本文選題：道路提取　切入點(diǎn)：高分辨率衛(wèi)星影像　出處：《測繪與空間地理信息》2016年11期

【摘要】：遙感影像上的道路提取是攝影測量與計(jì)算機(jī)視覺研究的一項(xiàng)重要內(nèi)容,本文設(shè)計(jì)了一種高分辨率衛(wèi)星影像道路提取方法,首先,利用Canny邊緣提取算子提取左影像上的邊緣,并利用霍夫變換對線特征進(jìn)行檢測,根據(jù)道路的幾何特性檢測平行直線,再基于影像匹配方法匹配立體像對上的道路;然后,利用衛(wèi)星影像RPC參數(shù)前方交會原理實(shí)現(xiàn)道路的幾何定位。利用Pleiades衛(wèi)星影像開展試驗(yàn),自動提取的道路與人工采集的道路幾何定位誤差在1個像素以內(nèi),試驗(yàn)結(jié)果驗(yàn)證了本文方法的有效性。
[Abstract]:Road extraction from remote sensing images is an important part of photogrammetry and computer vision research. In this paper, a high resolution satellite image road extraction method is designed. Firstly, Canny edge detection operator is used to extract the edge of the left image. Hough transform is used to detect the line features, parallel lines are detected according to the geometric characteristics of the road, and then the stereo alignment is matched based on the image matching method. Then, The geometric positioning of road is realized by using the principle of intersection of RPC parameters of satellite image, and the geometric positioning error of automatically extracted road and manually collected road is less than 1 pixel by using Pleiades satellite image to carry out the experiment. The experimental results show that the proposed method is effective.
【作者單位】： 河南省測繪地理信息局信息中心;
【基金】：遙感衛(wèi)星影像道路技術(shù)項(xiàng)目(2014AA7033049)資助
【分類號】：P237
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本文編號：1683063