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An Approach to Spectral Discrimination of Rocks Using ASAI and Rough Sets
作者姓名:ZhangZhenfei  HuGuangdao  YangMingguo  LiuXing  WangZhenlmi  LiWenhui  ZhangXiaobing  HeLi
作者单位:Zhang Zhenfei Hu Guangdao Yang Mingguo Liu Xing Wang Zhenhai Institute of Mathematical Geology & Remote Sensing,China University of Geosciences,Wuhan 430074 Li Wenhui Zhang Xiaobing He Li The Third Geological Team of Yunnan Province,Dali 671000
基金项目:ThisresearchisjointlysupportedbytheNationalNaturalScienceFoun dationofChina (No .4 0 2 72 0 2 2 )andtheKeyBrainstormProjectofthe MinistryofLandandResourcesofChina (No .2 0 0 1 0 30 5)
摘    要:Field data of outcrop spectrums provide important basis for modeling of hyper-spectral remote sensing aiming at mineral prospecting. We make an approach to the application of rough set theory in spectral discriminiation of rocks. We build a decision table with an adequate number of samples (out-crops) of known rock type (the universe), of which the conditional atributes are discretized “area spectrum absorption indexes“ (ASAI) corresponding to wavelength intervals, and the decision atribute is rock type. We search to obtain the exhaustive set of reducts of the table, each of which will serve as a variable number of deduction rules. Suppose we have n (usually a very big number) rules in total and there are m types of rocks in our universe, for any unknown sample, we judge its rock type by each of those rules. An unknown sample may be recognized as a different type by different rules because it is out-side our universe, and we accept the most frequent judgment result and ignore the other m-1 types of results. Our ASAI is an improvement upon the traditional spectrum absorption index (SAI), better applicable to field spectrums: given a spectrum curve and a wavelength interval, we take the average reflectance within the interval as a base line and let ASAI=αbelow/(αabove αbelow), where αbelow and αabove stand for total areas, bounded by the curve, the base line and the borders of the intervalbelow and above the base line respectively. With the equipments of FieldSpectr Fr (made by ASD Co., US), we collected data from Baiya gold deposit, Yunnan, and applied the above method to discriminate altered rocks as an experiment. The results show satisfactory performance of the method.

关 键 词:光谱鉴定  ASAI  岩石鉴定  区域光谱吸收指数  超光谱遥控  粗糙集

An Approach to Spectral Discrimination of Rocks Using ASAI and Rough Sets
ZhangZhenfei HuGuangdao YangMingguo LiuXing WangZhenlmi LiWenhui ZhangXiaobing HeLi.An Approach to Spectral Discrimination of Rocks Using ASAI and Rough Sets[J].Journal of China University of Geosciences,2003,14(3):257-260.
Authors:ZHANG Zhenfei  HU Guangdao  Yang Mingguo  Liu Xing  Wang Zhenhai  Li Wenhui  Zhang Xiaobing  He Li
Abstract:Field data of outcrop spectrums provide important basis for modeling of hyper-spectral remote sensing aiming at mineral prospecting. We make an approach to the application of rough set theory in spectral discrimination of rocks. We build a decision table with an adequate number of samples (outcrops) of known rock type (the universe), of which the conditional attributes are discretized "area spectrum absorption indexes" (ASAI) corresponding to wavelength intervals, and the decision attribute is rock type. We search to obtain the exhaustive set of reducts of the table, each of which will serve as a variable number of deduction rules. Suppose we have n (usually a very big number) rules in total and there are m types of rocks in our universe, for any unknown sample, we judge its rock type by each of those rules. An unknown sample may be recognized as a different type by different rules because it is outside our universe, and we accept the most frequent judgment result and ignore the other m-1 types of results. Our ASAI is an improvement upon the traditional spectrum absorption index (SAI), better applicable to field spectrums: given a spectrum curve and a wavelength interval, we take the average reflectance within the interval as a base line and let ASAI=a below/(a above+a below), where a below and a above stand for total areas, bounded by the curve, the base line and the borders of the intervalbelow and above the base line respectively. With the equipments of FieldSpectr Fr (made by ASD Co., US), we collected data from Baiya gold deposit, Yunnan, and applied the above method to discriminate altered rocks as an experiment. The results show satisfactory performance of the method.
Keywords:rough set  spectral discrimination  area spectrum absorption index
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