Gap-Filling and Missing Information Recovery for Time Series of MODIS Data Using Deep Learning-Based Methods

Gap-Filling and Missing Information Recovery for Time Series of MODIS Data Using Deep Learning-Based Methods

Sensors onboard satellite platforms with short revisiting periods acquire frequent earth observation data. One limitation to the utility of satellite-based data is missing information in the time series of images due to cloud contamination and sensor malfunction. Most studies on gap-filling and clou...

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Bibliographic Details
Main Authors: Yidan Wang, Xuewen Zhou, Zurui Ao, Kun Xiao, Chenxi Yan, Qinchuan Xin
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
gap-filling
data reconstruction
content generation
sequence-texture generation
deep learning
Online Access:https://www.mdpi.com/2072-4292/14/19/4692

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https://www.mdpi.com/2072-4292/14/19/4692

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