Optimizing Gaussian Process Regression for Image Time Series Gap-Filling and Crop Monitoring

Image processing entered the era of artificial intelligence, and machine learning algorithms emerged as attractive alternatives for time series data processing. Satellite image time series processing enables crop phenology monitoring, such as the calculation of start and end of season. Among the pro...

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发表在:	Agronomy
Main Authors:	Santiago Belda, Luca Pipia, Pablo Morcillo-Pallarés, Jochem Verrelst
格式:	文件
语言:	英语
出版:	MDPI AG 2020-04-01
主题:	Gaussian processes regression time series crop monitoring Sentinel-2 phenology indicators optimization
在线阅读:	https://www.mdpi.com/2073-4395/10/5/618