3种时空融合算法在洪水监测中的适用性研究

石晨烈, 王旭红, 张萌, 刘状, 祝新明

Analysis of the applicability of three remote sensing spatiotemporal fusion algorithms in flood monitoring

Chenlie SHI, Xuhong WANG, Meng ZHANG, Zhuang LIU, Xinming ZHU

表2 New Orleans 研究区3种时空融合算法融合结果精度评估

Tab.2 Accuracy assessment of synthesized Landsat-like images by STARFM,STRUM and FSDAF in New Orleans

波段 STARFM STRUM FSDAF AD RMSE CC SSIM AD RMSE CC SSIM AD RMSE CC SSIM 蓝 0.021 0.037 0.611 0.601 0.018 0.027 0.813 0.800 0.017 0.026 0.820 0.798 绿 0.024 0.040 0.659 0.641 0.022 0.031 0.805 0.793 0.021 0.030 0.818 0.795 红 0.026 0.042 0.655 0.635 0.024 0.034 0.784 0.777 0.022 0.032 0.805 0.786 近红外 0.038 0.056 0.862 0.848 0.033 0.049 0.903 0.903 0.032 0.046 0.912 0.912 短波红外1 0.034 0.050 0.848 0.844 0.035 0.054 0.844 0.843 0.031 0.046 0.878 0.879 短波红外2 0.047 0.057 0.754 0.765 0.049 0.087 0.770 0.781 0.048 0.085 0.800 0.812 平均值 0.032 0.047 0.731 0.722 0.030 0.047 0.819 0.816 0.028 0.044 0.839 0.830