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《Remote Sensing Technology and Application》 2013-04
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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,Nanjing210008,China;2.College of Urban and Environmental Science,Xuzhou Normal University,Xuzhou221116,China;3.Meteorological Institute of Jiangsu Province,Nanjing210008,China)  
It is significant to monitor cyanobacteriabloom 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 100mand Terra(Aqua)/MODIS data which has higher spectral resolution of 500mas 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.
【Fund】: 江苏省科技支撑项目(BE2011840);; 中国气象局新技术推广项目(CMAT2007M30)联合资助
【CateGory Index】: X832;X87
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