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出 处:《测绘科学》2016年第10期136-141,共6页Science of Surveying and Mapping
基 金:航空科学基金项目(20130196004)
摘 要:针对传统遥感系统对特定建筑物提取难的问题,该文提出了一种高空摄影系统下基于改进霍夫变换的城市枢纽立交桥检测方法。该方法首先对图像进行预处理和分割,对分割后图像进行形态学处理提取直线和曲线道路,弥补了单一提取直线道路的不足;然后对提取后的道路进行基于改进霍夫变换的近似圆形立交桥匝道的识别;最后依据圆形完整度门限判断可识别的圆形匝道个数,并根据识别数目来判定是否存在立交桥。经过实验比较分析,该方法对于国内外常规的立交桥系统识别效果都较好。Aiming at the difficulties of the detection of specific buildings by traditional remote sensing system, a detection method proposed. Firstly, after making were extracted by using the obje ly make linear road extraction. S of hinge flyover based on high altitude photographic system was pretreatment and segmentation, the linear and curve road in the images ct morphology features, which was better than many methods that canonecondly, the modified Hough transform was used to distinguish the nearly circular flyover ramps from other roads. Finally, it became possible to judge the existence of flyover from the circles detected. Experimental results proved that this method was promising for normal flyovers home and abroad.
分 类 号:P231[天文地球—摄影测量与遥感]
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