融合HJ-1 CCD和MODIS数据生成高分辨率影像方法对比  

Comparison of Fusion Methods for Generating High Resolution Images Using HJ-1 CCD and MODIS Data

作　　者：陈燕丽 何立[2] 莫建飞[2] 莫伟华[2] CHEN Yan-li;HE Li;MO Jian-fei;MO Wei-hua(Institute of Arid Meteorology,CMA,Lanzhou 730020,China;Guangxi Meteorological Disaster Mitigation Institute, Remote Sensing Application and Validation Base of NSMC 2,Nanning 530022,China)

机构地区：[1]中国气象局兰州干旱气象研究所,兰州730020 [2]广西气象减灾研究所,国家卫星气象中心遥感应用试验基地,南宁530022

出　　处：《科学技术与工程》2018年第32期1-6,共6页Science Technology and Engineering

基　　金：干旱气象科学研究基金(IAM201707)资助.

摘　　要：高时空分辨率遥感影像的反演可有效解决南方云雨地区的数据缺失问题。以广西典型丘陵山地为试验区,利用时空自适应反射率融合模型(spatial and temporal adaptive reflectance fusion model,STRAFM)和增强型时空自适应反射率融合模型(enhanced spatial and temporal adaptive reflectance fusion model,ESTRAFM)两种融合算法,选取小范围的国产环境减灾卫星(HJ-1 CCD)和中分辨率成像光谱仪(moderate-resolution imaging spectroradiometer,MODIS)数据,比较分析两种融合算法所生成的高空间分辨率影像的优劣。与真实HJ-1 CCD的红、近红外(near-infrared,NIR)波段影像相比,STRAFM和ESTRAFM预测影像在空间分布上均具有较好的一致性,R值均为极显著相关,差分图像98. 94%以上像元反射率差值小于0. 1,平均绝对差值(average absolute difference,AAD)、平均差值(average difference,AD)、标准差(standard deviation,SD)均较小,融合效果好。与STRAFM相比较,ESTRAFM对真实HJ-1 CCD影像的细节捕捉能力更强,高低反射率区域没有明显缩小或放大现象,破碎地物边界更清晰,不存在斑块。ESTRAFM预测影像与真实HJ-1 CCD红、近红外波段影像的相关性均高于STRAFM,相关系数(pearson correlation coefficient,R)分别为0. 930、0. 885。ESTRAFM预测影像与真实HJ-1 CCD影像差异小于STRAFM,其差分影像的AD、AAD、SD分别为-0. 005、0. 013、0. 017。Inversion of high temporal-spatial resolution remote sensing data can effectively solve the problem of missing data due to the cloudy weather in the southern China.Taking Guangxi typical hilly area as the research area,using Chinese HJ-1 CCD and moderate-resolution imaging spectroradiometer(MODIS)data,two fusion models include moderate-resolution imaging spectroradiometer(STRAFM)and enhanced spatial and temporal adaptive reflectance fusion model(ESTRAFM)for generating high spatial-temporal resolution data were compared.The results show that,compared to the actual HJ-1 CCD images,there was a good consistency in spatial distribution for prediction red and NIR band images by STRAFM and ESTRAFM.Correlation coefficients between real images and prediction images were high and significant.The reflectance values of the difference image were less than 0.1 for more than 99.94%pixels.The absolute difference(AD),average absolute difference(AAD)and standard deviation(SD)were all very small.In short,the fusion effect was good for both STRAFM and ESTRAFM.However,compared with STRAFM,ESTRAFM fusion algorithm can capture more details on real HJ-1 CCD image.There was no significant reduction or magnification for high or low reflectance regions in prediction images by ESTRAFM.Besides,boundary of broken object was more clearly.Moreover,no blocks existed on the ESTRAFM prediction images.For the ESTRAFM predicted red and NIR band images,R was 0.930 and 0.885 respectively,smaller than those of the STRAFM.The difference between the real images and ESTRAFM predicted images were also smaller than that of the STRAFM,with its AD,AAD and SD are-0.005,0.013 and 0.017 respectively.

关 键 词：时空融合 HJ-1 CCD 中分辨率成像光谱仪 时空自适应反射率融合模型 增强时空自适应反射率融合模型 

分 类 号：P49[天文地球—大气科学及气象学]