摘要
作为重要战略目标的机场跑道是一种重要的遥感图像提取目标。高分辨率遥感图像中机场跑道等地物人工标志线清晰可辨,可作为一种重要的地物提取标志。在建立机场跑道模型的基础上,提出了一种基于带通滤波的提取机场跑道人工标志线的算法,并建立了机场主跑道提取的技术流程。该流程包括非植被区提取、数学形态学处理、带通滤波、Douglas-Peucker平滑算法以及平行线对模型的建立等。利用该算法对6处机场进行了试验,结果表明该算法提取准确可靠。
Runway of the airfield, as a strategically important object, is one of the main target in the study of information extraction from remote sensing images. In the high resolution remote sensing image, the mark lines of the runway is distinct, and can be served as an important signs of object extraction. Based on the establish of the model of the runway, the paper proposed an mark lines extraction algorithm based on band-pass filter, and set up a method for runway extraction. The method consists of the area extraction of non-vegetation, mathematical morphology methods, band-pass filter, Douglas-Peucker algorithm and the parallel lines extraction. The arithmetic was tested by six airfield, the rate of false alarm and the rate of non-inspected is O, indicating that the method is feasible.
出处
《测绘科学》
CSCD
北大核心
2009年第6期94-95,195,共3页
Science of Surveying and Mapping
关键词
带通滤波
人工标志线
数学形态学
跑道提取
平行线对提取
band-pass filter
mark line
mathematical morphology
runway detection
parallel lines extraction
