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Generalization in Object Recognition from SAR Imagery

Sica, Francescopaolo and Pulella, Andrea and Lopez, Carlos Villamil and Anglberger, Harald and Hänsch, Ronny (2022) Generalization in Object Recognition from SAR Imagery. In: 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, pp. 1007-1010. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022-07-17 - 2022-07-22, Kuala Lumpur, Malaysia. doi: 10.1109/IGARSS46834.2022.9884427. ISBN 978-166542792-0.

Full text not available from this repository.

Official URL: https://ieeexplore.ieee.org/abstract/document/9884427

Abstract

Object recognition in synthetic aperture radar images is a well studied topic that has gained a significant amount of attention within the last decades. Modern approaches are based on machine learning, i.e. deep learning, and often show excellent performance. What is so far missing in the literature is a study dedicated to the generalization capabilities of object recognition approaches, i.e. how well a given system can be transferred to new and previously unseen data. In this paper, the proposed recognition model is trained and tested on a unique dataset of 25 high-resolution TerraSAR-X images (X-band), acquired over four different airports in Staring Spotlight mode. We show how classification performance changes for different application scenarios which require different training and evaluation setups.

Item URL in elib:https://elib.dlr.de/191313/
Document Type:Conference or Workshop Item (Speech)
Title:Generalization in Object Recognition from SAR Imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Sica, FrancescopaoloUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pulella, AndreaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Lopez, Carlos VillamilUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Anglberger, HaraldUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hänsch, RonnyUNSPECIFIEDhttps://orcid.org/0000-0002-2936-6765UNSPECIFIED
Date:July 2022
Journal or Publication Title:2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.1109/IGARSS46834.2022.9884427
Page Range:pp. 1007-1010
ISBN:978-166542792-0
Status:Published
Keywords:Deep Learning, Object Detection
Event Title:IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Event Location:Kuala Lumpur, Malaysia
Event Type:international Conference
Event Start Date:17 July 2022
Event End Date:22 July 2022
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:Microwaves and Radar Institute > SAR Technology
Microwaves and Radar Institute > Reconnaissance and Security
Deposited By: Hänsch, Ronny
Deposited On:01 Dec 2022 13:18
Last Modified:24 Apr 2024 20:52

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