【摘要】 热红外卫星遥感技术能够准确地进行火山灰云监测。针对火山灰云热红外卫星遥感图像,通过利用主成分分析(Principal component analysis,PCA)方法解决了热红外卫星遥感数据具有波段相关性和数据冗余问题,并提高了火山灰云的监测精度。以MODIS热红外卫星遥感图像为例,利用PCA方法对火山灰云进行监测研究,并采用USGS标准光谱数据库对监测出的火山灰云光谱特征进行验证。结果表明:PCA方法能够有效地提取出火山灰云信息,且得到的火山灰光谱特征与USGS标准光谱数据库的光谱匹配度达到了81.65%,具有较高的精度。更多还原

【Abstract】 The thermal infrared satellite remote sensing technology can be used to accurately monitor the volcanic ash cloud.Aiming at the thermal infrared satellite remote sensing image of the volcanic ash cloud,the principal component analysis(PCA)is able to solve the inter-band correlation and data redundancy of the thermal infrared satellite remote sensing data,and improve the monitoring accuracy of volcanic ash cloud.Taking the MODIS thermal infrared satellite remote sensing image for example,this paper monitors the volcanic ash cloud by PCA method,and verifies the spectral characteristics of monitored volcanic ash cloud information by the United States Geological Survey(USGS)standard spectral database.The results show that: PCA method can obtain effectively the volcanic ash cloud information from the MODIS thermal infrared satellite remote sensing image;compared to the USGS standard spectral database,the spectral match of the monitored volcanic ash cloud spectral characteristics reaches 81.65%,and the precision degree is pretty high.更多还原