安徽农业科学2017,Vol.45Issue(25) :68-71,79.

基于TM影像的流域河网信息提取

Information Extraction of River Network in River Basin Based on TM Image

宗佳亚 魏舟
安徽农业科学2017,Vol.45Issue(25) :68-71,79.

基于TM影像的流域河网信息提取

Information Extraction of River Network in River Basin Based on TM Image

宗佳亚 1魏舟1
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作者信息

  • 1. 陕西省区域地质矿产研究院,陕西咸阳712000
  • 折叠

摘要

针对韭园沟流域的TM影响,采用单波段阈值法、谱间关系法、归一化水体指数、HIS彩色模型4种方式进行流域河网信息提取,得出以下结论:①基于TM影像6波段的单波段阈值提取方法,可以获得较清晰的河网信息,主支流河网连续性较好,河流脉络明显,但是由于遥感影像上阴影的影像,单波段改变提取阈值难以把阴影与水体进行有效区分,提取效果仅能作为一个参考;②利用谱间关系法和IHS颜色模型提取的河网,主干道提取效果明显,大面积的水体也可以很好地表现,支流河网只能表现大致的轮廓,存在许多严重的断流现象.

Abstract

In the process of research, the TM effect on Jiuyuangou watershed was studied by single-band threshold method, spectral correla-tion method, normalized water index and HIS color model.The results were as follows: ① Based on TM The single-band threshold extraction method can obtain relatively clear river network information, the main tributary river network continuity was good, the river context was obvi-ous, but because of the shadow image on the remote sensing image, the single-band change extraction threshold can not distinguish shadow and water.② The use of spectral relationship between the method and IHS color model extracted from the river network, the main road extraction effect is obvious, a large area of water can also be a good performance, tributary river network only, the river can only be used as a reference, Can show a rough outline, there are many serious disconnection phenomenon.

关键词

TM影像/流域河网/水体信息/阈值

Key words

TM image/Watershed River Network/Water information/Threshold

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出版年

2017
安徽农业科学
安徽省农业科学院

安徽农业科学

影响因子:0.413
ISSN:0517-6611
被引量2
参考文献量4
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