Acta Geodaetica et Cartographica Sinica >

2016 , Vol. 45 >Issue 5: 581 - 591

DOI: https://doi.org/10.11947/j.AGCS.2016.20150500

Automatic Cloud Detection for Chinese High Resolution Remote Sensing Satellite Imagery

  • TAN Kai ,
  • ZHANG Yongjun ,
  • TONG Xin ,
  • KANG Yifei
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  • School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaAbstract

Received date: 2015-10-14

  Revised date: 2016-02-17

  Online published: 2016-05-30

Supported by

The National Natural Science Foundation of China (Nos.41322010;41571434);The National High-teh Research and Development Program of China (863 Program) (No.2013AA12A401).

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Abstract

Cloud detection is always an arduous problem in satellite imagery processing, especially the thin cloud which has the similar spectral characteristics as ground surfacehas long been the obstacle of the production of imagery product. In this paper, an automatic cloud detection method for Chinese high resolution remote sensing satellite imagery is introduced to overcome this problem.Firstly, the image is transformed from RGB to HIS color space by an improved color transformation model. The basic cloud coverage figure is obtained by using the information of intensity and saturation,followed by getting the modified figure with the information of near-infrared band and hue. Methods of histogram equalization and bilateral filtering, combined with conditioned Otsu thresholding are adopted to generate texture information. Then the cloud seed figureis obtained by using texture information to eliminate the existed errors in the modified figure. Finally, cloud covered areas are accurately extracted by integration of intensity information from the HIS color space and cloud seed figure. Compared to the detection results of other automatic and interactive methods, the overall accuracy of our proposed method achieves nearly 10% improvement, and it is capable of improving the efficiency of cloud detection significantly.

Key words： Chinese satellite imagery; cloud detection; improved HIS model; bilateral filtering; Otsu thresholding

Cite this article

TAN Kai , ZHANG Yongjun , TONG Xin , KANG Yifei . Automatic Cloud Detection for Chinese High Resolution Remote Sensing Satellite Imagery[J]. Acta Geodaetica et Cartographica Sinica, 2016 , 45(5) : 581 -591 . DOI: 10.11947/j.AGCS.2016.20150500

References

[1] 潘红播,张过,唐新明.资源三号测绘卫星传感器校正产品几何模型[J].测绘学报,2013,42(4):516-522. PAN Hongbo,ZHANG Guo,TANG Xinming,et al. The Geometrical Model of Sensor Corrected Products for ZY-3 Satellite[J].Acta Geodaetica et Cartographica Sinica,2013,42(4):516-522.
[2] CHEN P Y, SRINIVASAN R, FEDOSEJEVS G, et al. An Automated Cloud Detection Method for Daily NOAA-14 AVHRR Data for Texas, USA[J]. International Journal of Remote Sensing, 2002, 23(15): 2939-2950.
[3] OTSU N.A Threshold Selection Method from Gray-level Histograms[J]. Automatica, 1975, 11(285-296): 23-27.
[4] ZHU Zhe, WOODCOCK C E. Object-based Cloud and Cloud Shadow Detection in LandSat Imagery[J]. Remote Sensing of Environment, 2012, 118: 83-94.
[5] PANEM C, BAILLARIN S, LATRY C, et al. Automatic Cloud Detection on High Resolution Images[C]//Proceedings of IEEE International Geoscience and Remote Sensing Symposium. Seoul: IEEE, 2005: 1-4.
[6] 高贤君, 万幼川, 郑顺义, 等. 航空摄影过程中云的实时自动检测[J]. 光谱学与光谱分析, 2014, 34(7): 1909-1913. GAO Xianjun, WAN Youchuan, ZHENG Shunyi, et al.Real-time Automatic Cloud Detection during the Process of Taking Aerial Photographs[J]. Spectroscopy and Spectral Analysis, 2014, 34(7): 1909-1913.
[7] 秦永, 付仲良, 周凡, 等. 一种利用TM影像自动检测云层的方法[J]. 武汉大学学报(信息科学版), 2014, 39(2): 234-238. QIN Yong, FU Zhongliang, ZHOU Fan, et al.A Method of Automatic Cloud Detection Using TM Image[J]. Geomatics and Information Science of Wuhan University, 2014, 39(2): 234-238.
[8] 刘健. FY-2云检测中动态阈值提取技术改进方法研究[J]. 红外与毫米波学报, 2010, 29(4): 288-292. LIU Jian.Improvement of Dynamic Threshold Value Extraction Technic in FY-2 Cloud Detection[J]. Journal of Infrared and Millimeter Waves, 2010, 29(4): 288-292.
[9] 单娜, 郑天垚, 王贞松. 快速高准确度云检测算法及其应用[J]. 遥感学报, 2009, 13(6): 1138-1155. SHAN Na, ZHENG Tianyao, WANG Zhensong. High-speed and High-accuracy Algorithm for Cloud Detection and Its Application[J]. Journal of Remote Sensing, 2009, 13(6): 1138-1155.
[10] CHEN Gang, E Dongchen.Support Vector Machines for Cloud Detection over Ice-snow Areas[J]. Geo-spatial Information Science, 2007, 10(2): 117-120.
[11] 梁栋, 孔颉, 胡根生, 等. 基于支持向量机的遥感影像厚云及云阴影去除[J]. 测绘学报, 2012, 41(2): 225-231, 238. LIANG Dong, KONG Jie, HU Gensheng, et al. The Removal of Thick Cloud and Cloud Shadow of Remote Sensing Image Based on Support Vector Machine[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(2): 225-231, 238.
[12] VENKATESWARLU N B,SINGH R P.A Fast Maximum Likelihood Classifier[J]. International Journal of Remote Sensing, 1995, 16(2): 313-320.
[13] 张波, 季民河, 沈琪. 基于小波变换的高分辨率快鸟遥感图像薄云去除[J]. 遥感信息, 2011(3): 38-43. ZHANG Bo, JI Minhe, SHEN Qi. Wavelet-based Cloud Removal from High resolution Remote Sensing Data: An Experiment with QuickBird Imagery[J]. Remote Sensing Information, 2011(3): 38-43.
[14] 陶淑苹, 金光, 张贵祥, 等. 实现遥感相机自主辨云的小波SCM算法[J]. 测绘学报, 2011, 40(5): 598-603. TAO Shuping, JIN Guang, ZHANG Guixiang, et al.A Wavelet SCM Algorithm Used to Detect Cloud in Remote Sensing Cameras[J]. Acta Geodaetica et Cartographica Sinica, 2011, 40(5): 598-603.
[15] 陈奋, 闫冬梅, 赵忠明. 基于无抽样小波的遥感影像薄云检测与去除[J]. 武汉大学学报(信息科学版), 2007, 32(1): 71-74. CHEN Fen, YAN Dongmei, ZHAO Zhongming. Haze Detection and Removal in Remote Sensing Images Based on Undecimated Wavelet Transform[J]. Geomatics and Information Science of Wuhan University, 2007, 32(1): 71-74.
[16] 陈振炜, 张过, 宁津生, 等. 资源三号测绘卫星自动云检测[J]. 测绘学报, 2015, 44(3): 292-300.DOI: 10.11947/j.AGCS.2015.20130384. CHEN Zhenwei, ZHANG Guo, NING Jinsheng, et al. An Automatic Cloud Detection Method for ZY-3 Satellite[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(3): 292-300. DOI: 10.11947/j.AGCS.2015.20130384.
[17] 吴更石, 梁德群, 田原. 基于分形维数的纹理图像分割[J]. 计算机学报, 1999, 22(10): 1109-1113. WU Gengshi, LIANG Dequn, TIAN Yuan. Texture Image Segmentation Using Fractal Dimension[J]. Chinese Journal of Computers, 1999, 22(10): 1109-1113.
[18] 冯建辉, 杨玉静. 基于灰度共生矩阵提取纹理特征图像的研究[J]. 北京测绘, 2007(3): 19-22. FENG Jianhui, YANG Yujing. Study of Texture Images Extraction Based on Gray Level Co-occurrence Matrix[J]. Beijing Surveying and Mapping, 2007(3): 19-22.
[19] 夏德深, 金盛, 王健. 基于分数维与灰度梯度共生矩阵的气象云图识别(I):分数维对纹理复杂度和粗糙度的描述[J]. 南京理工大学学报, 1999, 23(3): 278-281. XIA Deshen, JIN Sheng, WANG Jian. Fractal Dimension and GGCM Based Meteorology Cloud Pictures Recognition——Description of Texture Complexity and Roughness by Fractal Dimension(I)[J]. Journal of Nanjing University of Science and Technology, 1999, 23(3): 278-281.
[20] 夏德深, 金盛, 王健. 基于分数维与灰度梯度共生矩阵的气象云图识别(II):灰度梯度共生矩阵对纹理统计特征的描述[J]. 南京理工大学学报, 1999, 23(4): 289-292. XIA Deshen, JIN Sheng, WANG Jian. Fractal Dimension and GGCM Meteorology Cloud Pictures Recognition——Deshcription of Texture Statistical Characteristics by Gray Level-gradient Co-occurrence Matrix(Ⅱ)[J]. Journal of Nanjing University of Science and Technology, 1999, 23(4): 289-292.
[21] ZHANG Qing, XIAO Chunxia. Cloud Detection of RGB Color Aerial Photographs by Progressive Refinement Scheme[J]. Journal of Latex Class Files, 2012, 11(4): 1-12.
[22] 黎曦, 郑宏, 刘操. 利用HSI色彩空间的PCNN人脸识别方法[J]. 武汉大学学报(信息科学版), 2014, 39(12): 1499-1503. LI Xi, ZHENG Hong, LIU Cao. A Method of Face Recognition Based on HIS-PCNN[J]. Geomatics and Information Science of Wuhan University, 2014, 39(12): 1499-1503.
[23] 徐逸祥, 朱子豪, 刘英毓. 卫星影像的云雾检测及干扰去除[J]. 国土资源遥感, 2006(3): 23-28. XU Yixiang, ZHU Zihao, LIU Yingyu. Developing Technique for the Detection and Removal of Cloud and Haze in Satellite Images[J]. Remote Sensing for Land &Resources, 2006(3): 23-28.
[24] BOYKOV Y Y, JOLLY M P. Interactive Graph Cuts for Optimal Boundary & Region Segmentation of Objects in N-D Images[C]//Proceedings of the 8th IEEE International Conference on Computer Vision. Vancouver, BC:IEEE, 2001, 1: 105-112.
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