基于IDL的尾矿识别系统开发与应用

金属矿山 ›› 2013, Vol. 42 ›› Issue (06): 96-99.

基于IDL的尾矿识别系统开发与应用

常睿春^1,2，崔之熠³，王茂芝^1,2

1.成都理工大学管理科学学院；2.数学地质四川省重点实验室；3.中航工业第一飞机设计院

出版日期:2013-06-17 发布日期:2013-08-09
基金资助:
* 中国地质大调查项目（编号：1212011087084）。

Development and Application of Mine Tailings Identification System Based on IDL

Chang Ruichun^1,2，Cui Zhiyi³，Wang Maozhi^1,2

1.College of Management Science，Chengdu University of Technology；2.Key Laboratory of Geomathematics of Sichuan Province；3.AVIC Aircraft Design Institute

Online:2013-06-17 Published:2013-08-09

摘要/Abstract

摘要： 论述了基于IDL语言开发的“高光谱尾矿识别与分布系统”的关键技术（光谱特征分析、图像掩膜、尾矿识别与分布）、系统流程和构架设计，详细讨论了面向行业应用的系统设计思路。以高光谱遥感尾矿信息识别与圈定为目标，分为遥感影像光谱特征分析、遥感影像掩膜处理、尾矿识别和尾矿分布等4个功能模块，并在赣东北地区的德兴铜矿尾矿区进行实验，得到了实验区尾矿分布图，并与实际尾矿区分布图进行对比，证明了软件的可操作性和实用性。同时，对存在的问题进行了探讨。

关键词: 高光谱遥感, 光谱特征分析, 尾矿识别, 系统设计

Abstract: The paper describes the key technologies (spectral characteristics analysis，image mask，mine tailings identification and distribution)，system flows and framework design of “the Hyperspectral Mine Tailings Identification and Distribution System” based on the IDL language，and discusses the design ideas of the system for the industrial applications in detail.With the aims for the hyperspectral mine tailings identification and distribution，the system is divided into four functional modules: the spectral characteristics analysis of remote sensing imagine，remote sensing image mask processing and mine tailings identify and distribution.And experiments are conducted in Dexing Copper Mine in the northeast of Jiangxi to get the mine tailings maps in the experimental area.Compared with the actual mine tailings distribution，the experiments proved that the system is feasible and practical.Meanwhile，the existing problems in the system are discussed as well.

Key words: Hyperspectral remote sensing, Spectral characteristics analysis, Mine tailings recognition, System design

常睿春, 崔之熠, 王茂芝. 基于IDL的尾矿识别系统开发与应用[J]. 金属矿山, 2013, 42(06): 96-99.

CHANG Rui-Chun, CUI Zhi-Yi, WANG Mao-Zhi. Development and Application of Mine Tailings Identification System Based on IDL[J]. Metal Mine, 2013, 42(06): 96-99.

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