A New Multispectral Data Augmentation Technique Based on Data Imputation

A New Multispectral Data Augmentation Technique Based on Data Imputation

Deep Learning (DL) has been recently introduced into the hyperspectral and multispectral image classification landscape. Despite the success of DL in the remote sensing field, DL models are computationally intensive due to the large number of parameters they need to learn. The high density of inform...

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Bibliographic Details
Main Authors: Álvaro Acción, Francisco Argüello, Dora B. Heras
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Remote Sensing
Subjects:
multispectral
classification
deep learning
CNN
segmentation
data augmentation
Online Access:https://www.mdpi.com/2072-4292/13/23/4875

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