基于HSV与PCA集成的高分影像高大地物阴影检测方法
|
摘要
针对水体、偏蓝色地物会影响高分影像阴影检测精度,本文提出了一种适用于GF-1影像的城市高大地物阴影检测方法。首先,在统计分析GF-1影像中阴影、水体及深色地物等典型地物光谱特征的基础上,利用主成分变换方法分割阴影与非阴影区域,分离后的阴影区域含有水体、深色地物信息;其次,对HSV色彩空间的V分量利用阈值法分割阴影和非阴影区域,分离后结果含有暗色植被,但不含有水体跟深色地物信息。最后,对两次计算结果进行逻辑与运算,从而剔除混合阴影区域中水体、深色地物以及暗色植被等信息,获得高精度阴影区信息。实验表明,该方法具有较好的普适性和可操作性,既能够削弱水体、偏蓝色地的影响,又能够高效、准确地提取出GF-1影像中的阴影信息。
In view of the problem that water and bluish surface features can affect the accuracy of shadow detection,a shadow detection method based on GF-1 remote sensing images was proposed. Firstly,the spectral values of typical surface features such as water bodies and shadows are counted and analyzed in GF-1 images. The shaded areas and non-shaded areas are identified based on principal component transform,but the shadow areas contain water,dark feature information. Secondly,the shaded areas and non-shaded areas are divided based on histogram threshold method for V component in HSV color space. The separation results contain green vegetation,but do not contain water and dark feature information. Finally,using logical operations on the two compound shaded areas.Get the shaded area and non-shaded area binary images. The result indicate that this method not only had high detection accuracy and efficiency for GF-1 images,but weakened the influences of water bodies and bluish of shadows.
In view of the problem that water and bluish surface features can affect the accuracy of shadow detection,a shadow detection method based on GF-1 remote sensing images was proposed. Firstly,the spectral values of typical surface features such as water bodies and shadows are counted and analyzed in GF-1 images. The shaded areas and non-shaded areas are identified based on principal component transform,but the shadow areas contain water,dark feature information. Secondly,the shaded areas and non-shaded areas are divided based on histogram threshold method for V component in HSV color space. The separation results contain green vegetation,but do not contain water and dark feature information. Finally,using logical operations on the two compound shaded areas.Get the shaded area and non-shaded area binary images. The result indicate that this method not only had high detection accuracy and efficiency for GF-1 images,but weakened the influences of water bodies and bluish of shadows.
引文
[1]姚花琴,杨树文,刘正军,等.基于Quick Bird影像的城市高大地物阴影检测方法[J].国土资源遥感,2015,27(2):51-55.
[2]谢军飞,李延明.利用IKONOS卫星图像阴影提取城市建筑物高度信息[J].国土资源遥感,2004,(4):4-6.
[3]杨兴旺,杨树文,张黎明,等.高分辨率遥感影像阴影检测与补偿系统的设计与实现[J].国土资源遥感,2015,27(3):177-181.
[4]徐宏根,宋妍.顾及阴影信息的高分辨率遥感图像变化检测方法[J].国土资源遥感,2013,25(4):16-21.
[5]Tsai V J D.A Comparative Study on Shadow Compensation of Color Aerial Images in Invariant Color models[J].IEEE Transactions on Ueoscience and Remote Sensing,2006,44(6):1 661-1 671.
[6]赵显富,胡晓雯,赵轩.一种基于彩色模型的遥感影像阴影检测方法[J].测绘通报,2014(5):20-22.
[7]姚花琴,杨树文,刘正军,等.一种城市高大地物阴影检测方法[J].测绘科学,2015,40(10):35-39.
[8]姜建国,李婷,杨铃敏,等.C3通道高分辨率遥感图像阴影检测算法的改进[J].计算机辅助设计与图形学报,2015,27(8):1 490-1 497.
[9]刘辉,谢天文,基于PCA与HIS模型的高分辨率遥感影像阴影检测研究[J].遥感技术与应用,2013,28(1):74-84.
[10]王蜜蜂,缪剑,李星全,等,基于RGB和HSI色彩空间的遥感影像阴影补偿算法[J].地理空间信息,2014,12(5):107-110
[11]李媛,张艳珠,渠彪,等.HSV空间特征和纹理特征的阴影检测算法研究[J].沈阳理工大学学报,2012,31(4):11-15.
[12]邓琳,邓明镜,张力树.高分辨率遥感影像阴影检测与补偿方法优化[J].遥感技术与应用2015,30(2):277-284.
[13]杨俊,赵忠明,杨健.一种高分辨率遥感影像阴影去除方法[J].武汉大学学报:信息科学版,2008,33(1):17-20.
[14]王军利,王树根.一种基于RGB彩色空间的影像阴影检测方法[J].信息技术,2002,26(12):7-8.
[15]徐宏根,宋妍.顾及阴影信息的高分辨率遥感图像变化检测方法[J].国土资源遥感,2013,25(4):16-21.
[16]王玥,王树根.高分辨率遥感影像阴影检测与补偿的主成分分析方法[J].应用科学学报,2010,28(2):136-141.
[2]谢军飞,李延明.利用IKONOS卫星图像阴影提取城市建筑物高度信息[J].国土资源遥感,2004,(4):4-6.
[3]杨兴旺,杨树文,张黎明,等.高分辨率遥感影像阴影检测与补偿系统的设计与实现[J].国土资源遥感,2015,27(3):177-181.
[4]徐宏根,宋妍.顾及阴影信息的高分辨率遥感图像变化检测方法[J].国土资源遥感,2013,25(4):16-21.
[5]Tsai V J D.A Comparative Study on Shadow Compensation of Color Aerial Images in Invariant Color models[J].IEEE Transactions on Ueoscience and Remote Sensing,2006,44(6):1 661-1 671.
[6]赵显富,胡晓雯,赵轩.一种基于彩色模型的遥感影像阴影检测方法[J].测绘通报,2014(5):20-22.
[7]姚花琴,杨树文,刘正军,等.一种城市高大地物阴影检测方法[J].测绘科学,2015,40(10):35-39.
[8]姜建国,李婷,杨铃敏,等.C3通道高分辨率遥感图像阴影检测算法的改进[J].计算机辅助设计与图形学报,2015,27(8):1 490-1 497.
[9]刘辉,谢天文,基于PCA与HIS模型的高分辨率遥感影像阴影检测研究[J].遥感技术与应用,2013,28(1):74-84.
[10]王蜜蜂,缪剑,李星全,等,基于RGB和HSI色彩空间的遥感影像阴影补偿算法[J].地理空间信息,2014,12(5):107-110
[11]李媛,张艳珠,渠彪,等.HSV空间特征和纹理特征的阴影检测算法研究[J].沈阳理工大学学报,2012,31(4):11-15.
[12]邓琳,邓明镜,张力树.高分辨率遥感影像阴影检测与补偿方法优化[J].遥感技术与应用2015,30(2):277-284.
[13]杨俊,赵忠明,杨健.一种高分辨率遥感影像阴影去除方法[J].武汉大学学报:信息科学版,2008,33(1):17-20.
[14]王军利,王树根.一种基于RGB彩色空间的影像阴影检测方法[J].信息技术,2002,26(12):7-8.
[15]徐宏根,宋妍.顾及阴影信息的高分辨率遥感图像变化检测方法[J].国土资源遥感,2013,25(4):16-21.
[16]王玥,王树根.高分辨率遥感影像阴影检测与补偿的主成分分析方法[J].应用科学学报,2010,28(2):136-141.