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Uncertainties of Human Perception in Visual Image Interpretation in Complex Urban Environments

Kraff, Nicolas and Wurm, Michael and Taubenböck, Hannes (2020) Uncertainties of Human Perception in Visual Image Interpretation in Complex Urban Environments. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, pp. 4229-4241. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/JSTARS.2020.3011543. ISSN 1939-1404.

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Official URL: https://ieeexplore.ieee.org/document/9146616

Abstract

Today satellite images are mostly exploited automatically due to advances in image classification methods. Manual visual image interpretation (MVII), however, still plays a significant role e.g., to generate training data for machine-learning algorithms or for validation purposes. In certain urban environments, however, of e.g., highest densities and structural complexity, textural and spectral complications in overlapping roof-structures still demand the human interpreter if one aims to capture individual building structures. The cognitive perception and real-world experience are still inevitable. Against these backgrounds, this article aims at quantifying and interpreting the uncertainties of mapping rooftop footprints of such areas. We focus on the agreement among interpreters and which aspects of perception and elements of image interpretation affect mapping. Ten test persons digitized six complex built-up areas. Hereby, we receive quantitative information about spatial variables of buildings to systematically check the consistency and congruence of results. An additional questionnaire reveals qualitative information about obstacles. Generally, we find large differences among interpreters’ mapping results and a high consistency of results for the same interpreter. We measure rising deviations correlate with a rising morphologic complexity. High degrees of individuality are expressed e.g., in time consumption, insitu-or geographic information system (GIS)-precognition whereas data source mostly influences the mapping procedure. By this study, we aim to fill a gap as prior research using MVII often does not implement an uncertainty analysis or quantify mapping aberrations. We conclude that remote sensing studies should not only rely unquestioned on MVII for validation; furthermore, data and methods are needed to suspend uncertainty.

Item URL in elib:https://elib.dlr.de/135714/
Document Type:Article
Title:Uncertainties of Human Perception in Visual Image Interpretation in Complex Urban Environments
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Kraff, Nicolasnicolas.kraff (at) dlr.deUNSPECIFIED
Wurm, Michaelmichael.wurm (at) dlr.dehttps://orcid.org/0000-0001-5967-1894
Taubenböck, Hanneshannes.taubenboeck (at) dlr.dehttps://orcid.org/0000-0003-4360-9126
Date:August 2020
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
Volume:13
DOI :10.1109/JSTARS.2020.3011543
Page Range:pp. 4229-4241
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Status:Published
Keywords:Cognition, earth observation, elements of image interpretation, level of individual buildings (LoD-1), manual visual image interpretation (MVII), perception, uncertainty, urban morphology
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, R - Geoscientific remote sensing and GIS methods
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Taubenböck, Dr. Hannes
Deposited On:14 Sep 2020 09:42
Last Modified:01 Mar 2021 09:41

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