Land Cover Classification from fused DSM and UAV Images Using Convolutional Neural Networks

Land Cover Classification from fused DSM and UAV Images Using Convolutional Neural Networks

In recent years, remote sensing researchers have investigated the use of different modalities (or combinations of modalities) for classification tasks. Such modalities can be extracted via a diverse range of sensors and images. Currently, there are no (or only a few) studies that have been done to i...

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Bibliographic Details
Main Authors: Husam A. H. Al-Najjar, Bahareh Kalantar, Biswajeet Pradhan, Vahideh Saeidi, Alfian Abdul Halin, Naonori Ueda, Shattri Mansor
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Remote Sensing
Subjects:
land cover classification
remote sensing
GIS
UAV
Deep-Learning
fusion
Online Access:https://www.mdpi.com/2072-4292/11/12/1461

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https://www.mdpi.com/2072-4292/11/12/1461

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