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遥感图像村级道路提取方法研究
引用本文:王海旭,杨武年,胡译.遥感图像村级道路提取方法研究[J].测绘与空间地理信息,2014(5):114-115.
作者姓名:王海旭  杨武年  胡译
作者单位:成都理工大学地球科学学院,四川成都610059
摘    要:对高分辨率遥感图像0.64~0.72μm波段灰度图进行直方图拉伸增强对比度,通过设立阈值分割图像得到二值图,再基于数学形态学消除噪声填充孔洞。然后,利用软件进行自动矢量化。实验证明,该方法能有效处理遥感图像,已达到提取高分辨率遥感图像中村级道路的目的。

关 键 词:数学形态学  矢量化  图像增强  高分辨率影像

The Method of Getting the Village-Level Road in Remote Sensing Images
WANG Hal -xu,ANG Wu -nian,HU Yi.The Method of Getting the Village-Level Road in Remote Sensing Images[J].Geomatics & Spatial Information Technology,2014(5):114-115.
Authors:WANG Hal -xu  ANG Wu -nian  HU Yi
Institution:( College of Earth Science, Chengdu University of Technology, Chengdu 610059, China)
Abstract:This paper enhanced a grayscale of the remote sensing image with histogram stretching to enhance contrast,and get binary image by setting up valve worth. And eliminate noises,fill the holes based on mathematical morphology. Use Arcscan for vector quantization. This experiments show that this method can effectively extract processing remote sensing image in the purpose of getting the village-level road in high resolution remote sensing images.
Keywords:mathematical morphology  vectorization  image enhancement  high resolution image
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