首页 > 论文 > 光谱学与光谱分析 > 35卷 > 10期(pp:2862-2866)

基于多类型光谱特征参数匹配的矿物信息遥感识别方法

Method of Remote Sensing Identification for Mineral Types Based on Multiple Spectral Characteristic Parameters Matching

  • 摘要
  • 论文信息
  • 参考文献
  • 被引情况
  • PDF全文
分享:

摘要

传统的与光谱反射率匹配的矿物填图方法受图像质量、 大气及环境背景等因素影响较为明显, 矿物识别效果较差。 针对上述问题提出一种基于多类型光谱特征参数匹配的矿物信息识别方法, 综合利用多种光谱特征参数在大气及环境背景变化中的相对稳定性特点, 实现矿物信息的高精度识别。 选取美国内华达州Cuprite矿区AVIRIS机载可见-红外光谱成像仪高光谱数据, 以USGS美国地质调查局波谱库中的矿物波数为参照光谱, 分别计算AVIRIS影像和USGS波谱库中典型矿物的光谱特征参数, 在对多种光谱特征参数综合分析的基础上, 构建Cuprite矿区矿物识别模型, 进行矿物填图实验。 最后使用Clark等在该地区的矿物填图结果数据, 对实验结果进行了验证, 结果表明: 该方法矿物识别结果与Clark等的填图结果吻合度高, 整体矿物识别精度达到78.96%。

Abstract

The traditional mineral mapping methods with remote sensing data, based on spectral reflectance matching techniques, shows low accuracy, for obviously being affected by the image quality, atmospheric and other factors. A new mineral mapping method based on multiple types of spectral characteristic parameters is presented in this paper. Various spectral characteristic parameters are used together to enhanced the stability in the situation of atmosphere and environment background affecting. AVIRIS (Airborne Visible Infrared Imaging Spectrometer) data of Nevada Cuprite are selected to determine the mineral types with this method. Typical mineral spectral data are also obtained from USGS (United States Geological Survey) spectral library to calculate the spectral characteristic parameters. A mineral identification model based on multiple spectral characteristic parameters is built by analyzing the various characteristic parameters, and is applied in the mineral mapping experiment in Cuprite area. The mineral mapping result produced by Clark et al. in 1995 is used to evaluate the effect of this method, results show, that mineral mapping results with this method can obtain a high precision, the overall mineral identification accuracy is 78.96%.

Newport宣传-MKS新实验室计划
补充资料

中图分类号:P578

DOI:10.3964/j.issn.1000-0593(2015)10-2862-05

基金项目:国家科技支撑计划课题(2012BAH27B04)资助

收稿日期:2014-10-25

修改稿日期:2015-02-08

网络出版日期:--

作者单位    点击查看

韦晶:山东科技大学测绘科学与工程学院, 山东 青岛266590
明艳芳:山东科技大学测绘科学与工程学院, 山东 青岛266590
韩留生:山东理工大学建筑工程学院, 山东 淄博255049
任仲亮:航天恒星科技有限公司, 山东 济南250100
郭亚敏:北京师范大学全球变化与地球系统科学学院, 北京100875

联系人作者:韦晶(weijing_rs@163.com)

备注:韦晶, 1991年生, 山东科技大学测绘科学与工程学院硕士研究生.

【1】Kruse F A. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(6): 1388.

【2】Robila S A. Remote Sensing, 2005, 26(24): 5629.

【3】Van der Meer F. International Journal of Applied Earth Observation and Geoinformation, 2006, 8(1): 3.

【4】Bioucas J, Plaza A, Dobigeon N, et al. IEEE Journal or Selected Topics in Applied Earth Observations in Remote Sensing, 2012, 5(2): 354.

【5】González C, Resano J, Plaza A, et al. IEEE Journal or Selected Topics in Applied Earth Observations in Remote Sensing, 2012, 5(1): 248.

【6】Bhattacharya S, Majumdar T J, Rajawat A S, et al. International Journal of Remote Sensing, 2012, 33(17): 5438.

【7】Wu C S, Alan T Murray. Remote Sensing of Environment, 2003, 84: 493.

【8】WANG Jin-nian, ZHENG Lan-fen, TONG Qing-xi(王晋年, 郑兰芬, 童庆禧). Remote Sensing of Environment China(环境遥感), 1996, 11(1): 20.

【9】Clark R N, Swayze G A, Livo K, et al. Journal of Geophysical Research, 2003, 108(12): 5131.

【10】Kruse F A, Raines G L, Watson K. Proceedings of the Fourth Thematic Conference on Geologic Remote Sensing. San Francisco, California, 1985.

【11】Clark R N, Swayze G A. Summaries of the Fifth Annual JPL Airborne Earth Science Workshop. JPL Publication, 1995.

引用该论文

WEI Jing,MING Yan-fang,HAN Liu-sheng,REN Zhong-liang,GUO Ya-min. Method of Remote Sensing Identification for Mineral Types Based on Multiple Spectral Characteristic Parameters Matching[J]. Spectroscopy and Spectral Analysis, 2015, 35(10): 2862-2866

韦晶,明艳芳,韩留生,任仲亮,郭亚敏. 基于多类型光谱特征参数匹配的矿物信息遥感识别方法[J]. 光谱学与光谱分析, 2015, 35(10): 2862-2866

被引情况

【1】侯妙乐,潘 宁,马清林,何海平,吕书强,胡云岗. 高光谱成像技术在彩绘文物分析中的研究综述. 光谱学与光谱分析, 2017, 37(6): 1852-1860

【2】王权,孙林,韦晶,周雪莹,陈婷婷,束美艳. 动态阈值云检测算法改进及在高分辨率卫星上的应用. 光学学报, 2018, 38(10): 1028002--1

您的浏览器不支持PDF插件,请使用最新的(Chrome/Fire Fox等)浏览器.或者您还可以点击此处下载该论文PDF