An Automatic Cloud Detection Method for ZY-3 Satellite

doi:10.11947/j.AGCS.2015.20130384

Abstract

Abstract:

Automatic cloud detection for optical satellite remote sensing images is a significant step in the production system of satellite products. For the browse images cataloged by ZY-3 satellite, the tree discriminate structure is adopted to carry out cloud detection. The image was divided into sub-images and their features were extracted to perform classification between clouds and grounds. However, due to the high complexity of clouds and surfaces and the low resolution of browse images, the traditional classification algorithms based on image features are of great limitations. In view of the problem, a prior enhancement processing to original sub-images before classification was put forward in this paper to widen the texture difference between clouds and surfaces. Afterwards, with the secondary moment and first difference of the images, the feature vectors were extended in multi-scale space, and then the cloud proportion in the image was estimated through comprehensive analysis. The presented cloud detection algorithm has already been applied to the ZY-3 application system project, and the practical experiment results indicate that this algorithm is capable of promoting the accuracy of cloud detection significantly.

Key words: cloud detection, histogram equalization, feature extraction, multi-scale

CLC Number:

P237

CHEN Zhenwei, ZHANG Guo, NING Jinsheng, TANG Xinming. An Automatic Cloud Detection Method for ZY-3 Satellite[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(3): 292-300.

References

[1] 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.(潘红播, 张过, 唐新明,等. 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.)
[2] HARUMA I, TAKASHI Y N. Development of an Unbiased Cloud Detection Algorithm for a Spaceborne Multispectral Imager[J]. Journal of Geophysical Research-Atmospheres, 2009. DOI: 10.1029/2008JD010710.
[3] YANG Tieli, HE Quanjun. Cloud Detection in MODIS Data[J].Journal of Anshan University of Science and Technology, 2006(2):162-166.(杨铁利,何全军. MODIS数据的云检测处理[J]. 鞍山科技大学学报, 2006(2):162-166.)
[4] PASQUALE L S, MICHELLE A B, JOHN L D. Development of the Landsat Data Continuity Mission Cloud-Cover Assessment Algorithms[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(4):1140-1154.
[5] PAN Cong, XIA Bin, CHEN Yu,et al. Cloud Detection of MODIS Data Based on FCM[J]. Microcomputer Information, 2009(4):124-125,131.(潘聪,夏斌,陈彧,等. 基于模糊聚类的MODIS云检测算法研究[J]. 微计算机信息, 2009(4):124-125,131.)
[6] GUO Hongtao, WANG Yi, LIU Xiangpei,et al. Integrated Optimal Method of Cloud Detection with Meteorological Satellite Data[J]. Journal of PLA University of Science and Technology(Natural Science Edition), 2010,11(2):221-227.(郭洪涛,王毅,刘向培,等. 卫星云图云检测的一种综合优化方法[J]. 解放军理工大学学报(自然科学版), 2010,11(2):221-227.)
[7] YAN Yusong, LONG Teng. Real-Time Cloud Detection in Optical Remote Sensing Image[J]. Transactions of Beijing Institute of Technology, 2010, 30(7):817-821.(闫宇松, 龙腾. 遥感图像的实时云判技术[J]. 北京理工大学学报, 2010, 30(7):817-821.)
[8] ZHOU Quan. The Classification of Remote Sensing Cloud Images Based on Multiscale Features[D]. Hefei: University of Science and Technology of China, 2010.(周全. 基于多尺度特征的遥感云图分类[D].合肥: 中国科学技术大学, 2010.)
[9] ZHOU Lijuan. Cloud Detection Algorithm Research For Optical Satellite Image[D]. Xi'an: XiDian University, 2012.(周丽娟. 可见光卫星图像的云检测算法研究[D].西安:西安电子科技大学, 2012.)
[10] CHEN P Y, SRINIVASAN R, FEDOSEJEVS G, et al. An Automated Cloud Detection Method for Daily NOAA-14 AVHRR Data for Texas, USA[J]. Remote Sensing, 2002, 23(15):2939-2950.
[11] 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.(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.)
[12] SHEN 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.
[13] 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):90-93.(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):90-93.)
[14] XIA Deshen, JIN Sheng, WANG Jian. Fractal Dimension and GGCM Based Meteorology Cloud Pictures Recognition- Description 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.(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.)
[15] CHEN Peng, ZHANG Rong, LIU Zhengkai. Feature Detection for Cloud Classification in Remote Sensing Images[J]. Journal of University of Science and Technology of China, 2009(5):484-488. (陈鹏, 张荣, 刘政凯. 遥感图像云图识别中的特征提取[J]. 中国科学技术大学学报, 2009(5):484-488.)
[16] GONZALEZ C R. Digital Image Processing[M]. 2nd ed. Beijing: Electronic Industry Press, 2008:72-74.(冈萨雷斯. 数字图像处理[M]. 第2版. 北京:电子工业出版社, 2008:72-74.)
[17] WALKER R F, JACKWAY P T, LONGSTAFF I D. Recent Developments in the Use of the Co-occurrence Matrix for Texture Recognition[C]//Proceedings of 13th International Conference on Digital Image Processing.[S.l.]:IEEE,1997:63-65.
[18] FENG Jianhui,YANG Yujing. Study of Texture Images Extraction Based on Gray Level Co-occurence Matrix[J]. Beijing Surveying and Mapping,2007(3):19-22.(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.)
[19] ZHOU Quan, ZHANG Rong, YIN Dong. The Extracting of Multiscale Features of Remote Sensing Cloud Images Based on Gaussian Pyramid[J]. Remote Sensing Technology and Application, 2010(5):604-608.(周全, 张荣, 尹东. 基于高斯金字塔的遥感云图多尺度特征提取[J]. 遥感技术与应用, 2010(5):604-608.)
[20] JIA Yonghong. Digital Image Processing[M]. Wuhan:Wuhan University Press, 2003:182-184.(贾永红. 数字图像处理[M]. 武汉: 武汉大学出版社, 2003 :182-184.)