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A Decision Level Fusion Method for Object Recognition Using Multi-Angular Imagery

Mahmoudi, Fatemeh and Samadzadegan, Farhad and Reinartz, Peter (2013) A Decision Level Fusion Method for Object Recognition Using Multi-Angular Imagery. In: ISPRS International Conference on Sensors and Models in Photogrammetry and Remote Sensing, XL-1/W, pp. 409-414. ISPRS Archives. SMPR 2013, 5.-8. Okt. 2013, Tehran, Iran. ISBN doi:10.5194/isprsarchives-XL-1-W3-409-2013

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Official URL: http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W3/409/2013/isprsarchives-XL-1-W3-409-2013.html

Abstract

Spectral similarity and spatial adjacency between various kinds of objects, shadow and occluded areas behind high rise objects as well as complex relationships lead to object recognition difficulties and ambiguities in complex urban areas. Using new multi-angular satellite imagery, higher levels of analysis and developing a context aware system may improve object recognition results in these situations. In this paper, the capability of multi-angular satellite imagery is used in order to solve object recognition difficulties in complex urban areas based on decision level fusion of Object Based Image Analysis (OBIA). The proposed methodology has two main stages. In the first stage, object based image analysis is performed independently on each of the multi-angular images. Then, in the second stage, the initial classified regions of each individual multi-angular image are fused through a decision level fusion based on the definition of scene context. Evaluation of the capabilities of the proposed methodology is performed on multi-angular WorldView-2 satellite imagery over Rio de Janeiro (Brazil).The obtained results represent several advantages of multi-angular imagery with respect to a single shot dataset. Together with the capabilities of the proposed decision level fusion method, most of the object recognition difficulties and ambiguities are decreased and the overall accuracy and the kappa values are improved.

Item URL in elib:https://elib.dlr.de/86432/
Document Type:Conference or Workshop Item (Speech)
Title:A Decision Level Fusion Method for Object Recognition Using Multi-Angular Imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Mahmoudi, FatemehUniverität TeheranUNSPECIFIED
Samadzadegan, Farhadfarhad.samadzadegan (at) dlr.deUNSPECIFIED
Reinartz, PeterPeter.Reinartz (at) dlr.deUNSPECIFIED
Date:October 2013
Journal or Publication Title:ISPRS International Conference on Sensors and Models in Photogrammetry and Remote Sensing
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:XL-1/W
Page Range:pp. 409-414
Editors:
EditorsEmail
Mahmoudi, F. TabibUniversity of Tehran
Samadzadegan, F.Universtity of Tehran
Reinartz, Peterpeter.reinartz@dlr.de
Publisher:ISPRS Archives
Series Name:International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ISBN:doi:10.5194/isprsarchives-XL-1-W3-409-2013
Status:Published
Keywords:Object Recognition, Decision Level Fusion, Visibility Map, Shadow Recovery, Texture, Weighting Strategy
Event Title:SMPR 2013
Event Location:Tehran, Iran
Event Type:international Conference
Event Dates:5.-8. Okt. 2013
Organizer:University of Tehran
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Reinartz, Prof. Dr.. Peter
Deposited On:09 Dec 2013 08:11
Last Modified:31 Jul 2019 19:43

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