QuickBird 影像城市阴影信息的提取与消除

doi:10.3724/SP.J.1047.2016.00255

摘要/Abstract

摘要：

城市绿地信息在城市研究中的重要作用。但由于各种因素的影响,城市绿地信息提取的精度受到很大的限制,其中,城市中建筑物的阴影是城市绿地信息提取的一个重要限制因素。本研究选取呼和浩特市城区的QuickBird影像,在获取最佳波段组合的基础上,利用多种方法对遥感影像的阴影信息进行提取和消除,以期获得最佳的阴影消除方法,高效地提取城市绿地信息。首先,通过比值运算、波段重组,增强处理影像阴影信息,用最佳指数法分析QuickBird影像阴影提取的最佳波段组合;然后,根据阴影在近红外波段的最小亮度值与最大亮度值的范围建立掩膜,成功提取影像的阴影信息;最后,将色彩空间变换分别与同态滤波和Gamma矫正结合以消除影像阴影,并与其他方法进行对比。研究结果表明,QuickBird影像阴影提取的最佳波段组合为3/4、4、2波段组合,最佳亮度值范围为70-165;色彩空间变换与Gamma矫正相结合的方法可更好地消除阴影,并能较好地保留影像的彩色信息,是消除阴影的最佳方案。

关键词: 最佳波段组合, 灰度线性拉伸, 同态滤波, Gamma矫正, 色彩空间变换, 阴影消除

Abstract:

Urban green space, as the main element of urban structure, plays a very important role in urban studies. In recent years, remote sensing technology has been applied in various industries with its rapid development. It has become one of the major techniques for city information (especially, green space) extraction with the emergence of high-resolution remote sensing images. Compared to the low-resolution images, the high-resolution images have many advantages such as clear texture detail and rich information. However, the existence of shadows in the urban district has a great impact on image classification, interpretation, mapping and so on. Therefore, the building shadows in the images have become one of the important limiting factors for green space extraction. In order to effectively extract city (green space) information from remote sensing images, it is necessary to extract and eliminate shadows from remote sensing images. This study is based on the QuickBird image of Hohhot city. Firstly, by utilizing the methods of band ratio process and band recombination, the image shadow information was enhanced; and the optimal band combinations for shadow extraction were derived using optimum index factor (OIF). Secondly, the image mask was established and the shadow information was extracted based on shadow threshold values (the minimum values and maximum values) of near-infrared band. At last, the shadow was removed by combining color space transformation with homomorphic filter and gamma correction; and then the effects were compared with other methods. The results show that, for shadow extraction, the optimal band combination is a combination of band 3/4, 4 and 2; and the best DN range is between 70 and 165. The method combined with gamma correction and color space transformation can effectively eliminate shadows and retain color information of QuickBird image. It is the best solution for shadow elimination in this study. The results can provide theoretical basis and technical support for efficient city (especially, green space) information extraction based on high-resolution remote sensing images.

Key words: the optimum band combination, gray linear stretch, homomorphic filter, gamma correction, color space transformation, shadow elimination

王冰, 安慧君, 刘怀鹏, 王立军, 贺晓辉. QuickBird 影像城市阴影信息的提取与消除[J]. 地球信息科学学报, 2016, 18(2): 255-262.DOI:10.3724/SP.J.1047.2016.00255

WANG Bing,AN Huijun,LIU Huaipeng,WANG Lijun,HE Xiaohui. Study on City Shadow Extraction and Elimination in QuickBird Images[J]. Journal of Geo-information Science, 2016, 18(2): 255-262.DOI:10.3724/SP.J.1047.2016.00255

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参考文献 24

[1]	Li Y, Gong P, Sasagawa T.Integrated shadow removal based on photogrammetry and image analysis[J]. International Journal of Remote Sensing, 2005,26(18):3911-3929. doi: 10.1080/01431160500159347
[2]	Yao J, Zhang Z M.Hierarchical shadow detection for color aerial images[J]. Computer Vision and Image Understanding, 2006,102(1):60-69. doi: 10.1016/j.cviu.2005.09.003
[3]	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):17-19.
	[ Yang J, Zhao Z M, Yang J. A shadow removal method for high resolution remote sensing image[J]. Geomatics and Information Science of Wuhan University, 2008,33(1):17-19. ]
[4]	Highnam R, Brady M.Model-based image enhancement of far infrared images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997,19:410-415. doi: 10.1109/34.588029
[5]	何凯,赵红颖,刘晶晶,等.基于分形及纹理分析的城市遥感影像阴影去除[J].天津大学学报,2008,41(7):800-804. doi: 10.3969/j.issn.0493-2137.2008.07.007
	[ He K, Zhao H Y, Liu J, et al.Shadow removal of city’s remote sensing image based on fractal and texture analysis[J]. Journal of Tianjin University, 2008,41(7):800-804. ] doi: 10.3969/j.issn.0493-2137.2008.07.007
[6]	王树根,王军利,王爱萍.基于整体变分模型的影像阴影检测算法研究[J].武汉大学学报(信息科学版),2006,31(8):663-666. doi: 10.3321/j.issn:1671-8860.2006.08.002
	[ Wang S G, Wang J L, Wang A P.Shadow detection and extraction from imagery based on total variation[J]. Geomatics and Information Science of Wuhan University, 2006,31(8):663-666. ] doi: 10.3321/j.issn:1671-8860.2006.08.002
[7]	虢建宏,田庆久,吴昀昭.遥感影像阴影多波段检测与去除理论模型研究[J].遥感学报, 2006,10(2):151-159. doi: 10.11834/jrs.20060224
	[ Guo J H, Tian Q J, Wu Y Z. Study on multispectral detecting shadow areas and a theoretical model of removing shadows from remote sensing images[J]. Journal of Remote Sensing, 2006,10(2):151-159. ] doi: 10.11834/jrs.20060224
[8]	蒲智,杨辽,白洁.基于面向对象技术的高分辨率遥感影像的阴影检测与去除[J].遥感技术与应用,2008,23(6):735-738.
	[ Pu Z, Yang L, Bai J.Shadow and detection and removal based on object-oriented method in high spatial resolution remote sensing image[J]. Remote Sensing Technology and Application, 2008,23(6):735-738. ]
[9]	郝宁波,廖海斌.基于同态滤波的高分辨率遥感影像阴影消除方法[J].软件导刊,2010,9(11):200-212.
	[ Hao N B, Liao H B.Shadow removal method based on homomorphic filtering in high spatial resolution remote sensing image[J]. Software Guide, 2010,9(11):200-212. ]
[10]	赵显富,胡晓雯.基于彩色模型的遥感影像阴影检测[J].科学技术与工程,2013,13(18):5101-5107. doi: 10.3969/j.issn.1671-1815.2013.18.005
	[ Zhao X F, Hu X W.Remote sensing images shadow detection based on color models[J]. Science Technology and Engineering, 2013,13(18):5101-5107. ] doi: 10.3969/j.issn.1671-1815.2013.18.005
[11]	Tsai V J D. A comparative study on shadow compensation of color aerial images in invariant color models[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006,44(6):1661-1671. doi: 10.1109/TGRS.2006.869980
[12]	Singh K K, Pal K, Nigam M J.Shadow detection and removal from remote sensing images using NDVI and morphological operators[J]. International Journal of Computer Applications, 2012,42(10):37-40.
[13]	Massalabi A, He D C, Benie G B, et al.Detecting information under and from shadow in panchromatic ikonos images of the city of sherbrooke[C]. IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2004, 2004,3:2000-2003.
[14]	Sarabandi P, Yamazaki F, Matsuoka M, et al.Shadow detection and radiometric restoration in satellite high resolution images[C]. Geoscience and Remote Sensing Symposium. IGARSS. Proceedings. IEEE International, 2004,6:3744-3747.
[15]	Suzuki A, Shio A, Arai H, et al.Dynamic shadow compensation of aerial images based on color and spatial analysis[C]// International Conference on Pattern Recognition. IEEE, 2000,1:1317.
[16]	Su J, Lin, X G, Liu D Z. An automatic shadow detection and compensation method for remote sensed color images[C]// Signal Processing, 2006 8th International Conference on. IEEE, 2006:823-826.
[17]	武文波,刘正纲.一种基于地物波谱特征的最佳波段组合选取方法[J].测绘工程,2007,16(6):22-24. doi: 10.3969/j.issn.1006-7949.2007.06.007
	[ Wu W B, Liu Z G.A method of the best band combination selection based on spectral characteristics of surface features[J]. Engineering of Surveying and Mapping, 2007,16(6):22-24. ] doi: 10.3969/j.issn.1006-7949.2007.06.007
[18]	汪继伟,刘刚,马海涛,等.环境减灾卫星在宏观监测中的最佳波段组合研究[J].中国科技信息, 2011,16:40 doi: 10.3969/j.issn.1001-8972.2011.16.016
	[ Wang J W, Liu G, Ma H T, et al. Optional bands combination of HJ-1A/B satellite to macroscopic monitoring[J]. China Science and Technology Information, 2011,16:40. ] doi: 10.3969/j.issn.1001-8972.2011.16.016
[19]	官凤英,范少辉,邓旺华,等.基于ETM+影像竹林信息提取的最佳波段组合研究[J].竹子研究汇刊,2009,28(3):10-13. doi: 10.3969/j.issn.1000-6567.2009.03.003
	[ Guan F Y, Fan S H, Deng W H, et al.A study on the selection of ETM+ image optimum band combination in information extraction of bamboo forests[J]. Journal of Bamboo Research, 2009,28(3):10-13. ] doi: 10.3969/j.issn.1000-6567.2009.03.003
[20]	张韬,赵宇飞,安慧君,等.ETM+影像提取伏沙地信息的最佳波段组合——以内蒙古锡林郭勒盟西乌旗为例[J].科技导报,2011,29(17):29-33. doi: 10.3981/j.issn.1000-7857.2011.17.002
	[ Zhang T, Zhao Y F, An H J, et al.Selection of ETM+ remote sensing image optimum waveband combination in information extraction of sinking sandy land: the case in Xiwu Flag, Xilin Gol League, InnerMongolia[J]. Science & Technology Review, 2011,29(17):29-33. ] doi: 10.3981/j.issn.1000-7857.2011.17.002
[21]	焦竹青,徐保国.基于同态滤波的彩色图像光照补偿方法[J].光电子·激光,2010,21(4):602-605.
	[ Jiao Z Q, Xu B G.Color image illumination compensation based on homomorphic filtering[J]. Journal of Optoelectronics. Laser, 2010,21(4):602-605. ]
[22]	马义,张成义.基于Matlab的同态滤波器的优化设计[J].应用光学,2010,31(4):584-588. doi: 10.3969/j.issn.1002-2082.2010.04.016
	[ Ma Y, Zhang C Y.Optimal design of homomorphic filter based on matlab[J]. Journal of Applied Optics, 2010,31(4):584-588. ] doi: 10.3969/j.issn.1002-2082.2010.04.016
[23]	焦竹青,徐保国.HSV变换和同态滤波的彩色图像光照补偿[J].计算机工程与应用,2010,46(30):142-144. doi: 10.3778/j.issn.1002-8331.2010.30.042
	[ Jiao Z Q, Xu B G.Color image illumination compensation based on HSV transform and homomorphic filtering[J]. Computer Engineering and Applications, 2010,46(30):142-144. ] doi: 10.3778/j.issn.1002-8331.2010.30.042
[24]	Mishra A K.Gamma correction and perceptual coding of video[J]. STM icro-eletronics, 2005,11(2):1-5.

波段	最小值	最大值	平均值	标准差
波段1	20	1237	194.27	37.68
波段2	0	1653	267.55	69.27
波段3	0	1361	186.95	71.40
波段4	0	1874	189.89	84.59

相关系数	波段 1	波段 2	波段3	波段 4
波段1	1.00
波段2	0.97	1.00
波段3	0.86	0.93	1.00
波段4	0.82	0.89	0.96	1.00

波段组合	标准差和	相关系数和	OIF指数	排序
1、2、3	178.36	2.76	64.58	4
1、2、4	191.54	2.68	71.56	3
1、3、4	193.67	2.64	73.43	2
2、3、4	225.26	2.79	80.86	1

波段组合	标准差和	相关系数和	OIF	排序
4、1/4、1	122.83	1.68	73.05	9
4、1/4、2	154.42	1.85	83.51	4
4、1/4、3	156.55	1.99	78.77	7
4、2/4、1	122.84	1.64	74.82	8
4、2/4、2	154.43	1.80	85.80	3
4、2/4、3	156.56	1.96	80.08	5
4、3/4、1	122.45	1.53	79.84	6
4、3/4、2	154.04	1.67	92.10	1
4、3/4、3	156.17	1.78	87.76	2

分类影像	A	B	C	D	E	F
总体精度/（%）	74.33	88.27	91.80	92.37	94.09	94.91
Kappa系数	0.59	0.76	0.84	0.85	0.88	0.90