基于TM影像的流域河网信息提取  被引量:2

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

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作  者:宗佳亚 魏舟 

机构地区:[1]陕西省区域地质矿产研究院,陕西咸阳712000

出  处:《安徽农业科学》2017年第25期68-71,79,共5页Journal of Anhui Agricultural Sciences

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。In the process of research, the TM effect on Jiuyuangou watershed was studied by single-band threshold method, spectral correlation 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 obvious, 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 

分 类 号:S127[农业科学—农业基础科学]

 

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