Sequence Image Interpolation via Separable Convolution Network

Sequence Image Interpolation via Separable Convolution Network

Remote-sensing time-series data are significant for global environmental change research and a better understanding of the Earth. However, remote-sensing acquisitions often provide sparse time series due to sensor resolution limitations and environmental factors, such as cloud noise for optical data...

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Bibliographic Details
Main Authors:	Xing Jin, Ping Tang, Thomas Houet, Thomas Corpetti, Emilien Gence Alvarez-Vanhard, Zheng Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2021-01-01
Series:	Remote Sensing
Subjects:	sequence image interpolation separable convolution network separable convolution kernel UAV dataset Landsat-8 dataset
Online Access:	https://www.mdpi.com/2072-4292/13/2/296

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