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山地区域航空正射影像拉花变形自动检测方法
引用本文:周丽娟,李朋龙.山地区域航空正射影像拉花变形自动检测方法[J].测绘与空间地理信息,2020(6):88-90,94.
作者姓名:周丽娟  李朋龙
作者单位:重庆交通职业学院;重庆市地理信息和遥感应用中心
基金项目:公路隧道国家工程实验室项目(NELFHT201801)资助。
摘    要:针对山地区域正射影像制作中拉花变形区域人工查找效率低、自动查找难等问题,提出了一种山地区域航空正射影像拉花变形自动检测方法。该方法首先利用航空影像正射纠正模型将每个像素反算至原始影像位置,其次以每个像素为中心与周围像素进行比对判断拉花像素点,然后,对拉花像素区域进行图像腐蚀、膨胀与矢量化处理得到拉花区域的矢量边界。实验结果表明,该方法能够自动检测出拉花变形区域边界,有助于提高正射影像制作与质检效率。

关 键 词:山地区域  正射影像  拉花变形  自动检测

Automatic Detection Method for Tensile Deformations of Aerial Orthophoto in Mountainous Area
ZHOU Lijuan,LI Penglong.Automatic Detection Method for Tensile Deformations of Aerial Orthophoto in Mountainous Area[J].Geomatics & Spatial Information Technology,2020(6):88-90,94.
Authors:ZHOU Lijuan  LI Penglong
Institution:(Chongqing Vocational College of Transportation,Chongqing 402247,China;Chongqing Geomatics and Remote Sensing Center,Chongqing 400147,China)
Abstract:An automatic detection method for tensile deformations in aerial orthophoto is proposed in this paper,to solve the problems of low efficiency and difficulty in tensile deformation's recognition.Firstly,the image point coordinates on the original aerial image of each pixel on orthophoto were calculated.Secondly,the overlap times of the original aerial images corresponding to every pixel and its neighboring pixels were counted to determine whether the pixel was a tensile deformed pixel.Finally,the vector data of tensile deform-ations in orthophoto was obtained by image corrosion,image expansion and vectorization of the binary image.The experimental results show that this method could detect the boundary of the tensile deformation areas automatically and accurately,and is useful to improve the efficiency of orthophoto's production and quality inspection.
Keywords:mountainous area  orthophoto  tensile deformations  automatic detection
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