测绘学报 ›› 2015, Vol. 44 ›› Issue (1): 39-45.doi: 10.11947/j.AGCS.2015.20130358
曹天扬1,2, 申莉1,2
收稿日期:
2013-12-11
修回日期:
2014-04-16
出版日期:
2015-01-20
发布日期:
2015-01-22
作者简介:
曹天扬(1984-), 男, 博士, 研究方向为信号处理、图像处理、多传感器信息融合等. E-mail: cao_tian_yang@sina.cn
CAO Tianyang1,2, SHEN Li1,2
Received:
2013-12-11
Revised:
2014-04-16
Online:
2015-01-20
Published:
2015-01-22
摘要: 针对识别和定位路面上每辆汽车这一交通遥感图像处理的核心环节,提出一种解决方法.应用光照模型推导出路面、车辆(深浅两类)、汽车阴影在全色遥感影像中的亮度差异与亮度变化特征.以亮度差异为基础建立了能够将车辆区域从路面遥感图像中分割出来的图层分离算法.针对密集行驶的汽车因阴影相互覆盖而容易被误识别为一辆大型车的问题以及浅色车因深色车窗造成的识别结果割裂问题,利用亮度变化特征以及阴影、车窗与汽车的位置关系设计了车辆区域内的阴影和车窗干扰消除算法,通过闭运算实现了遥感图像中的汽车识别与定位.选用10幅交通遥感图像进行了测试,对浅色车的识别率大于92%,对深色车的识别率大于87%.
中图分类号:
曹天扬, 申莉. 应用光照模型的交通车辆识别定位的高分辨率遥感方法[J]. 测绘学报, 2015, 44(1): 39-45.
CAO Tianyang, SHEN Li. High Resolution RS Image Processing Method for Vehicles Recognition and Location According to the Illumination Model[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(1): 39-45.
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