Spatiotemporal Fusion of Satellite Images via Very Deep Convolutional Networks

Spatiotemporal fusion provides an effective way to fuse two types of remote sensing data featured by complementary spatial and temporal properties (typical representatives are Landsat and MODIS images) to generate fused data with both high spatial and temporal resolutions. This paper presents a very...

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Bibliographic Details
Main Authors: Yuhui Zheng, Huihui Song, Le Sun, Zebin Wu, Byeungwoo Jeon
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/11/22/2701