3DeepM: An Ad Hoc Architecture Based on Deep Learning Methods for Multispectral Image Classification

3DeepM: An Ad Hoc Architecture Based on Deep Learning Methods for Multispectral Image Classification

Current predefined architectures for deep learning are computationally very heavy and use tens of millions of parameters. Thus, computational costs may be prohibitive for many experimental or technological setups. We developed an ad hoc architecture for the classification of multispectral images usi...

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Bibliographic Details
Main Authors: Pedro J. Navarro, Leanne Miller, Alberto Gila-Navarro, María Victoria Díaz-Galián, Marcos Egea-Cortines, Diego J. Aguila
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Remote Sensing
Subjects:
deep learning architectures
multispectral grape classification
multispectral computer vision system
Online Access:https://www.mdpi.com/2072-4292/13/4/729

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https://www.mdpi.com/2072-4292/13/4/729

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