Extraction of Vehicles in Parking Lot Based on Random Projection Depth Function
LI Yu1, WANG Ya-qiong1, ZHAO Xue-mei2, ZHAO Quan-hua1
1. Institute for Remote Sensing Science and Application. School of Geomatics, Liaoning Technical University, Fuxin, Liaoning 123000, China;
2. Institute of Remote Sensing and Digital Earth of the Chinese Academy of Sciences, Beijing 100094, China
Abstract：An algorithm of extraction of vehicles based on random projection depth function is proposed for accurately extracting vehicles with different colors in outdoor parking lots.The random projection depth function can effectively distinguish the center and outlier of the data set in RGB color space,and in this way,the vehicles whose color characteristics act as outlier are highlighted.First,the random projection depth function is used to sort the color characteristic of each pixel to obtain random projection depth value,forming the depth field image; Then,morphological closed operation is carried out for the depth field image,and an appropriate random projection depth value is selected as the threshold to binarize the image; Finally,the vehicles are accurately extracted from the parking lot by decision tree algorithm and morphological operations.The experimental results show that the random projection depth function can effectively deal with the "same body with different spectrum" phenomenon of various color vehicles in remote sensing images.The vehicles of different colors are highlighted in the depth field image,which can effectively improve the efficiency of vehicle extraction,and extraction of vehicles from parking lot of remote sensing images can be realized accurately by combining random projection depth function and simple post-processing.
李玉, 王亚琼, 赵雪梅, 赵泉华. 基于随机投影深度函数的停车场车辆提取方法[J]. 电子学报, 2019, 47(2): 322-330.
LI Yu, WANG Ya-qiong, ZHAO Xue-mei, ZHAO Quan-hua. Extraction of Vehicles in Parking Lot Based on Random Projection Depth Function. Acta Electronica Sinica, 2019, 47(2): 322-330.
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2019, Vol. 47 
