多源遥感影像融合在太湖蓝藻监测中的应用

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。

Integrated Application of Multi-sources Remotely Sensed Imagery in Cyanobacteria Bloom Monitoring

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.