Bahmanyar, Reza und 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, Seiten 566-570. IEEE Xplore. IEEE International Conference on Image Processing (ICIP), 2015-09-27 - 2015-09-30, Quebec city, Canada. doi: 10.1109/ICIP.2015.7350862.
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Offizielle URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7350862
Kurzfassung
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.
elib-URL des Eintrags: | https://elib.dlr.de/96440/ | ||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||
Titel: | Evaluating the Sensory Gap for Earth Observation Images Using Human Perception and an LDA-Based Computational Model | ||||||||||||
Autoren: |
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Datum: | 2015 | ||||||||||||
Erschienen in: | Image Processing (ICIP), 2015 IEEE International Conference on | ||||||||||||
Referierte Publikation: | Ja | ||||||||||||
Open Access: | Ja | ||||||||||||
Gold Open Access: | Nein | ||||||||||||
In SCOPUS: | Nein | ||||||||||||
In ISI Web of Science: | Nein | ||||||||||||
DOI: | 10.1109/ICIP.2015.7350862 | ||||||||||||
Seitenbereich: | Seiten 566-570 | ||||||||||||
Verlag: | IEEE Xplore | ||||||||||||
Status: | veröffentlicht | ||||||||||||
Stichwörter: | Sensory Gap, Latent Dirichlet Allocation, Human Perception, Earth Observation | ||||||||||||
Veranstaltungstitel: | IEEE International Conference on Image Processing (ICIP) | ||||||||||||
Veranstaltungsort: | Quebec city, Canada | ||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||
Veranstaltungsbeginn: | 27 September 2015 | ||||||||||||
Veranstaltungsende: | 30 September 2015 | ||||||||||||
Veranstalter : | IEEE Org. | ||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||
HGF - Programm: | Verkehr | ||||||||||||
HGF - Programmthema: | Verkehrsmanagement (alt) | ||||||||||||
DLR - Schwerpunkt: | Verkehr | ||||||||||||
DLR - Forschungsgebiet: | V VM - Verkehrsmanagement | ||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | V - Vabene++ (alt) | ||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > Photogrammetrie und Bildanalyse | ||||||||||||
Hinterlegt von: | Bahmanyar, Gholamreza | ||||||||||||
Hinterlegt am: | 28 Mai 2015 16:04 | ||||||||||||
Letzte Änderung: | 24 Apr 2024 20:02 |
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