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Attention Guiding Visualisation in Remote Sensing IIM Systems

Swienty, Olivier and Kurz, Franz and Reichenbacher, Tumasch (2007) Attention Guiding Visualisation in Remote Sensing IIM Systems. Photogrammetrie Fernerkundung Geoinformation, 4, pp. 239-252. E. Schweizerbartsche Verlagsbuchhandlung. ISSN 1432-8364.

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Although there has been successful work in developing image mining algorithms to extract in-formation, the visualisation of query results in Image Information Mining (IIM) systems is still not well adapted to the human cognitive skill of visual information processing. The main value of processing remotely sensed images is reflected in basic factors of visual atten-tion, i.e. the ability to promptly locate (where) and easily decode (what) geographic information for making inferences. The semantic component is reflected in the work of engineers in the field of Content-based Image Retrieval (CBIR). In addition, human visual attention is guided auto-matically by sensory stimulation affording users to know where relevant information is located. This work concentrates on the cognitively adequate visualisation of the location of relevant in-formation to support users to navigate rapidly towards information of interest. Supporting users in directing their attention towards the location of relevant information reduces the cognitive workload retained for processing context information and decision making. Therefore, we con-sider neurocognitive foundations of visual information processing and theories of relevance to frame appropriate design principles. Based on these principles, we establish a design methodol-ogy for attention guiding visualisation (AGV) and illustrate adapted visualisations. By applying a computed visual attention model, we evaluate proposed visualisations and relate results to up-coming research challenges for the effective visualisation in remote sensing IIM systems.

Item URL in elib:https://elib.dlr.de/48280/
Document Type:Article
Title:Attention Guiding Visualisation in Remote Sensing IIM Systems
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Swienty, OlivierTechnische Universität MünchenUNSPECIFIEDUNSPECIFIED
Reichenbacher, TumaschTechnische Universität MünchenUNSPECIFIEDUNSPECIFIED
Journal or Publication Title:Photogrammetrie Fernerkundung Geoinformation
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 239-252
EditorsEmailEditor's ORCID iDORCID Put Code
Publisher:E. Schweizerbartsche Verlagsbuchhandlung
Keywords:image information mining, visual cognition, attention, relevance
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 - ARGOS (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Kurz, Dr.-Ing. Franz
Deposited On:27 Oct 2008
Last Modified:19 Nov 2021 20:43

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