The Flexible Spatiotemporal DAta Fusion (FSDAF) method proposed by Zhu et al. in 2016 solved the abovementioned problems to some extent. However, FSDAF has two shortcomings that can be further improved: (1) FSDAF is prone to losing spatial details and predicting a "blurrier" image due to ...
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More importantly, FSDAF 2.0 has a powerful ability to retrieve land cover changes and provides a feasible way to improve the performance of retrieving land cover changes. Consequently, FSDAF 2.0 has great potential for monitoring complex dynamic changes in the Earth's surface....
In this study, a novel method by combining deep learning downscaling and the FSDAF is proposed. This method (RCAN-FSDAF) firstly downscales low spatial resolution images by using residual channel attention network (RCAN), and then fuses the high spatial resolution images and the downscaled low ...
基于FSDAF方法融合生成高时空分辨率地表温度卜坤王治良王卷乐张树文杨久春于灵雪国土资源遥感