地基可见光/红外全天空成像仪数据融合
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摘要
采用60m基线的双站可见光成像仪和扫描式红外成像仪构建地基双波段全天空测云系统,双站可见光成像仪根据双站测距原理准确地获取云底高,通过全方位立体扫描获取全天空可见光云图,扫描式红外成像仪基于大气辐射传输原理测量云底亮温,反演云底高度,通过全方位立体扫描获取全天空红外云图。结合双站可见光成像仪测得云底高,对大气温度垂直递减率进行实时订正,提高扫描式红外成像仪反演云底高精度,达到双波段云底高数据融合目的;基于小波变换多分辨率分析的图像融合技术,对全天空可见光和红外云图进行图像融合,提高能见度低、以及雾、霾等天气条件下云量计算准确度;最终实现昼夜云高、云量同时观测。
Using 60 mbase-line binocular visible imager and scanning infrared imager,a dual-band whole sky cloud measurement and control system was built.According to the principle of binocular distance measurement,the binocular visible imager can accurately obtain the height of cloud base,and through comprehensive three-dimensional scanning the whole sky visible light cloud pictures were obtained.The scanning infrared imager can measure the temperature of cloud base and inverse the height of cloud base on the basis of the principle of atmospheric radiation transmission,and through comprehensive three-dimensional scanning,the whole sky infrared cloud pictures were obtained.Combined with the height of cloud base and the real-time correction of atmospheric temperature vertical decline rate,the binocular visible imager could measure the height of cloud base,improve the accuracy of inversion the height of cloud base of the scanning infrared imager,achieving the height of cloud base data fusion.Based on image fusion technology of wavelet multi-resolution analysis,the whole sky visible light and infrared cloud image are fused,improving cloud computing accuracy under the fog-haze conditions.Thus,cloud base height and cloud cover could be observed day and night.
Using 60 mbase-line binocular visible imager and scanning infrared imager,a dual-band whole sky cloud measurement and control system was built.According to the principle of binocular distance measurement,the binocular visible imager can accurately obtain the height of cloud base,and through comprehensive three-dimensional scanning the whole sky visible light cloud pictures were obtained.The scanning infrared imager can measure the temperature of cloud base and inverse the height of cloud base on the basis of the principle of atmospheric radiation transmission,and through comprehensive three-dimensional scanning,the whole sky infrared cloud pictures were obtained.Combined with the height of cloud base and the real-time correction of atmospheric temperature vertical decline rate,the binocular visible imager could measure the height of cloud base,improve the accuracy of inversion the height of cloud base of the scanning infrared imager,achieving the height of cloud base data fusion.Based on image fusion technology of wavelet multi-resolution analysis,the whole sky visible light and infrared cloud image are fused,improving cloud computing accuracy under the fog-haze conditions.Thus,cloud base height and cloud cover could be observed day and night.
引文
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章文星,吕达仁,宣越健,等,2010.利用扫描式红外亮温仪对天空云量的试验观测[J].气象学报,68(6):808-821.
赵静,曹晓钟,代桃高,等,2017.毫米波云雷达与探空测云数据对比分析[J].气象,43(1):101-107.
周毓荃,欧建军,2010.利用探空数据分析云垂直结构的方法及其应用研究[J].气象,36(11):50-58.
Buch K A Jr,Sun C H,1995.Cloud classification using whole-sky imager data[C]∥Proceedings of the Ninth Symposium on Meteorological Observations and Instrumentation.Charlotte,NC,USA:USDOE:353-358.
Lewis J J,O'CallaghanR J,Nikolov S G,et al,2004.Region-based image fusion using complex wavelets[C]∥Proceedings of the Seventh International Conference on Information Fusion.Stockholm,Sweden:International Society of Information Fusion:487-496.
Su M S,Hwang W L,Cheng K Y,2004.Analysis on multiresolution mosaic images[J].IEEE Trans Image Process,13(7):952-959.
Zomet A,Levin A,Peleg S,et al,2006.Seamless image stitching by minimizing false edges[J].IEEE Trans Image Process,15(4):969-977.
高太长,刘磊,赵世军,等,2010.全天空测云技术现状及进展[J].应用气象学报,21(1):101-109.
胡树贞,马舒庆,陶法,等,2012.地基双波段测云系统及其对比试验[J].应用气象学报,23(4):441-450.
胡树贞,马舒庆,陶法,等,2013.基于红外实时阈值的全天空云量观测[J].应用气象学报,24(2):179-188.
李思腾,马舒庆,高玉春,等,2015.毫米波云雷达与激光云高仪观测数据对比分析[J].气象,41(2):212-218.
李肖霞,王柏林,郭伟,等,2016.激光云高仪试验数据对比分析[J].气象,42(6):764-769.
刘贵喜,赵曙光,陈文锦,2004.红外与可见光图像融合的多分辨率方法[J].光电子·激光,15(8):980-984.
马占山,刘奇俊,秦琰琰,等,2008.云探测卫星CloudSat[J].气象,34(8):105-111.
史金霞,王铮,2005.一种拼接缝消除方法[J].现代电子技术,28(13):115-117,120.
孙晓钢,孙学金,牛珍聪,等,2008.全天空云图获取的一种方式及算法实现[J].气象科学,28(3):338-341.
谭涌波,陶善昌,吕伟涛,等,2005.双站数字摄像测量云高[J].应用气象学报,16(5):629-637.
陶冰洁,王敬儒,张启衡,2004.采用仿射变换的红外与可见光图像配准方法[J].光电工程,31(11):39-41.
陶法,马舒庆,秦勇,等,2013.基于双目成像云底高度测量方法[J].应用气象学报,24(3):323-331.
王鲲鹏,徐一丹,于起峰,2009.红外与可见光图像配准方法分类及现状[J].红外技术,31(5):270-274.
徐兴奎,2012.中国区域总云量和低云量分布变化[J].气象,38(1):90-95.
闫钧华,朱智超,孙思佳,等,2013.基于多尺度红外与可见光图像配准研究[J].激光与红外,43(3):329-333.
杨俊,吕伟涛,马颖,等,2009.基于自适应阈值的地基云自动检测方法[J].应用气象学报,20(6):713-721.
杨燕,王雪瑞,戴青,等,2007.球面全景图像生成技术的研究[J].计算机应用与件,24(10):164-165,187.
苑津莎,赵振兵,高强,等,2009.红外与可见光图像配准研究现状与展望[J].激光与红外,39(7):693-699.
曾文锋,李树山,王江安,2001.基于仿射变换模型的图像配准中的平移、旋转和缩放[J].红外与激光工程,30(1):18-20,17.
章文星,吕达仁,常有礼,2007.地基热红外亮温遥感云底高度可行性的模拟研究[J].地球物理学报,50(2):354-363.
章文星,吕达仁,宣越健,等,2010.利用扫描式红外亮温仪对天空云量的试验观测[J].气象学报,68(6):808-821.
赵静,曹晓钟,代桃高,等,2017.毫米波云雷达与探空测云数据对比分析[J].气象,43(1):101-107.
周毓荃,欧建军,2010.利用探空数据分析云垂直结构的方法及其应用研究[J].气象,36(11):50-58.
Buch K A Jr,Sun C H,1995.Cloud classification using whole-sky imager data[C]∥Proceedings of the Ninth Symposium on Meteorological Observations and Instrumentation.Charlotte,NC,USA:USDOE:353-358.
Lewis J J,O'CallaghanR J,Nikolov S G,et al,2004.Region-based image fusion using complex wavelets[C]∥Proceedings of the Seventh International Conference on Information Fusion.Stockholm,Sweden:International Society of Information Fusion:487-496.
Su M S,Hwang W L,Cheng K Y,2004.Analysis on multiresolution mosaic images[J].IEEE Trans Image Process,13(7):952-959.
Zomet A,Levin A,Peleg S,et al,2006.Seamless image stitching by minimizing false edges[J].IEEE Trans Image Process,15(4):969-977.