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On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AID

Yang, Long and Gui-Song, Xia and Shengyang, Li and Yang, Wenzhi and Yang, Michael and Zhu, Xiaoxiang and Liangpei, Zhang and Deren, Li (2021) On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AID. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. IEEE - Institute of Electrical and Electronics Engineers. ISSN 1939-1404. (In Press)

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Abstract

The past years have witnessed great progress on remote sensing (RS) image interpretation and its wide applications. With RS images becoming more accessible than ever before, there is an increasing demand for the automatic interpretation of these images, where benchmark datasets are essential prerequisites for developing and testing intelligent interpretation algorithms. After reviewing existing benchmark datasets in the research community of RS image interpretation, this article discusses the problem of how to efficiently prepare a suitable benchmark dataset for RS image analysis. Specifically, we first analyze the current challenges of developing intelligent algorithms for RS image interpretation with bibliometric investigations. We then present the guidances on creating benchmark datasets in efficient manners. Following the presented guidances, we also provide an example on building datasets for RS image classification, i.e., Million-AID, a new large-scale benchmark dataset containing a million instances for RS scene classification. Several challenges and perspectives in RS image annotation are finally discussed to facilitate the research in benchmark dataset construction. We do hope this paper will provide the RS community an overall perspective on constructing large-scale and practical image datasets for further research, especially data-driven ones.

Item URL in elib:https://elib.dlr.de/141687/
Document Type:Article
Title:On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AID
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Yang, LongUNSPECIFIEDUNSPECIFIED
Gui-Song, XiaUNSPECIFIEDUNSPECIFIED
Shengyang, LiUNSPECIFIEDUNSPECIFIED
Yang, WenzhiUNSPECIFIEDUNSPECIFIED
Yang, MichaelUNSPECIFIEDUNSPECIFIED
Zhu, XiaoxiangGerman Aerospace Center & Technical University of MunichUNSPECIFIED
Liangpei, ZhangUNSPECIFIEDUNSPECIFIED
Deren, LiUNSPECIFIEDUNSPECIFIED
Date:2021
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Status:In Press
Keywords:aerial image interpretation, satellite image interpretation, guidances, remote sensing annotation
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 - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Bratasanu, Ion-Dragos
Deposited On:07 Apr 2021 17:53
Last Modified:07 Apr 2021 17:53

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