ZY-1 02C星图像与ETM^+图像融合方法及效果评价

Data fusion methods of ZY-1 02C and ETM^+ images and effect evaluation

资源一号(ZY-1)02C卫星的发射成功填补了我国自主研发高分辨率遥感卫星的空白。根据该卫星的图像特点和数据质量,以俄罗斯西伯利亚地区的ZY-1 02C卫星P/MS传感器数据为例,通过解译该地区的地质矿产信息,对P/MS图像数据的处理和质量情况进行分析;同时结合该地区的美国Landsat卫星ETM+数据,将P/MS全色波段数据与ETM+多光谱数据融合,并采用HSV,Brovery,Gram-Schmidt和PCA等4种融合方法进行实验对比。实验结果表明,用Gram-Schmidt法融合后的图像,光谱信息丢失最少,融合效果最好,可有效提高融合图像的空间分辨率,进而提高该地区的遥感地质解译精度。该研究成果将为进一步推进我国国产高分辨率遥感卫星的应用发挥积极作用。

The successful launch of ZY-1 02 C satellite has filled the gap in the high resolution remote sensing satellite developed by China itself. Based on the characteristics of the satellite image and data quality,the authors took ZY-1 02 C P/MS sensor data of Russia＆#39;s Siberia as an example to interpret the region＆#39;s geological and mineral resources information for the purpose of analyzing the data processing and data quality of P/MS image in combination with the United States Landsat ETM＋ data of the region for data fusion. Four kinds of fusion methods, i. e. , HSV,Brovery,Gramm-Schmidt and PCA fusion, were used for experimental comparison. The experimental results show that the image fused with Gramm - Schmidt method not only suffers from the least loss of spectral information but also has the best fusion effect,thus improving the spatial resolution of the fused image effectively. In other words, the precision of remote sensing geological interpretation is greatly improved by Gramm - Schmidt method. The results obtained by the authors can play an active role in further promoting the application of the domestic high resolution remote sensing satellites in China.