DMNet: A Network Architecture Using Dilated Convolution and Multiscale Mechanisms for Spatiotemporal Fusion of Remote Sensing Images

Since remote sensing images cannot have both high temporal resolution and high spatial resolution, spatiotemporal fusion of remote sensing images has attracted increasing attention in recent years. Additionally, with the successful application of deep learning in various fields, spatiotemporal fusio...

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Veröffentlicht in:	IEEE sensors journal 2020-10, Vol.20 (20), p.12190-12202
Hauptverfasser:	Li, Weisheng, Zhang, Xiayan, Peng, Yidong, Dong, Meilin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Artificial satellites Computer architecture Convolution convolutional neural network Deep learning dilated convolution Earth Feature extraction Feature maps Machine learning multiscale mechanism Prediction algorithms Remote sensing skip connection Spatial resolution Spatiotemporal fusion Spatiotemporal phenomena Temporal resolution
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