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Evaluating the Sensory Gap for Earth Observation Images Using Human Perception and an LDA-Based Computational Model

Bahmanyar, Reza and Murillo, Ambar (2015) Evaluating the Sensory Gap for Earth Observation Images Using Human Perception and an LDA-Based Computational Model. In: Image Processing (ICIP), 2015 IEEE International Conference on, pp. 566-570. IEEE Xplore. IEEE International Conference on Image Processing (ICIP), 27-30 Sept 2015, Quebec city, Canada. DOI: 10.1109/ICIP.2015.7350862

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Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7350862

Abstract

High resolution Earth Observation (EO) images contain detailed information, making it possible to recognize objects. However, issues such as the sensory gap (the difference between a real life scene and its sensory interpretation) cause difficulties for object recognition. In EO, this gap is rather wide due to sensor resolution, image perspective, scale and field of view (FOV). In this work, human perceptual and computational evaluations of the sensory gap are presented. For the human perceptual evaluation, user labels describing image patch content are gathered and analyzed. Results highlight issues caused by the sensory gap, e.g., FOV (image patch size) limits the contextual clues which can be used to disambiguate objects. The effect of FOV is then computationally analyzed as the difference between the scene context discovered by Latent Dirichlet Allocation from content within a certain FOV and the ground truth. Results indicate that increasing the FOV decreases the sensory gap.

Item URL in elib:https://elib.dlr.de/96440/
Document Type:Conference or Workshop Item (Speech)
Title:Evaluating the Sensory Gap for Earth Observation Images Using Human Perception and an LDA-Based Computational Model
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Bahmanyar, Rezagholamreza.bahmanyar (at) dlr.deUNSPECIFIED
Murillo, AmbarRemote Sensing Technology Institute (IMF)UNSPECIFIED
Date:2015
Journal or Publication Title:Image Processing (ICIP), 2015 IEEE International Conference on
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/ICIP.2015.7350862
Page Range:pp. 566-570
Publisher:IEEE Xplore
Status:Published
Keywords:Sensory Gap, Latent Dirichlet Allocation, Human Perception, Earth Observation
Event Title:IEEE International Conference on Image Processing (ICIP)
Event Location:Quebec city, Canada
Event Type:international Conference
Event Dates:27-30 Sept 2015
Organizer:IEEE Org.
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Vabene++ (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Bahmanyar, Gholamreza
Deposited On:28 May 2015 16:04
Last Modified:31 Jul 2019 19:53

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