高光谱Hyperion与高分辨率WorldView-2卫星数据协同下的岩性分类
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摘要
在目前的技术条件下,一种遥感数据源很难同时具有高空间分辨率和高光谱分辨率特征,因此如何协同使用不同来源的遥感数据进行矿物岩石识别就成了遥感地质领域的重要研究内容之一。本文结合高空间分辨率WorldView-2数据和高光谱分辨率Hyperion数据,以新疆乌恰县矿物岩石识别与地层划分为例探讨多源遥感数据协同的岩性分类。通过对比2种数据源的空间和光谱探测能力,找到其协同基础。借鉴传统的同源数据融合方法,把World View-2多光谱数据降采样到不同空间尺度,并进行主成分变换,采用第一主成分与Hyperion融合产生协同数据。基于SAM光谱角分类法,分别采用WorldView-2多光谱原始数据、Hyperion原始数据和各协同数据对研究区的岩性进行自动分类。结果表明,各协同数据岩性分类精度较高,Hyperion次之,WorldView-2数据岩性分类精度最低。
Single remote sensing datum is difficult to obtain both high spatial resolution and high spectral resolution characteristics at the same time in the field of remote sensing geology,so it isnecessary to synthesize remote sensing data from different sources together to identify minerals and rocks.In this paper,lithological classification through the combination of multi-source remote sensing data of high spatial resolution of WorldView-2 data and high spectral resolution of Hyperion data is exercised in the identification of rocks and minerals and division of stratigraphy in the Wuqia County of Xinjiang.The basis of synergy is found and established by comparison of the detection ability of space and spectra between the two kinds of data source.Taking traditional source data fusion method as reference,the WorldView-2 multi-spectral data are sampled down to different spatial scale and the principal component is transformed.Then,synergy data are made by reconciling the first principal component and the Hyperion data.Based on the SAM method,the lithology in the study area is classified by using WorldView-2,Hyperion and synergy data.The experimental results show that the classification accuracy of all the synergy data are high,the Hyperion data comes next,and the accuracy of WorldView-2 data is the lowest.
Single remote sensing datum is difficult to obtain both high spatial resolution and high spectral resolution characteristics at the same time in the field of remote sensing geology,so it isnecessary to synthesize remote sensing data from different sources together to identify minerals and rocks.In this paper,lithological classification through the combination of multi-source remote sensing data of high spatial resolution of WorldView-2 data and high spectral resolution of Hyperion data is exercised in the identification of rocks and minerals and division of stratigraphy in the Wuqia County of Xinjiang.The basis of synergy is found and established by comparison of the detection ability of space and spectra between the two kinds of data source.Taking traditional source data fusion method as reference,the WorldView-2 multi-spectral data are sampled down to different spatial scale and the principal component is transformed.Then,synergy data are made by reconciling the first principal component and the Hyperion data.Based on the SAM method,the lithology in the study area is classified by using WorldView-2,Hyperion and synergy data.The experimental results show that the classification accuracy of all the synergy data are high,the Hyperion data comes next,and the accuracy of WorldView-2 data is the lowest.
引文
[1]李志丹,薛春纪,董新丰,等.新疆乌恰县乌拉根铅锌矿床地质特征和S-Pb同位素组成[J].地学前缘,2013,20(1):40-54.Li Z D,Xue C J,Dong X F,et al.Ore geology S-Pb isotopic compositions of the Wulagen Zn-Pb deposit,Wuqia County,Xinjiang[J].Earth Science Frontier,2013,20(1):40-54.(in Chinese)
[2]祝新友,王京彬,刘增仁,等.新疆乌拉根铅锌矿床地质特征与成因[J].地质学报,2010,84(5):694-702.Zhu X Y,Wang J B,Liu Z R,et al.Geologic characteristics and the genesis of the Wulagen lead-zinc deposit,Xinjiang,China[J].Acta Geologica Sinica,2010,84(5):694-702.(in Chinese)
[3]Poli D,Angiuli E,Remondino F.Radiometric and geometric analysis of WorldView-2 stereo scenes[C]//Proceeding of the International Archives of the Photogrammetry,Remote Sensing and Spatial Information Sciences,Calgary,AB,Canada,2010.
[4]袁金国,牛铮,王锡平.基于FLAASH的Hyperion高光谱影像大气校正[J].光谱学与光谱分析,2009,29(5):1181-1185.Yuan J G,Niu Z,Wang X P.Atmospheric correction of Hyperion hyperspectral image based on FLAASH[J].Spectroscopy and Spectral Analysis,2009,29(5):1181-1185.(in Chinese)
[5]史超,张远龙,任正情,等.福建矾山Hyperion高光谱数据预处理及效果评价[J].地质科技情报,2014,33(1):199-204.Shi C,Zhang Y L,Ren Z Q,et al.Hyperion data preprocessing and assessment:Example from Fanshan,Fujian Province[J].Geological Science and Technology Information,2014,33(1):199-204.(in Chinese)
[6]Cracknell A P.Review article synergy in remote sensing-What's in a pixel[J].International Journal of Remote Sensing,1998,19(11):2025-2047.
[7]余健.ASTER与WorldView-2影像协同应用提取岩性信息方法研究[D].武汉:中国地质大学档案馆,2012.Yu J.Research on the Methodology of Synergetic Application of ASTER and WorldView-2Images on Lithologic Information Extraction[D].Wuhan:The Archive of China University of Geosciences,2012.(in Chinese)
[8]王忠武,吕磊,赵忠明.空间分辨率之比对遥感图像融合质量的影响[J].光电工程,2009,36(4):103-107.Wang Z W,Lyu L,Zhao Z M.Effect of spatial resolution ratio on optical remote sensing image fusion quality[J].Opto-Electronic Engineering,2009,36(4):103-107.(in Chinese)
[9]Ling Y,Ehlers M,Usery E L,et al.Effects of spatial resolution ratio in image fusion[J].International Journal of Remote Sensing,2008,29(7):2157-2167.
[10]Chavez P S J,Stuart C S,Jeffrey A A.Comparison of the three different methods to merge multi resolution and multi spectral data Landsat TM and SPOT Panchromatic[J].Photogrammetric Engineering&Remote Sensing,1991,57(3):295-303.
[11]Huang T S.PCM picture transmission[J].IEEE Spectrum,1965,2(12):57-63.
[12]Andreu J P,Borotschnig H,Ganster H,et al.Information fusion in image understanding[C]//IAPR International Conference on Pattern Recognition,1992,Vol.i.Conference A:Computer Vision and Applications,Proceedings.New York:IEEE,1992:366-370.
[13]刘衍宏.基于高光谱Hyperion数据的黏土矿信息提取应用研究[D].北京:中国地质大学档案馆,2010.Liu Y H.Applications Study of Clay Information Extraction Based on Hyperion Data[D].Beijing:The Archive of China University of Geosciences,2010.(in Chinese)
[14]甘甫平,王润生,杨苏明.西藏Hyperion数据蚀变矿物识别初步研究[J].国土资源遥感,2002(4):44-51.Gan F P,Wang R S,Yang S M.Studying on the alteration minerals identification using Hyperion data[J].Remote Sensing for Land&Resources,2002(4):44-51.(in Chinese)
[15]项甜甜,陈圣波,刘彦丽,等.基于高光谱数据的河北滦平地区岩性信息提取方法试验研究[J].遥感信息,2013,28(2):82-92.Xiang T T,Chen S B,L Y L,et al.Lithological information extraction from Hyperion data in Luanping area,Hebei[J].Remote Sensing Information,2013,28(2):82-92.(in Chinese
[2]祝新友,王京彬,刘增仁,等.新疆乌拉根铅锌矿床地质特征与成因[J].地质学报,2010,84(5):694-702.Zhu X Y,Wang J B,Liu Z R,et al.Geologic characteristics and the genesis of the Wulagen lead-zinc deposit,Xinjiang,China[J].Acta Geologica Sinica,2010,84(5):694-702.(in Chinese)
[3]Poli D,Angiuli E,Remondino F.Radiometric and geometric analysis of WorldView-2 stereo scenes[C]//Proceeding of the International Archives of the Photogrammetry,Remote Sensing and Spatial Information Sciences,Calgary,AB,Canada,2010.
[4]袁金国,牛铮,王锡平.基于FLAASH的Hyperion高光谱影像大气校正[J].光谱学与光谱分析,2009,29(5):1181-1185.Yuan J G,Niu Z,Wang X P.Atmospheric correction of Hyperion hyperspectral image based on FLAASH[J].Spectroscopy and Spectral Analysis,2009,29(5):1181-1185.(in Chinese)
[5]史超,张远龙,任正情,等.福建矾山Hyperion高光谱数据预处理及效果评价[J].地质科技情报,2014,33(1):199-204.Shi C,Zhang Y L,Ren Z Q,et al.Hyperion data preprocessing and assessment:Example from Fanshan,Fujian Province[J].Geological Science and Technology Information,2014,33(1):199-204.(in Chinese)
[6]Cracknell A P.Review article synergy in remote sensing-What's in a pixel[J].International Journal of Remote Sensing,1998,19(11):2025-2047.
[7]余健.ASTER与WorldView-2影像协同应用提取岩性信息方法研究[D].武汉:中国地质大学档案馆,2012.Yu J.Research on the Methodology of Synergetic Application of ASTER and WorldView-2Images on Lithologic Information Extraction[D].Wuhan:The Archive of China University of Geosciences,2012.(in Chinese)
[8]王忠武,吕磊,赵忠明.空间分辨率之比对遥感图像融合质量的影响[J].光电工程,2009,36(4):103-107.Wang Z W,Lyu L,Zhao Z M.Effect of spatial resolution ratio on optical remote sensing image fusion quality[J].Opto-Electronic Engineering,2009,36(4):103-107.(in Chinese)
[9]Ling Y,Ehlers M,Usery E L,et al.Effects of spatial resolution ratio in image fusion[J].International Journal of Remote Sensing,2008,29(7):2157-2167.
[10]Chavez P S J,Stuart C S,Jeffrey A A.Comparison of the three different methods to merge multi resolution and multi spectral data Landsat TM and SPOT Panchromatic[J].Photogrammetric Engineering&Remote Sensing,1991,57(3):295-303.
[11]Huang T S.PCM picture transmission[J].IEEE Spectrum,1965,2(12):57-63.
[12]Andreu J P,Borotschnig H,Ganster H,et al.Information fusion in image understanding[C]//IAPR International Conference on Pattern Recognition,1992,Vol.i.Conference A:Computer Vision and Applications,Proceedings.New York:IEEE,1992:366-370.
[13]刘衍宏.基于高光谱Hyperion数据的黏土矿信息提取应用研究[D].北京:中国地质大学档案馆,2010.Liu Y H.Applications Study of Clay Information Extraction Based on Hyperion Data[D].Beijing:The Archive of China University of Geosciences,2010.(in Chinese)
[14]甘甫平,王润生,杨苏明.西藏Hyperion数据蚀变矿物识别初步研究[J].国土资源遥感,2002(4):44-51.Gan F P,Wang R S,Yang S M.Studying on the alteration minerals identification using Hyperion data[J].Remote Sensing for Land&Resources,2002(4):44-51.(in Chinese)
[15]项甜甜,陈圣波,刘彦丽,等.基于高光谱数据的河北滦平地区岩性信息提取方法试验研究[J].遥感信息,2013,28(2):82-92.Xiang T T,Chen S B,L Y L,et al.Lithological information extraction from Hyperion data in Luanping area,Hebei[J].Remote Sensing Information,2013,28(2):82-92.(in Chinese
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