基于高光谱遥感的四种典型道路光谱特征分析
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摘要
利用高光谱遥感的方法,采用美国ASD公司生产的FieldSpec 4(背负式非成像高光谱仪),光谱范围覆盖350—2 500 nm,开展了对水泥混凝土道路、沥青道路、砖路和泥路这4种最为常见的典型道路的高光谱数据野外观测。利用光谱均值、反射率计算、一阶导数、二阶导数、倒数后对数变换等方法,对原始光谱数据进行处理,分析对比4种道路的光谱曲线,研究4种道路各自的光谱特征并找到能很好地区分这4种不同道路类型的最佳波段。旨在探索不同道路类型的光谱特征,为道路识别与提取提供重要依据。
This paper,by using the Field Spec 4 made by United States ASD company,wavelength range 350—2 500 nm,the field observations of hyperspectral data of the four common typical pavement materials such as concrete,asphalt,brick and soil were carried out,and then using the methods of spectral mean value,reflectivity,first order derivative and second order derivative and first calculate reciprocal then logarithmic transformation,the original spectral data were transformed,thus obtaining four kinds of materials' spectral characteristics curves.Finally,analyzing and comparing the results to find excellent range of bands for distinguishing the four different road types.Aims to explore the spectral characteristics of different road types,and provide important basis on distinguishing and extracting road rapidly.
This paper,by using the Field Spec 4 made by United States ASD company,wavelength range 350—2 500 nm,the field observations of hyperspectral data of the four common typical pavement materials such as concrete,asphalt,brick and soil were carried out,and then using the methods of spectral mean value,reflectivity,first order derivative and second order derivative and first calculate reciprocal then logarithmic transformation,the original spectral data were transformed,thus obtaining four kinds of materials' spectral characteristics curves.Finally,analyzing and comparing the results to find excellent range of bands for distinguishing the four different road types.Aims to explore the spectral characteristics of different road types,and provide important basis on distinguishing and extracting road rapidly.
引文
[1]杨国鹏,余旭初,冯伍法,等.高光谱遥感技术的发展与应用现状[J].测绘通报,2008(10):1-4.
[2]邓美容,赵云升,刘兰芳.几种典型矿物的偏振高光谱特性研究[J].衡阳师范学院学报,2010,31(6):97-101.
[3]万余庆,谭克龙,周日平.高光谱遥感应用研究[M].第1版.北京:科学出版社,2006.
[4]张良培,张立福.高光谱遥感[M].第1版.武汉:测绘出版社,2005.
[5]刘秀英,臧卓,孙华,等.基于高光谱数据的杉木和马尾松识别研究[J].中南林业科技大学学报,2011,31(11):30-33.
[6]崔廷伟.赤潮光谱数据获取与特征规律分析研究[D].青岛:中国海洋大学,2003.
[7]Poonam S.Tiwari.Hina Pande,Mya Nan Aye.Exploiting IKONOS and Hyperion data fusion for automated road extraction[J].Geocarto International,2010,25(2):123-131.
[8]季艳,李波,谷延锋,胡蕾.一种基于光谱解混的高光谱图像道路检测方法[J].电子学报,2010,38(2A):50-54.
[9]佘宇晨,林辉,孙华.主要道路路面材料高光谱特征分析[J].中南林业科技大学学报,2014,34(11):120-123,139.
[10]范冬娟,张韶华.高光谱影像反射率反演方法的研究[J].海洋测绘,2006,26(3):28-30.
[11]杨敏华,赵永超,刘团结,等.基于DN值趋势面的成像光谱数据低信噪比波段修复研究[J].中国图象图形学报,2003,8(11):1 299-1303.
[2]邓美容,赵云升,刘兰芳.几种典型矿物的偏振高光谱特性研究[J].衡阳师范学院学报,2010,31(6):97-101.
[3]万余庆,谭克龙,周日平.高光谱遥感应用研究[M].第1版.北京:科学出版社,2006.
[4]张良培,张立福.高光谱遥感[M].第1版.武汉:测绘出版社,2005.
[5]刘秀英,臧卓,孙华,等.基于高光谱数据的杉木和马尾松识别研究[J].中南林业科技大学学报,2011,31(11):30-33.
[6]崔廷伟.赤潮光谱数据获取与特征规律分析研究[D].青岛:中国海洋大学,2003.
[7]Poonam S.Tiwari.Hina Pande,Mya Nan Aye.Exploiting IKONOS and Hyperion data fusion for automated road extraction[J].Geocarto International,2010,25(2):123-131.
[8]季艳,李波,谷延锋,胡蕾.一种基于光谱解混的高光谱图像道路检测方法[J].电子学报,2010,38(2A):50-54.
[9]佘宇晨,林辉,孙华.主要道路路面材料高光谱特征分析[J].中南林业科技大学学报,2014,34(11):120-123,139.
[10]范冬娟,张韶华.高光谱影像反射率反演方法的研究[J].海洋测绘,2006,26(3):28-30.
[11]杨敏华,赵永超,刘团结,等.基于DN值趋势面的成像光谱数据低信噪比波段修复研究[J].中国图象图形学报,2003,8(11):1 299-1303.