包络线去除的丘陵地区遥感影像阴影信息重建
Mountainous shadow information restoration based on the continuum removed
- 2017年21卷第4期 页码:604-613
纸质出版日期: 2017-7 ,
录用日期: 2016-12-16
DOI: 10.11834/jrs.20176312
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纸质出版日期: 2017-7 ,
录用日期: 2016-12-16
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张甜, 廖和平, 崔林林. 2017. 包络线去除的丘陵地区遥感影像阴影信息重建. 遥感学报, 21(4): 604–613
Zhang T, Liao H P and Cui L L. 2017. Mountainous shadow information restoration based on the continuum removed. Journal of Remote Sensing, 21(4): 604–613
中国西南丘陵常态山和喀斯特山交错分布,遥感影像普遍存在山体阴影,分布零散且无规律,基于DEM的地形校正模型(C校正等)虽然算法成熟、易于操作,但在复杂地形区存在误差。引入基于相似像元包络线的阴影校正方法(CR校正),按照阴影提取、包络线去除、相似像元寻找和阴影亮度重建的步骤,采用西南丘陵地区Landsat 8 OLI影像进行验证实验。结果表明:CR校正后,阴影区的视觉特征与邻近非阴影区趋于一致,阴影像元亮度有明显提升;校正后影像主要波段标准差减小,与非阴影区参考光谱的相对均方根误差在2.919%以内,最低仅为0.516%;自动分类精度从43.59%提高到61.57%,CR校正有效提高了有阴影的丘陵地区遥感影像质量。
Shadow of the remote sensing image is widespread in China southwest hilly area
which has affected the effects of automatic recognition of image computer and quantitative analysis. Topographic correction methods
which are widely used to adjust for differences in solar incidence angles
can partly alleviate the impacts of shadows. But the model based on DEM data has limitations and errors in application
resulting to the scattered and discontinuous images of the terrain correction. In order to overcome the shortcomings of the topographic correction models based on DEM and improve the quality of remote sensing image of southwest hills
the article introduced a new shadow correction methods based on the similar spectral information after continuum removed. The advantage of the method is that it no longer depend on DEM and semi-empirical estimation value
which can maximize the computer automatic identification and the independent access for parameters. Throughout these shadow correction methods
they are based on weak information in the shadow area
and the shadow correction is achieved by establishing a relationship between shadow and non-shadow. As to shadow pixel and non-shadow pixel with the same surface land cover types
their spectral curve is similar and only brightness (continuum information) is different. In order to establish relationship of spectral statistic feature between shadow pixel and non-shadow pixel
the spectral information is recovered by the similar pixel of shadow pixel and by the principle of using surface features spectrum envelope line to remove the continuum line. The article introduced a new shadow correction methods based on the similar spectral information after continuum removed
and experiment it on Landsat 8 OLI image by shadow extraction
continuum removing
searching for similar pixel
shadow information restoration. And the calibration accuracy was tested by visual evaluation
statistical analysis
comparative verification and automatic classification. By comparing the images of C-method correction and CR-method correction
the visual feature of the two images tend to be flat
and the image details of shadow area tend to be obvious. After CR-method shadow correction
the pixel brightness value of shadow area gets a more complete compensation
and the image brightness converges with the shadow area
and it makes the shadow area visual characteristics more consistent with the near shadow area. At the same time
the standard deviation of the image tend to drop after CR-method correction
making the pixel brightness value of the slopes closer. CR-method is better than C-method for terrain shadow elimination and slope and luminance values of homogenization
which relative root mean square error(rRMSE) of sample point in per land use cover type is within 2.919% compared with unshaded pixels
and the minimum is only 0.516%. the automatic classification accuracy of CR-method correction
calculating the number of right and wrong pixels
has increased from 43.59% to 61.57%. The experiment of CR-method shadow correction in complex hilly terrain region has achieved good effect
and has improved the quality of remote sensing image with mountain shadow.
阴影校正包络线去除信息增强Landsat 8 OLI影像西南丘陵
shadow correctioncontinuum removalInformation enhancementLandsat 8 OLI imageChina Southwest Hilly region
白继伟, 赵永超, 张兵, 童庆禧, 郑兰芬. 2003. 基于包络线消除的高光谱图像分类方法研究. 计算机工程与应用, 39(13): 88–90, 128
Bai J W, Zhao Y C, Zhang B, Tong Q X and Zheng L F. 2003. Study on the classification methods of the hyperspectral image based on the continuum removed. Computer Engineering and Applications, 39(13): 88–90, 128
Chen J, Zhu X L, Vogelmann J E, Gao F and Jin S M. 2011. A simple and effective method for filling gaps in Landsat ETM+ SLC-off images. Remote Sensing of Environment, 115(4): 1053–1064
Chen Y, Wen D, Jing L and Shi P. 2007. Shadow information recovery in urban areas from very high resolution satellite imagery. International Journal of Remote Sensing, 28(15): 3249–3254
段光耀, 宫辉力, 李小娟, 陈蓓蓓. 2014. 结合特征分量构建和面向对象方法提取高分辨率卫星影像阴影. 遥感学报, 18(4): 760–770
Duan C Y, Gong H L, Li X J and Chen B B. 2014. Shadow extraction based on characteristic components and object-oriented method for high-resolution images. Journal of Remote Sensing, 18(4): 760–770
Espindola G M, Câmara G, Reis I A, Bins L S and Monteiro A M. 2006. Parameter selection for region‐growing image segmentation algorithms using spatial autocorrelation. International Journal of Remote Sensing, 27(14): 3035–3040
Gao Y N and Zhang W C. 2009. A simple empirical topographic correction method for ETM+ imagery. International Journal of Remote Sensing, 30(9): 2259–2275
Ge H L, Lu D S, He S Z, Xu A J, Zhou G M and Du H Q. 2008. Pixel-based Minnaert correction method for reducing topographic effects on a Landsat 7 ETM+ image. Photogrammetric Engineering and Remote Sensing, 74(11): 1343–1350
虢建宏, 田庆久, 吴昀昭. 2006. 遥感影像阴影多波段检测与去除理论模型研究. 遥感学报, 10(2): 151–159
Guo J H, Tian Q J and Wu Y Z. 2006. Study on multispectral detecting shadow areas and a theoretical model of removing shadows from remote sensing images. Journal of Remote Sensing, 10(2): 151–159
Hantson S and Chuvieco E. 2011. Evaluation of different topographic correction methods for Landsat imagery. International Journal of Applied Earth Observation and Geoinformation, 13(5): 691–700
Liu W and Yamazaki F. 2012. Object-based shadow extraction and correction of high-resolution optical satellite images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5(4): 1296–1302
刘兆祎, 李鑫慧, 沈润平, 朱枫, 张凯, 王恬, 王媛媛. 2014. 高分辨率遥感图像分割的最优尺度选择. 计算机工程与应用, 50(6): 144–147
Liu Z Y, Li X H, Shen R P, Zhu F, Zhang K, Wang T and Wang Y Y. 2014. Selection of the best segmentation scale in high-resolution image segmentation. Computer Engineering and Applications, 50(6): 144–147
Mielke C, Boesche N K, Rogass C, Kaufmann H and Gauert C. 2015. New geometric hull continuum removal algorithm for automatic absorption band detection from spectroscopic data. Remote Sensing Letters, 6(2): 97–105
穆悦, 安裕伦, 王喆, 高翔. 2014. 不同地形校正模型计算地形复杂山区地表反射率的对比. 山地学报, 32(3): 257–266
Mu Y, An Y L, Wang Z and Gao X. 2014. Comparison of different topographic correction models for surface reflectance calculating in rugged terrain area. Mountain Research, 32(3): 257–266
Richter R, Kellenberger T and Kaufmann H. 2009. Comparison of topographic correction methods. Remote Sensing, 1(3): 184–196
Shahtahmassebi A, Yang N, Wang K, Moore N and Shen Z Q. 2013. Review of shadow detection and de-shadowing methods in remote sensing. Chinese Geographical Science, 23(4): 403–420
谭志存, 鲁瑞华. 2009. 基于最大类间方差的图像分割改进遗传算法. 西南大学学报(自然科学版), 31(1): 87–90
Tan Z C and Lu R H. 2009. An improved genetic algorithm for image segmentation based on maximum interclass variance. Journal of Southwest University(Natural Science Edition), 31(1): 87–90
Teillet P M, Guindon B and Goodenough D G. 1982. On the slope-aspect correction of multispectral scanner data. Canadian Journal of Remote Sensing, 8(2): 84–106
Wen Z F, Shao G F, Mirza Z A, Chen J L, Lü M Q and Wu S J. 2015. Restoration of shadows in multispectral imagery using surface reflectance relationships with nearby similar areas. International Journal of Remote Sensing, 36(16): 4195–4212
温兆飞, 吴胜军, 陈吉龙, 吕明权, 姜毅. 2016. 辐射特征支持下的城市高分影像阴影校正. 遥感学报, 20(1): 138–148
Wen Z F, Wu S J, Chen J L, Lv M Q and Jiang Y. 2016. Radiance transfer process-based shadow correction method for urban regions in high spatial resolution image. Journal of Remote Sensing, 20(1): 138–148
Yamazaki F, Liu W and Takasaki M. 2009. Characteristics of shadow and removal of its effects for remote sensing imagery // 2009 IEEE International Geoscience and Remote Sensing Symposium. Cape Town: IEEE: IV-426-IV-429 [DOI: 10.1109/IGARSS. 2009.5417404]
杨奇勇, 马祖陆, 蒋忠诚, 罗为群, 谢运球. 2012. 峰丛洼地遥感图像山体阴影缺失的克里格修复. 国土资源遥感, 20(4): 112–116
Yang Q Y, Ma Z L, Jiang Z C, Luo W Q and Xie Y Q. 2012. Restoration of missing information of mountain shadow on remote sensing images in Peak Cluster Karst Area based on Kriging. Remote Sensing for Land and Resources, 20(4): 112–116
Zhou Y, Chen J, Guo Q H, Cao R Y and Zhu X L. 2014. Restoration of information obscured by mountainous shadows through Landsat TM/ETM+ images without the use of DEM data: a new method. IEEE Transactions on Geoscience and Remote Sensing, 52(1): 313–328
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