基于热红外卫星遥感的火山灰云监测研究
|
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。
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.
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.
引文
[1]Luke P F,Andrew J L H,Robert W.Improved identification of volcanic features using Landsat 7 ETM+[J].Remote Sensing of Environment,2001,78(1-2):180-193.
[2]Webley P,Mastin L.Improved prediction and tracking of volcanic ash clouds[J].Journal of Volcanology and Geothermal Research,2009,186(1-2):1-9.
[3]李继苹.火山灰对航空飞行的危害及咨询服务[J].空中交通管理,2002(6):41-42.
[4]Gangale G,Prata A J,Clarisse L.The infrared spectral signature of volcanic ash determined from high-spectral resolution satellite measurements[J].Remote Sensing of Environment,2010,114(2):414-425.
[5]Mccarthy E B,Bluth G J S,Watson I M,et al.Detection and analysis of the volcanic clouds associated with the 18 and 28 August 2000eruption of Miyakejima volcano,Japan[J].International Journal of Remote Sensing,2008,29(22):6597-6620.
[6]蔡晓春,胡以华,陶小红,等.基于自适应检测算法的ASTER遥感图像机场检测[J].红外技术,2007,29(8):443-446.
[7]罗军,杨卫平,沈振康.红外图像中机场跑道的自动目标识别[J].红外技术,2003,25(3):13-17.
[8]Hillger D W,Ellrod GP.Detection of important atmospheric and surface features by employing principal component image transformation of GOES imagery[J].Journal of Applied Meteorology,2003,42(5):611-629.
[9]朱琳,刘健,刘诚,等.复杂气象条件下火山灰云遥感监测新方法[J].中国科学:地球科学,2011,41(7):1029-1036.
[10]尹京苑,沈迪,李成范.卫星遥感技术在火山灰云监测中的应用[J].地震地质,2013,35(2):245-262.
[11]郭云开,董胜光,彭悦.基于Curvelet变换和PCA相结合的方法提取地质构造信息[J].测绘通报,2010(4):15-18.
[2]Webley P,Mastin L.Improved prediction and tracking of volcanic ash clouds[J].Journal of Volcanology and Geothermal Research,2009,186(1-2):1-9.
[3]李继苹.火山灰对航空飞行的危害及咨询服务[J].空中交通管理,2002(6):41-42.
[4]Gangale G,Prata A J,Clarisse L.The infrared spectral signature of volcanic ash determined from high-spectral resolution satellite measurements[J].Remote Sensing of Environment,2010,114(2):414-425.
[5]Mccarthy E B,Bluth G J S,Watson I M,et al.Detection and analysis of the volcanic clouds associated with the 18 and 28 August 2000eruption of Miyakejima volcano,Japan[J].International Journal of Remote Sensing,2008,29(22):6597-6620.
[6]蔡晓春,胡以华,陶小红,等.基于自适应检测算法的ASTER遥感图像机场检测[J].红外技术,2007,29(8):443-446.
[7]罗军,杨卫平,沈振康.红外图像中机场跑道的自动目标识别[J].红外技术,2003,25(3):13-17.
[8]Hillger D W,Ellrod GP.Detection of important atmospheric and surface features by employing principal component image transformation of GOES imagery[J].Journal of Applied Meteorology,2003,42(5):611-629.
[9]朱琳,刘健,刘诚,等.复杂气象条件下火山灰云遥感监测新方法[J].中国科学:地球科学,2011,41(7):1029-1036.
[10]尹京苑,沈迪,李成范.卫星遥感技术在火山灰云监测中的应用[J].地震地质,2013,35(2):245-262.
[11]郭云开,董胜光,彭悦.基于Curvelet变换和PCA相结合的方法提取地质构造信息[J].测绘通报,2010(4):15-18.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心