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Bag-of-Words for Transfer Learning

Iulian, Calota and Faur, Daniela and Datcu, Mihai (2021) Bag-of-Words for Transfer Learning. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 808-811. IGARSS 2021, 11-16 July 2021, Brussels, Belgium. doi: 10.1109/IGARSS47720.2021.9554776. ISBN 978-1-6654-0369-6. ISSN 2153-7003.

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Official URL: https://ieeexplore.ieee.org/document/9554776


Although the number of labeled datasets in Earth Observation (EO) is increasing, there is still a major gap between the Deep Learning (DL) classifiers designed in this field versus the models in Computer Vision. This gap is produced mainly by the number of datasets available, but also by the diversity of data. In EO, there are different sensors acquiring images, from multispectral (MS) or hyperspectral data, to SAR imagery. In this paper, we want to demonstrate how to reduce the divergence created by the diversity of data. We trained several DL architectures on Bag-of-Words from large-scale MS and SAR datasets, and then we used transfer learning on smaller ones and evaluated the results. With this method, we demonstrate that a DL architecture can be trained with any type of large-scale data, transformed into Bag-of-Words, and the trained model can be used further on other types of data, without regard on the number of channels.

Item URL in elib:https://elib.dlr.de/144961/
Document Type:Conference or Workshop Item (Speech)
Title:Bag-of-Words for Transfer Learning
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Iulian, CalotaPolitehnica University of Bucharest, RomaniaUNSPECIFIED
Faur, Danielauniversity politehnica of bucharest, bucharest, romaniaUNSPECIFIED
Datcu, MihaiMihai.Datcu (at) dlr.deUNSPECIFIED
Date:July 2021
Journal or Publication Title:International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.1109/IGARSS47720.2021.9554776
Page Range:pp. 808-811
Keywords:Bag-of-Words, Transfer Learning, multispectral data, SAR data, Deep Learning
Event Title:IGARSS 2021
Event Location:Brussels, Belgium
Event Type:international Conference
Event Dates:11-16 July 2021
Organizer:Institute of Electrical and Electronics Engineers
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Artificial Intelligence
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Otgonbaatar, Soronzonbold
Deposited On:18 Nov 2021 12:20
Last Modified:01 Jul 2022 03:00

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