- 软件名称：高分辨率遥感影像阴影检测与补偿方法优化
- 软件大小： 0.00 B
- 软件评级： ★★★
- 开 发 商： 邓琳，邓明镜，张力树
- 软件来源： 《遥感技术与应用》
- 解压密码：www.gissky.net
资源简介
摘要： 针对现有阴影检测误检水体为阴影及阴影增强导致非阴影区域信息改变的问题,提出基于统计信息分析的主成分变换水体识别与剔除方法,并结合蓝光抑制算法和阴影同质区统计信息实现阴影补偿。首先使用归一化阴影指数(Normalized Difference Umbra Index,NDUI)实现阴影区域的初始检测,然后利用主成分变换后水体统计信息与阴影统计信息的差异实现水体的识别与去除,并结合小区域去除和数学形态学方法完成阴影区域的检测,最后使用蓝光抑制算法和阴影同质区的统计信息分别对H、I、S分量补偿,并将结果转换回RGB色彩空间完成阴影补偿。以不同地区的高分辨率WorldView2影像和UltraCam D影像对提出的方法进行测试,结果表明:该方法可有效解决水体误检测为阴影的问题,且能够降低阴影补偿对非阴影区域的影响。 关键词： HIS变换; 阴影检测; 主成分变换; 阴影补偿 Abstract: This paper proposed a method of identifying and eliminating water regions from shadows in remote sensing images based on statistical information of principal component analysis,and a method of shadow achieved compensation by combining the blue\|ray suppression algorithms and the statistical information of the companion regions.This paper first carried out the initial detection of shadow regions by utilizing the Normalized Difference Umbra Index(NDUI),and then identifyied and removed the water regions according to the statistics information difference of the water and shadow regions after principal component transformation,followed the accurate shadow masking by small regions removal and morphological algorithms.Subsequently,H,I and S components are compensated by blue\|ray suppression algorithms and statistical information of the companion regions.Finally,the results are converted back to RGB color space to complete shadow compensation.The methods proposed in this paper are tested by using the high\|resolution images of WorldView2 and UltraCam D.The results show that the proposed methods can effectively distinguish shadow regions from water regions and reduce the impact from the compensation process to the non\|shaded regions.相关资源
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