Deep&Dense Convolutional Neural Network for Hyperspectral Image Classification
Deep neural networks (DNNs) have emerged as a relevant tool for the classification of remotely sensed hyperspectral images (HSIs), with convolutional neural networks (CNNs) being the current state-of-the-art in many classification tasks. However, deep CNNs present several limitations in the context...
Main Authors: | Mercedes E. Paoletti, Juan M. Haut, Javier Plaza, Antonio Plaza |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-09-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | http://www.mdpi.com/2072-4292/10/9/1454 |
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