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Object Recognition Based on the Context Aware Decision-Level Fusion in Multiviews Imagery

Mahmoudi, Fatemeh Tabib and Samadzadegan, F. and Reinartz, Peter (2015) Object Recognition Based on the Context Aware Decision-Level Fusion in Multiviews Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8 (1), pp. 12-21. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/JSTARS.2014.2362103 ISSN 1939-1404

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Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6945375


Spectral similarities and spatial adjacencies between various kinds of objects, shadow, and occluded areas behind high-rise objects as well as the complex relationships between various object types lead to the difficulties and ambiguities in object recognition in urban areas. Using a knowledge base containing the contextual information together with the multiviews imagery may improve the object recognition results in such a situation. The proposed object recognition strategy in this paper has two main stages: single view and multiviews processes. In the single view process, defining region’s properties for each of the segmented regions, the object-based image analysis (OBIA) is performed independently on the individual views. In the second stage, the classified objects of all views are fused together through a decision-level fusion based on the scene contextual information in order to refine the classification results. Sensory information, analyzing visibility maps, height, and the structural characteristics of the multiviews classified objects define the scene contextual information. Evaluation of the capabilities of the proposed context aware object recognition methodology is performed on two datasets: 1) multiangular Worldview-2 satellite images over Rio de Janeiro in Brazil and 2) multiviews digital modular camera (DMC) aerial images over a complex urban area in Germany. The obtained results represent that using the contextual information together with a decision-level fusion of multiviews, the object recognition difficulties and ambiguities are decreased and the overall accuracy and the kappa are gradually improved for both of theWorldView-2 and the DMC datasets.

Item URL in elib:https://elib.dlr.de/92968/
Document Type:Article
Title:Object Recognition Based on the Context Aware Decision-Level Fusion in Multiviews Imagery
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Mahmoudi, Fatemeh TabibUniversity of Tehran, Tehran, IranUNSPECIFIED
Reinartz, Peterpeter.reinartz (at) dlr.deUNSPECIFIED
Date:January 2015
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:No
In ISI Web of Science:Yes
DOI :10.1109/JSTARS.2014.2362103
Page Range:pp. 12-21
Chanussot, Jocelynjocelyn.chanussot@gipsa-lab.grenoble-inp.fr
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:Contextual information, decision-level fusion, object recognition, visibility analysis
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 On:03 Dec 2014 09:54
Last Modified:31 Jul 2019 19:50

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