, Matthew
• 金额: $ 1.82万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=639601
• 关键词: 2D; Hyperspectral; Satellite; Image; based

This proposal will research and develop novel methods for automatic detection of forest fires from satelliteimage data. A machine learning approach will be adopted, whereby a detection system will be trained torecognize image patterns characteristic of forest fires, based on forest fire labels provided by an expert humanand hyperspectral 2D image data acquired by satellite. The system will be evaluated using standard detectionaccuracy metrics, e.g. detection specificity and sensitivity and the area-under-the-curve (AUC) measure.

这项提议将研究和开发从卫星图像数据中自动探测森林火灾的新方法。将采用机器学习方法，训练探测系统，根据专家提供的森林火灾标签和卫星获取的高光谱二维图像数据，识别森林火灾的图像特征。该系统将使用标准检测准确度指标进行评估，例如检测特异度和灵敏度以及曲线下面积(AUC)衡量。