东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2013, Vol. 34 ›› Issue (3): 421-424.DOI: -

• 资源与土木工程 • 上一篇    下一篇

红透山地区植被异常遥感信息提取及其找矿意义

姚玉增，李维群，温守钦，赵玉山   

  1. (东北大学资源与土木工程学院，辽宁沈阳110819)
  • 收稿日期:2012-08-17 修回日期:2012-08-17 出版日期:2013-03-15 发布日期:2013-01-26
  • 通讯作者: 姚玉增
  • 作者简介:姚玉增(1972-)，男，山东蒙阴人，东北大学副教授.
  • 基金资助:
    中央高校基本科研业务费专项资金资助项目(N090401010，N110401005)；辽宁省自然科学基金资助项目(201102066).

Information Extraction of Botanical Anomaly and Its Prospecting Significance in the Hongtoushan Area

YAO Yuzeng， LI Weiqun， WEN Shouqin， ZHAO Yushan   

  1. School of Resources ＆ Civil Engineering， Northeastern University， Shenyang 110819， China.
  • Received:2012-08-17 Revised:2012-08-17 Online:2013-03-15 Published:2013-01-26
  • Contact: YAO Yuzeng
  • About author:-
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摘要： 为了解决遥感技术在高植被覆盖区的应用受到较大限制的问题，在充分考虑植被反射光谱特征及其在TM数据波段响应基础上，对TM5，TM4，TM2/TM3多光谱遥感数据进行主成分分析并拉伸处理.矿化区植被与背景区植被表现出明显的区别，矿化区植被呈暗红色，而背景区植被则表现为鲜艳的粉红色；对上述影像数据进行监督分类，结果表明该方法可以很好地突出由矿化蚀变导致的植被异常信息.该方法对东北高植被覆盖区遥感地质勘查具有一定的借鉴意义.

关键词: 植被异常, 信息提取, 遥感, 找矿, 红透山地区

Abstract: The remote sensing technique is applied extensively in mineral prospecting， but it is strongly restricted in highvegetated area. Multispectral data， i. e. TM5， TM4 and TM2/TM3 were enhanced by principal component analysis and linear stretch method， and it is found that the vegetations between mining area and background area showed obvious difference in the composite image. The vegetation in mining area is dark red， while fresh pink in background area， based on which， the composite image data is classified. The results indicate that the botanical anomalies caused by mineralized alteration are well extracted by the methods mentioned above， which is helpful to the remote sensing exploration in highlyvegetated area of Northeast China.

Key words: botanical anomaly, information extraction, remote sensing, mineral resource prospecting, Hongtoushan area

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