Method of cloud detection with hyperspectral remote sensing image based on the reflective characteristics
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摘要: 为了提高光谱遥感图像数据的利用率,提出了一种基于光谱反射率特性的星载高光谱图像云检测方法。首先分析了各类地物在不同光谱下的反射率特征,根据其特点从星载高光谱图像中选取特定5个波长的图像数据,然后依照图像地物反射率及阈值判定法区分出高云区和中低云区,最后对二者合并,得到目标云区。试验结果表明,该方法的云检测率可达90%以上,虚警率在1%以内,可以准确区分云与雪地区域、沙漠区域以及植被区域,实现云检测。Abstract: To improve the effectiveness of remote-sensing image data, a cloud detection method based on the reflectivity of hyperspectral remote image is proposed. According to the characteristic of the reflectivity between different earth background, image data of five specific wavelengths are chosen, then high-cloud area and low-cloud are determined by judging the threshold of different spectrum. The object cloud area can be obtained by combining the high-cloud and low-cloud areas. The experiment result indicates that the accuracy of cloud detection is more than 90%, while false alarm ratio is less than 1%, which proves that the cloud area can be accurately identified from multiple types of earth background.
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Key words:
- hyperspectral /
- remote sensing image /
- cloud-detection /
- reflectivity
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图 2 基于光谱反射率特性的云检测流程
Figure 2. Flow of cloud detection based on spectral reflective characteristic
图 3 特征提取算法云检测试验结果((a)、(c)、(e)为高光谱图像中的可见光波段图，(b)、(d)、(f)为云检测结果图)
Figure 3. Result of cloud detection based on feature extraction ((a)、(c)、(e) is the original hyperspectral image, while (b)、(d)、(f) is the corresponding test result)
图 4 基于反射率特性的云检测试验结果((a)、(c)、(e)为高光谱图像中的可见光波段图，(b)、(d)、(f)为云检测结果图)
Figure 4. Result of cloud detection based on reflective characteristics((a)、(c)、(e) is the original hyperspectral image, while (b)、(d)、(f) is the corresponding test result)
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[1] [1] 王颖,董戈.一种基于小波边缘检测的CLOUDSAT数据云检测方法研究[J].科学技术与工程,2009,9(13):3847-3849. WANG Y,DONG G. Application research of edge detection in cloud detection using wavelet transform based on C loudsat data[J]. Science Technology and Engineering,2009,9(13):3847-3849.(in Chinese) [2] [2] 李微,方圣辉,佃袁勇,等.基于光谱分析的MODIS云检测算法研究[J].武汉大学学报,2005,30(5):435-438. LI W,FANG S H,DIAN Y Y,et al.. Cloud detection in MODIS data based on spectrum analysis[J]. Geometrics and Information Science of Wuhan University,2005,30(5):435-438.(in Chinese) [3] [3] 马芳,张强,郭铌,等.多通道卫星云图云检测方法的研究[J].大气科学,2007,31(1):120-128. MA F,ZHANG Q,GUO N,et al.. The study of cloud detection with multi-channel data of satellite[J]. Chinese J. Atmospheric Sciences,2007,31(1):120-128.(in Chinese) [4] [4] 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. YAN Y S,LONG T. Real-time cloud detection in optical remote sensing image[J] Transactions of Beijing Institute of Technology,2010,30(7):817-821.(in Chinese) [5] [5] GOODMAN A H,HENDERSON-SELLERS A. Cloud detection and analysis:a review of recent progress[J]. Atmospheric Research,1988,21:20322. [6] [6] CHOI H,BINDSCHADLER R. Cloud detection in Landsat imagery of ice sheets using shadow matching technique and automatic normalized difference snow index threshold value decision[J]. Remote Sensing of Environment,2004,91(2):237-242. [7] [7] MICHAEL K. GRIFFIN,HSIAO-HUA K. BURKE,DAN MANDL,et al.. Cloud cover detection algorithm for EO-1 Hyperion imagery[J]. SPIE,2003,9(24):483. [8] [8] YANG P,LIOU K N,GAO B,et al.. MODIS user manual[J]. NASA,1999:1-30. [9] [9] 田卓,易凡,黄启俊,等.基于MODIS数据的卷云反射率的反演实现[J].光学与光电技术,2012,10(4):73-77. TIAN ZH,YI F,HUANG Q J,et al.. Realization of retrieving the cirrus clouds reflectivity based on MODIS data[J]. Optics & Optoelectronic Technology,2012,10(4):73-77.(in Chinese) [10] [10] 陈道群,黄启俊,易凡,等.中纬度卷云光学特性的研究[J].光学与光电技术,2011,9(4):74-78. CHEN D Q,HUANG Q J,YI F,et al.. Study on optical properties of Mid-Latitude cirrus[J]. Optics & Optoelectronic Technology,2011,9(4):74-78.(in Chinese) [11] [11] 廖子君,杨春平.可见光波段卷云散射特性的研究[J].光学与光电技术,2011,9(6):25-28. LIAO Z J,YANG CH P. Scattering properties of ice clouds in the visible light spectral region[J]. Optics & Optoelectronic Technology,2011,9(6):25-28.(in Chinese) [12] [12] 杨嗣承,易凡,等.基于多重散射的卷云辐射传输特性[J].光学与光电技术,2012,10(1):32-36. YANG S CH,YI F,ZHANG X,et al.. Radiation transmission properties of cirrus based on multiple scattering[J]. Optics & Optoelectronic Technology,2012,10(1):32-36.(in Chinese) [13] [13] 刘洋,田小建,王晴,等.采用局部分形的高效图像分割方法在红外云图处理中的应用[J].光学精密工程,2011,19(6):1368-1374. LIU Y,TIAN X J,WANG Q,et al.. Application of efficient image segmentation method based on local fractal in the infrared cloud image processing[J]. Opt. Precision Eng.,2011,19(6):1368-1374.(in Chinese) [14] [14] 范冬娟,张韶华.高光谱影像反射率反演方法的研究[J].海洋测绘,2006:26(3):28-30. FAN D J,ZHANG SH H. Research on the methods of the reflectivity inversion of the high spectrum image[J]. Hydrographic Surveying and ChartinG,2006:26(3):28-30.(in Chinese) [15] [15] MARK A. FOLKMAN,JAY PEARLMAN,LUSHALAN B. LIAO,et al.. EO-1/Hyperion hyperspectral imager design, development, characterization,and calibration[C]. SPIE,Hyperspectral Remote Sensing of the Land and Atmosphere,Sendai,Japan October.9,2000. -
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