A Full Tensor Decomposition Network for Crop Classification with Polarization Extension

A Full Tensor Decomposition Network for Crop Classification with Polarization Extension

The multisource data fusion technique has been proven to perform better in crop classification. However, traditional fusion methods simply stack the original source data and their corresponding features, which can be only regarded as a superficial fusion method rather than deep fusion. This paper pr...

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Dettagli Bibliografici
Autori principali:	Wei-Tao Zhang, Sheng-Di Zheng, Yi-Bang Li, Jiao Guo, Hui Wang
Natura:	Articolo
Lingua:	English
Pubblicazione:	MDPI AG 2022-12-01
Serie:	Remote Sensing
Soggetti:	polarization extension curse of dimensionality full tensor decomposition network (FTDN)
Accesso online:	https://www.mdpi.com/2072-4292/15/1/56

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