SAR与SPOT数据融合方法研究

随着多空间分辨率、多光谱分辨率、多传感器遥感数据日益增多,数据融合技术已经在地学领域得到广泛应用。以SAR和SPOT多光谱影像为数据源,通过几何校正、辐射定标、噪声去除等预处理,采用PCA、IHS、BT、HPF以及WT融合方法进行融合试验,选取标准差、信息熵以及相关系数对融合结果进行图像质量评价。结果表明：基于结构信息变换的HPF和WT方法,纹理结构信息保持较好,线性地物特征尤为突出；基于统计信息变换的PCA方法,不仅能较好保持多光谱信息,而且也保持了SAR影像纹理结构信息,信息熵指数最大；基于彩色变换的IHS和BT方法,虽然视觉效果较理想,但是色彩及光谱失真现象严重,信息熵值最小。
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Research of Fusion Algorithm based on SAR and SPOT

The high resolution sea surface wind speeds retrieval from SAR image is of great significance in the field of microwave remote sensing.A preliminary study about the high resolution sea surface wind speeds retrieval from SAR image combing with the NCEP/QSCAT blended sea surface wind directions was introduced.As a case study,this method was applied on one scene ENVISat ASAR imaging on Dec.6,2005.The retrieved wind speeds are compared with those from both the NCEP/QSCAT blended sea surface wind speeds and daily averaged Quick Scatter meter sea surface wind speeds.The results gave that they are in good agreement.The root\|mean\|square errors of wind speed are 1.9 m/s and 1.6 m/s respectively,which show that SAR has the ability of retrieving the high resolution sea surface wind speeds,and give the orientation of SAR sea surface wind field business application in future.