Spectral Imagery Tensor Decomposition for Semantic Segmentation of Remote Sensing Data through Fully Convolutional Networks

This work aims at addressing two issues simultaneously: data compression at input space and semantic segmentation. Semantic segmentation of remotely sensed multi- or hyperspectral images through deep learning (DL) artificial neural networks (ANN) delivers as output the corresponding matrix of pixels...

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Bibliografske podrobnosti

Principais autores:	Josué López, Deni Torres, Stewart Santos, Clement Atzberger
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2020-02-01
Serija:	Remote Sensing
Teme:	fully convolutional network semantic segmentation spectral image tensor decomposition
Online dostop:	https://www.mdpi.com/2072-4292/12/3/517
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