测绘科学技术学报2017，Vol.34Issue(2)：204-210,7.DOI:10.3969/j.issn.1673-6338.2017.02.016
一种顾及空间关系的遥感影像阴影检测算法
A Shadow Detection Method of Remote Sensing Image Combing with Spatial Relationship
摘要
Abstract
In order to solve the problem that current shadow detection algorithms are easily disturbed in complex terrain environment,a new shadow detection method for remote sensing image whose major shadow regions are caused by tall buildings in urban is proposed,which is also based on color space features and spatial relations.Firstly,a super-pixel algorithm named SLIC is used to realize the image segmentation.And then a number of detection conditions which are based on either Lab or HSI color space are built to divide image into two sections,which are called as the primary area of the shadow region and the region to be detected.The super-pixels in the regions to be detected are merged with information from edge detection by Canny operator.Finally,spatial relations between shadow regions and regions that make interference are used to built a new detection condition.The experimental results show that this method can effectively improve shadow detection results of remote sensing image in complex environment which can be quantized by correct detection ratio,leak detection ratio and error detection ratio.关键词
阴影检测/SLIC超像素分割/色彩空间/空间关系/Canny算子Key words
shadow detection/SLIC super-pixel segment/color space/spatial relationship/Canny operator分类
天文与地球科学引用本文复制引用
韩雪松,江刚武,张一..一种顾及空间关系的遥感影像阴影检测算法[J].测绘科学技术学报,2017,34(2):204-210,7.基金项目
国家自然科学基金项目(41471387 （）
41301526) （）
地理信息工程国家重点实验室开放基金项目(SKLGIE2015-M-3-1). （SKLGIE2015-M-3-1）
