@inproceedings{b15b40954508415cbccc44bcd04fa5c2,
title = "Efficient detection of vehicle on the road for GF-2 satellite image with 1-meter spatial resolution",
abstract = "An efficient vehicle detection method is proposed for remote sensing images provided by Chinese GF-2 satellite with the 1-meter spatial resolution in this paper. Considering the characteristics of the vehicle on the road in GF-2 image, dark and light vehicles are firstly detected on the masked road using the semi-automatic dual-threshold technique. The residual disturbance (e.g. shadows, lane line and noise) is removed by the adjacent relation and double area filtering. Furthermore, to avoid the detected broken vehicle, an integrity processing is proposed to locate the detected broken vehicle and eliminate the repetition detection. Experimental results on several GF-2 images present the lower miss rate and false rate in vehicle detection.",
keywords = "Dual-threshold segmentation, GF-2, Integrity processing, Shadow removal, Vehicle detection",
author = "Hao Chen and Ping Wang and Ye Zhang",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 ; Conference date: 23-07-2017 Through 28-07-2017",
year = "2017",
month = dec,
day = "1",
doi = "10.1109/IGARSS.2017.8127333",
language = "英语",
series = "International Geoscience and Remote Sensing Symposium (IGARSS) ",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1836--1839",
booktitle = "2017 IEEE International Geoscience and Remote Sensing Symposium",
address = "美国",
}