水蚀荒漠化遥感信息提取方法研究

doi:10.6046/gtzyyg.2010.s1.05

全文: PDF(721 KB)

HTML
输出: BibTeX | EndNote (RIS)

摘要

为了查明长江流域荒漠化现状,探讨研究区域内荒漠化土地自动分类的有效途径,克服异物同谱和同物异谱现象。以湘西地区为例,利

用ETM+卫星数据,探讨了水蚀荒漠化土地覆盖信息的提取方法。在对不同土地覆被类型光谱特征进行系统分析的基础上,根据归一化指数(NDWI

、NDVI、NDBI)及3、5、7波段的光谱值,提出了分层信息提取方案。结果表明,该方法简单、实用,准确率高，是一种地物遥感信息提取的有效

方法。

	服务

	把本文推荐给朋友
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章

关键词 ：同位素年龄, 数据库系统, 前寒武纪

Abstract：

In order to find out the desertification status of the Yangtze River Basin, this paper discusses the effective

automatic sorting of desertification land type, and the method for overcoming the phenomena of different things with the

same spectrum and the same thing with different spectra. Based on the waterpower desertification land, this paper probes

into the extraction method for land cover information in western Hunan area by using TM data information of Landsat. In the

light of multi-band data of TM, the normalized index(MNDWI NDVI NDBI) and the difference index were adopted. This paper has

also put forward the suggestion of multi-layer information extraction strategy based on TM images of TM3, TM4 and TM5

spectra. The results show that this method is simple and practical, and hence can serve as an effective way for remote

sensing information extraction of ground object.

Key words： Isotopic chronologic dates Database system Pre-Cambrian

收稿日期: 2010-04-22 出版日期: 2010-11-13

:
	TP 79

通讯作者: 张苑平（1964-），女，工程师，主要从事遥感地质环境应用研究。

引用本文:

张苑平, 姜端午, 黄树春. 水蚀荒漠化遥感信息提取方法研究[J]. 国土资源遥感, 2010, 22(s1): 18-20.
ZHANG Yuan-Ping, JIANG Duan-Wu, HUANG Shu-Chun. A Study of the Method for Remote Sensing Information Extraction of Water Erosion Desertification. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(s1): 18-20.

链接本文:

https://www.gtzyyg.com/CN/10.6046/gtzyyg.2010.s1.05 或 https://www.gtzyyg.com/CN/Y2010/V22/Is1/18

［1］慈龙骏.全球变化对我国荒漠化的影响［G］∥张克斌.荒漠化及其防治.北京：林业大学出版社,1995：93-104.

［2］CCICCD.China Country Paper to Combat Desertification ［M］.Beijing：China Forestry Publishing House, 1996：18-31.

［3］李强,王正志.遥感图像分类与后处理综合技术研究——基于约束满足神经网络方法［J］.遥感学报,1999,3(3)：193-198.

［4］熊桢,郑兰芬,童庆禧.分层神经网络分类算法［J］.测绘学报,2000,29(3)：229-234.

［5］潘东晓,虞勤国,赵元洪.遥感图像的神经网络分类法［J］.国土资源遥感,1996(3)：49-55.

［6］尤淑撑,张玮,严泰来.模糊分类技术在作物类型识别中的应用［J］.国土资源遥感,2000(1)：39-43.

［7］Ramsey E W. Monitoring Flooding in Coastal Wetlands by Using Radar Imagery and Ground-based Measurements［J］. Journal

of Remote Sensing, 1995, 16：2495-2502.

［8］梅安新，彭望碌，秦其明,等.遥感导论［M］.北京：高等教育出版社，2001.