| 多源遥感影像融合在太湖蓝藻监测中的应用 |
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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. DOI: 10.11873/j.issn.1004-0323.2013.4.569 |
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| 作者姓名： | 李亚春 王净 谢志清 谢小萍 |
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| 作者单位： | (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) |
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| 基金项目： | 江苏省科技支撑项目，中国气象局新技术推广项目 |
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| 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。
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| 关 键 词： | 多源遥感影像 融合 区域特征 蓝藻 太湖 |
| 收稿时间： | 2012-09-30 |
Integrated Application of Multi-sources Remotely Sensed Imagery in Cyanobacteria Bloom Monitoring |
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| Li Yachun,Wang Jing,Xie Zhiqing,Xie Xiaoping. Integrated Application of Multi-sources Remotely Sensed Imagery in Cyanobacteria Bloom Monitoring[J]. Remote Sensing Technology and Application, 2013, 28(4): 569-575. DOI: 10.11873/j.issn.1004-0323.2013.4.569 |
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| Authors: | Li Yachun Wang Jing Xie Zhiqing Xie Xiaoping |
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| Affiliation: | (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) |
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| Abstract: | It is significant to monitorcyanobacteria 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. |
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| Keywords: | Multi-sources imagery Fusion Regional feature Cyanobacteria bloom Taihu Lake |
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