吉林大学学报(地球科学版) ›› 2016, Vol. 46 ›› Issue (3): 938-944.doi: 10.13278/j.cnki.jjuese.201603308

• 地球探测与信息技术 • 上一篇    

基于实测光谱指数法的ASTER遥感数据岩性信息提取

陈圣波1, 于亚凤1, 杨金中2, 王楠1, 梦华1   

  1. 1. 吉林大学地球探测科学与技术学院, 长春 130026;
    2. 中国国土资源航空物探遥感中心, 北京 100083
  • 收稿日期:2015-09-15 出版日期:2016-05-26 发布日期:2016-05-26
  • 作者简介:陈圣波(1967),男,教授,博士生导师,主要从事遥感地质研究,E-mail:chensb0408@126.com
  • 基金资助:

    中国地质调查局项目(12120113100100)

Lithologic Information Extraction from ASTER Remote Sensing Data Based on Spectral Ratio Method

Chen Shengbo1, Yu Yafeng1, Yang Jinzhong2, Wang Nan1, Meng Hua1   

  1. 1. College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China;
    2. China Aero Geophsical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China
  • Received:2015-09-15 Online:2016-05-26 Published:2016-05-26
  • Supported by:

    Supported by Geological Survey's Project(12120113100100)

摘要:

目前,光谱波段比值法可以用于岩性信息提取与识别。以新疆北山坡北造山带辉长岩、橄榄岩、橄榄辉长岩以及闪长岩为研究对象,深入分析这四种岩性在VNIR(可见光-近红外)-SWIR(短波红外)谱域的光谱差异。基于辉长岩、橄榄辉长岩、橄榄岩以及闪长岩在2 300 nm附近存在-OH的吸收特征,建立了第8波段的相对吸收深度RBD8;基于橄榄辉长岩、橄榄岩以及闪长岩在400~700 nm出现的弱吸收特征,建立比值指数RI21来反映四种岩性含Fe3+矿物的丰度;基于四种岩性在1 100 nm附近都存在由Fe2+引起的宽而强的吸收谱带,建立了比值指数RI54来估计Fe2+含量。利用RBD8RI21以及RI54三个比值指数分别对影像进行增强处理,并对增强后的影像进行RGB彩色合成,不仅识别和提取出辉长岩、橄榄岩、橄榄辉长岩和闪长岩,还有效区分出片岩以及碳酸盐岩等岩性信息。

关键词: 波段比值, 相对吸收深度, ASTER, 岩性提取

Abstract:

At present, the spectral bands ratio method can be used for extracting and recognizing the lithologic information.In this paper, the gabbro, peridotite, olive gabbro, and diorite in the north slope of north orogenic belt in Xinjiang are selected as the research object, we deeply analyze the difference of the four kinds of lithology in VNIR-SWIR spectrum domain. On account of the -OH absorption characteristic of the gabbro, olive gabbro, and peridotite diorite in the near 2 300 nm spectrum, we establish the relative absorption depth data of band 8, which is called RBD8.On the strength of the weak absorption characteristics of the olive gabbro, peridotite diorite and between 400 nm to 700 nm in the spectrum, we establish the RI21 ratio index to reflect the abundance of the four kinds of lithologies, which contain Fe3+. Because of the wide and strong absorption band of the four kinds of lithology near 1 100 nm in the spectrum caused by Fe2+, we establish the ratio index, which is called as RI54 to estimate the content of Fe2+.Using ratio indexes RBD8, RI21 and RI54 to enhance the image, respectively, we enhance image for the RGB color composite.We not only identify and extract the gabbro, peridotite, olive gabbro, and diorite, but also effectively distinguish the lithology information between schist and carbonate rock.Because of the wide and strong absorption band of the four kinds of lithology near 1 100 nm in the spectrum caused by Fe2+, we establish the ratio index which is called RI54 to estimate thecontent of Fe2+.

Key words: bands ratio, relative absorption-band depth, ASTER, lithology extraction

中图分类号: 

  • TP79

[1] 燕守勋, 张兵, 赵永超, 等.矿物与岩石的可见-近红外光谱特性综述[J].遥感技术与应用, 2003,18(4):191-201. Yan Shouxun, Zhang Bing, Zhao Yongchao, et al. Summarizing the VIS-NIR Spectra of Minerals and Rocks[J]. Remote Sening Technology and Application, 2003,18(4):191-201.

[2] Rowan L C, Watlaufer P H, Goerz A F H, et al. Discri-mination of Rock Types and Detection of Hydrothermally Altered Areas in South-Central Nevada by Use of Computer-Enhanced ERTS Images[M]. Washington:United States Covernment Printing Office, 1974.

[3] Ninomiya Y, Fu B, Cudahy T J. Detecting Lithology with Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Multispectral Thermal Infrared "Radiance-at-Sensor" Data[J]. Remote Sensing of Environment, 2005,99(1/2):127-139.

[4] Amer R, Kuskya T, Ghulam A. Lithological Mapping in the Central Eastern Desert of Egypt Using ASTER Data[J]. Journal of African Earth Sciences, 2010,56:75-82.

[5] 郑硕. 基于ASTER多光谱遥感数据的花岗岩类岩性识别与提取:以新疆西准噶尔花岗岩岩体为例[D].合肥:安徽师范大学,2012. Zheng Shuo. Lithological Identification and Extraction of Granitoids from ASTER Multispectral Data:Case Study in Granitoid Plutons, the Western Junggar, Xinjiang[D]. Hefei:Anhui Normal University, 2012.

[6] 时丕龙, 付碧宏, 二宫芳树.基于ASTER VNIR-SWIR多光谱遥感数据识别与提取干旱地区岩性信息:以西南天山柯坪隆起为例[J]. 地质科学, 2010,45(1):333-347. Shi Pilong, Fu Bihong, Ninomiya Y. Detecting Lithologic Features from ASTER VNIR-SWIR Multispectral Data in the Arid Region:A Case Study in the Eastern Kalpin Uplift, Southwest Tian Shan[J]. Chinese Journal of Geology, 2010, 45(1):333-347.

[7] Rowan L C, Kingston M J, Crowley J K. Spectral Reflec-tance of Carbonatites and Related Alkali Igneous Rocks:Selected Samples from Four North American Localities[J]. Economic Geology,1986,81(4):857-871.

[8] Hunt G R. Spectral Signatures of Particulate Minerals in the Visible and Near Infrared[J]. Geophysics,1977,42(3):501-513.

[9] Crowley J K, Brickey D W, Rowan L C. Airborne Imaging Spectrometer Data of the Ruby Mountains, Montana:Mineral Discrimination Using Relative Absorption Band-Depth Images[J]. Remote Sensing of Environment, 1989, 29(2), 121-134.

[10] 付碧宏.塔里木盆地西北缘中奥陶统、下志留统的空间分布特征及其相变的遥感分析[J]. 沉积学报,1995,13(4):153-160. Fu Bihong. The Analysis on Distribution Features and Sedimentary Facies Variation Through Middle Ordovician to Lower Silurian Sequences in the Northwestern Margin of Tarim Basin from Remote Sensing Data[J]. Acta Sedimentologica Sinica, 1995, 13(4):153-160.

[11] 陈圣波,张莹,郭鹏举,等.辽宁兴城地区岩石光谱测试及特征分析[J].吉林大学学报(地球科学版),2015, 45(1):320-326. Chen Shengbo,Zhang Ying,Guo Pengju,et al. Rock Spectral Measurments and Their Characterization Analysis in Xingcheng Area, Liaoning Province[J].Journal of Jilin University (Earth Science Edition), 2015, 45(1):320-326.

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