[1]李士进,刘帅,杨晨,等.基于云覆盖分类的太湖蓝藻MODIS图像分析[J].南京师范大学学报(工程技术版),2012,12(03):031-37.
 Li Shijin,Liu Shuai,Yang Chen,et al.Cyanobacteria Information Extraction in Taihu Lake Based on Cloud Analysis With MODIS Imageries[J].Journal of Nanjing Normal University(Engineering and Technology),2012,12(03):031-37.
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基于云覆盖分类的太湖蓝藻MODIS图像分析
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南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
12卷
期数:
2012年03期
页码:
031-37
栏目:
出版日期:
2012-09-20

文章信息/Info

Title:
Cyanobacteria Information Extraction in Taihu Lake Based on Cloud Analysis With MODIS Imageries
作者:
李士进1刘帅1杨晨1高祥涛2
( 1. 河海大学计算机与信息学院,江苏南京210098) ( 2. 江苏省水文水资源勘测局,江苏南京210029)
Author(s):
Li Shijin1Liu Shuai1Yang Chen1Gao Xiangtao2
1.College of Computer and Information,Hohai University,Nanjing 210098,China
关键词:
MODIS蓝藻提取太湖云覆盖分类HSI 彩色模型
Keywords:
MODIScyanobacteria extractionTaihu Lakecloud cover classificationHSI color model
分类号:
TP391.41
摘要:
太湖蓝藻已经成为一个社会和政府共同关注的环境问题,如何及时、准确地获取蓝藻发生、发展状况信息,是目前水环境监测的难点.本文以MODIS遥感图像为监测信息源,提出一种新的彩色图像分析方法快速提取太湖蓝藻信息.首先使用模板匹配算法快速提取MODIS遥感图像的太湖水域信息,并针对遥感图像获取过程中的云层覆盖干扰,提出将图像分为无云覆盖和有薄云覆盖两类分别处理的方法,提高了不同天气情况下蓝藻信息提取的有效性.最后通过对一年内多幅太湖MODIS遥感图像的蓝藻信息提取,定性分析了太湖蓝藻的时空分布特点,为研究太湖蓝藻发生、发展规律提供技术支撑.
Abstract:
Cyanobacteria bloom-forming in Taihu Lake has already become an environmental problem which is concerned with the whole society and the government. It is difficult for the department of water-environment monitoring to monitor the bloom on the lake timely and accurately. By using template matching process,the territorial waters information of Taihu Lake is extracted firstly. To tackle the problem of Cyanobacteria under clouds cover,the problem is divided into two,one is under the clouds cover,the other is under no clouds. Experimental results on hundreds of MODIS images show that the proposed method is effective with satisfactory accuracy. Furthermore,spatio-temporal analysis of Cyanobacteria during the year 2006 reveals the underlying knowledge of its year pattern,which can provide decision support information for the administrative departments.

参考文献/References:

[1]黄贤金,王腊春,高超,等. 太湖水资源水环境研究[M]. 北京: 科学出版社,2008. Huang Xianjin,Wang Lachun,Gao Chao, et al. Study on Water Resources and Water Environmental Issues of Taihu Lake[M]. Beijing: Science Press,2008. ( in Chinese)
[2]孙刚,盛连喜. 湖泊富营养化治理的生态工程[J]. 应用生态学报,2001,12( 4) : 590-592. Sun Gang,Sheng Lianxi. Ecological engineering for eutrophication control in lake[J]. Chinese Journal of Applied Ecology, 2001,12( 4) : 590-592. ( in Chinese)
[3]李纪人,黄诗峰. “3S”技术水利应用指南[M]. 北京: 中国水利水电出版社,2002 Li Jiren,Huang Shifeng. 3S Technology and Their Applications in Water Resources[M]. Beijing: China WaterPower Press, 2002. ( in Chinese)
[4]谢国清,李蒙,鲁韦坤,等. 滇池蓝藻水华光谱特征、遥感识别及暴发气象条件[J]. 湖泊科学,2010,22( 3) : 327. Xie Guoqing,Li Meng,Lu Weikun,et al. Spectral features,remote sensing identification and breaking-out meteorological conditions of algal bloom in Lake Dianchi[J]. Journal of Lake Sciences,2010,22( 3) : 327. ( in Chinese)
[5]Reinart A,Tiit Kutser. Comparison of different satellite sensors in detecting cyanobacterial bloom events in the Baltic Sea[J]. Remote Sensing of Environment,2006,102( 1-2) : 74-85.
[6]Becker Richard H,Sultan Mohamed I,Boyer Gregory L, et al. Mapping cyanobacterial blooms in the Great Lakes using MODIS [J]. Journal of Great Lakes Research,2009,35( 3) : 447-453.
[7]张鹏强,余旭初,韩丽. 遥感图像薄云滤波增强[J]. 海洋测绘,2008,28( 2) : 13-16. Zhang Pengqiang,Yu Xuchu,Han Li. Enhancement of remote sensing images with thin clouds[J]. Hydrographic Surveying and Charting,2008,28( 2) : 13-16. ( in Chinese)
[8]朱锡芳,吴峰,庄燕滨. 基于Mallat 算法遥感图像去云雾处理的改进方法[J]. 遥感学报,2007, 11( 2) : 241-246. Zhu Xifang,Wu feng,Zhuang Yanbin. An improved approach to remove cloud and mist from remote sensing digital images based on Mallat algorithm[J]. Journal of Remote Sensing,2007, 11( 2) : 241-246. ( in Chinese)
[9]李新宇,刘扬阳,蒋雪娜,等. 基于高维空间几何信息学的遥感图像去薄云算法[J]. 电子学报,2011,39( 05) : 1 002- 1 006. Li Xinyu,Liu Yangyang, Jiang Xuena,et al. An novel algorithm to remove the thin cloud from remote sensing images based on high-dimensional space geometrical informatics[J]. ACTA Electronica Sinica,2011,38( 5) : 1 002-1 006. ( in Chinese)
[10]谢华美,何启翱,郑宁,等. 基于ERDAS 二次开发的遥感图像同态滤波薄云去除算法的改进[J]. 北京师范大学学报: 自然科学版,2005,41( 2) : 150-153. Xie Huamei,He Qiao,Zheng Ning, et al. The improved homomorphic filter algorithm for removing cloud of remote sensing image based on the second exploiture of ERDAS tool[J]. Journal of Beijing Normal University: Natural Science Edition,2005, 41( 2) : 150-153. ( in Chinese)
[11]杨旭强,冯勇,刘洪臣. 一种基于HSI 颜色模型的目标提取方法[J]. 光学技术,2006,32( 2) : 290-292. Yang Xuqiang,Feng Yong,Liu Hongchen. An object extraction method based on HSI color model[J]. Optical Technique, 2006,32( 2) : 290-292. ( in Chinese)
[12]黄勇杰,王树国,刘俊义,等. 遥感图像去云算法研究[J]. 仪器仪表学报,2003,24( 4) : 491-492. Huang Yongjie,Wang Shuguo,Liu Junyi, et al. Research on removing cloud to the remote sensing images[J]. Chinese Journal of Scientific Instrument,2003,24( 4) : 491-492. ( in Chinese)
[13]郁文霞,曹晓光,徐琳,等. 遥感图像云自动检测[J]. 仪器仪表学报,2006,27( 6) : 2 184-2 186. Yu Wenxia,Cao Xiaoguang,Xu Lin, et al. Automatic cloud detection for remote sensing image[J]. Chinese Journal of Scientific Instrument,2006,27( 6) : 2 184-2 186. ( in Chinese)
[14]周新丰. 基于图像处理的空中目标识别技术研究[D]. 南京: 南京航空航天大学计算机科学与技术学院,2003. Zhou Xinfeng. The research of air target recognition based on image processing[D]. Nanjing: College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,2003. ( in Chinese)
[15]祝令亚. 湖泊水质遥感监测与评价方法研究[D]. 北京: 中国科学院遥感应用研究所,2006. Zhu Lingya. Remote sensing monitoring and evaluation method of the lake water quality[D]. Beijing: Institute of Remote Sensing Applications of Chinese Academy of Sciences,2006. ( in Chinese)
[16]马荣华,孔繁翔,段洪涛,等. 基于卫星遥感的太湖蓝藻水华时空分布规律认识[J]. 湖泊科学,2008,20( 6) : 687- 694. Ma Ronghua,Kong Fanxiang,Duan Hongtao, et al. Spatio-temporal distribution of cyanobacteria blooms based on satellite imageries in Lake Taihu,China[J]. Journal of Lake Sciences,2008,20( 6) : 687-694. ( in Chinese)

备注/Memo

备注/Memo:
基金项目: 国家自然科学基金( 61170200) .通讯联系人: 李士进,博士,教授,研究方向: 图像分析,模式识别. E-mail: lishijin@ hhu. edu. cn
更新日期/Last Update: 2013-03-11