| 基于高通滤波的高分辨率遥感影像城市道路提取 |
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| 引用本文： | 杨先武,陈旭,何宽.基于高通滤波的高分辨率遥感影像城市道路提取[J].测绘科学,2011,36(4):50-52. |
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| 作者姓名： | 杨先武 陈旭 何宽 |
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| 作者单位： | 1. 信阳师范学院城市与环境科学学院,河南信阳,464000
2. 黄河水利职业技术学院,河南开封,475000 |
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| 基金项目： | 信阳师范学院青年自然基金 |
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| 摘 要： | 本文根据高分辨率遥感影像城市道路与房屋等建筑物在空间域中光谱特征差异很小,而在频率域中区别很大的特点,提出一种基于频率域的道路提取方法.在图像频率域中利用Butterworth高通滤波器对图像进行锐化增强处理,突出道路的边缘信息,将道路与建筑物初步区分开来；再对增强后的图像二值化,通过形态变换等方法对图像中的建筑物进行...
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| 关 键 词： | 高分辨率遥感影像 道路提取 Butterworth高通滤波 数学形态学 |
Urban road extraction of high resolution RS imagery based on high-pass filter |
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| YANG Xian-wu,CHEN Xu,HE Kuan.Urban road extraction of high resolution RS imagery based on high-pass filter[J].Science of Surveying and Mapping,2011,36(4):50-52. |
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| Authors: | YANG Xian-wu CHEN Xu HE Kuan |
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| Institution: | ②(①Department of Urban and Environment,Xinyang Normal University,Henan Xinyang 464000,china;②Yellow River Conservancy Technical Institute,Henan Kaifeng 475000,china) |
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| Abstract: | This paper presened a high-pass filter based on the road extraction.The image frequency domain using Butterworth high-pass filter on the image were enhanced,highlighting the edges of the road information,road and buildings were separate.Then on the enhanced image binarization,by morphological transformation the buildings were classified,the pedestrian on the road,cars,crossing,tree shadows,noise points were remored.After thinning and pruning the image,finally it got a single pixel wide road centerline information.Verified by the actual remote sensing images,the method could accurately extract the complex urban road network. |
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| Keywords: | high resolution remote sensing image road extraction Butterworth High-pass filter mathematic morphology |
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