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Multi-Agent Recognition System based on Object Based Image Analysis Using WorldView-2

Mahmoudi, Fatemeh and Samadzadegan, Farhad and Reinartz, Peter (2014) Multi-Agent Recognition System based on Object Based Image Analysis Using WorldView-2. Photogrammetric Engineering and Remote Sensing (PE&RS), 80 (2), pp. 161-170. American Society for Photogrammetry and Remote Sensing. DOI: 10.14358/PERS.80.2.161 ISSN 0099-1112

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Official URL: http://www.asprs.org/Photogrammetric-Engineering-and-Remote-Sensing/PE-RS-Journals.html


In this paper, using spatial and spectral characteristics of the WorldView-2 satellite imagery, capabilities of multi-agent systems are used for solving multiple object recognition difficulties in complex urban areas. The methodology has two main steps: object based image analysis (OBIA) and multiagent object recognition. In the first step, segmentation and multi-process object classification based on spectral, textural, and structural features are performed. Classified regions are used as an input dataset in the multi-agent system in order to modify object recognition results. According to the results from the object based image analysis process, using contextual relations and structural features, the overall accuracy and Kappa improved by 17.79 percent and 0.253, respectively. Using knowledge-based reasoning and cooperative capabilities of agents in the multi-agent system in this paper, most of the remaining difficulties are decreased and values 90.95 percent and 0.876 are obtained for the overall accuracy and Kappa, respectively, of the object recognition results.

Item URL in elib:https://elib.dlr.de/88094/
Document Type:Article
Title:Multi-Agent Recognition System based on Object Based Image Analysis Using WorldView-2
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Mahmoudi, FatemehUniverität TeheranUNSPECIFIED
Samadzadegan, Farhadfarhad.samadzadegan (at) dlr.deUNSPECIFIED
Reinartz, PeterPeter.Reinartz (at) dlr.deUNSPECIFIED
Date:February 2014
Journal or Publication Title:Photogrammetric Engineering and Remote Sensing (PE&RS)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.14358/PERS.80.2.161
Page Range:pp. 161-170
Congalton, Russel G.University of New Hampshire
Publisher:American Society for Photogrammetry and Remote Sensing
Keywords:Object Recognition; Decision Level Fusion; Visibility Map; Shadow Recovery; Multi-agent; Texture; Topological Relationship
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:12 Feb 2014 09:40
Last Modified:06 Sep 2019 15:29

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