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遥感技术与应用  2013, Vol. 28 Issue (4): 569-575    DOI: 10.11873/j.issn.1004-0323.2013.4.569
遥感应用     
多源遥感影像融合在太湖蓝藻监测中的应用
李亚春1,王净2,谢志清3,谢小萍1
(1.江苏省气象服务中心,江苏 南京 210008;2.徐州师范大学城市环境学院,江苏 徐州 221116;
3.江苏省气象科学研究所,江苏 南京 210008)
Integrated Application of Multi-sources Remotely Sensed Imagery in  Cyanobacteria  Bloom Monitoring
Li Yachun1,Wang Jing2,Xie Zhiqing3,Xie Xiaoping1
(1.Meteorological Service Centre of Jiangsu Province,Nanjing 210008,China;
2.College of Urban and Environmental Science,Xuzhou Normal University,Xuzhou 221116,China;
3.Meteorological Institute of Jiangsu Province,Nanjing 210008,China)
 全文: PDF(3351 KB)  
摘要:

基于空间分辨率分别为1 100 m和500 m的NOAA/AVHRR和EOS/MODIS遥感数据,考虑遥感影像区域内各像素之间的区域特征,设计了基于小波分析的区域能量融合方法(REFS_wt),低频小波系数采用平均值而高频系数采用区域能量法,并与基于像素灰度值的区域能量法(REFS_pl)进行融合性能比较,结果表明REFS_wt法的融合性能明显优于REFS_pl。将此方法应用于太湖蓝藻监测,将空间分辨率较低的AVHRR影像蓝藻水华信息与较高分辨率的MODIS影像融合,得到较高分辨率的太湖蓝藻水华遥感监测图,融合图像信息量和清晰度都有所提高。

关键词: 多源遥感影像融合区域特征蓝藻太湖    
Abstract:

It is significant to monitor cyanobacteria  bloom accurately and rapidly with remote sensing methods by multi-sources satellite data, In this paper,it took NOAA/AVHRR data which has lower spectral resolution of 1 100 m and Terra(Aqua)/MODIS data which has higher spectral resolution of 500 m as the main data sources.A region-based wavelet transform fusion method (REFS_wt) was presented which took the average as the low frequency coefficient and the high frequency coefficient was calculated by regional energy method.Then a comparison was made between the presented method and another image fusion scheme based on regional pixel energy(REFS_pl).The experimental results showed that the REFS_wt method was better than the region-based pixel energy fusion method in improving spectrum quality of remote sensing images.This studied method has been effectively applied to cyanobacteria bloom monitoring and early-warning for Lake Taihu.And the fused images could preserve all useful information from primitive images and that the clarity and information quantity were improved.

Key words: Multi-sources imagery    Fusion    Regional feature    Cyanobacteria bloom    Taihu Lake
收稿日期: 2012-09-30 出版日期: 2013-08-14
:  X 87  
基金资助:

江苏省科技支撑项目(BE2011840)和中国气象局新技术推广项目(CMAT2007M30)联合资助。

作者简介: 李亚春(1966-),男,江苏武进人,正研级高级工程师,主要从事环境遥感应用与应用气象研究。E-mail:jsqxlyc@163.com。
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引用本文:

李亚春,王净,谢志清,谢小萍. 多源遥感影像融合在太湖蓝藻监测中的应用[J]. 遥感技术与应用, 2013, 28(4): 569-575.

Li Yachun,Wang Jing,Xie Zhiqing,Xie Xiaoping. Integrated Application of Multi-sources Remotely Sensed Imagery in  Cyanobacteria  Bloom Monitoring. Remote Sensing Technology and Application, 2013, 28(4): 569-575.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2013.4.569        http://www.rsta.ac.cn/CN/Y2013/V28/I4/569

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