Multitemporal interpretation of remote sensing data

Show simple item record

dc.identifier.uri http://dx.doi.org/10.15488/3367
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/3397
dc.contributor.author Müller, Sönke
dc.contributor.author Mota, Guilherme Lucio Abelha
dc.contributor.author Liedtke, Claus-Eberhard
dc.date.accessioned 2018-05-23T07:46:38Z
dc.date.available 2018-05-23T07:46:38Z
dc.date.issued 2004
dc.identifier.citation Müller, S.; Mota, G.L.A.; Liedtke, C.-E.: Multitemporal interpretation of remote sensing data. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 35 Part B4 (2004), S. 1244-1248.
dc.description.abstract The automated interpretation of aerial image data is a task with increasing significance for several applications, e.g. quality control and automatic updating of GIS data, automatic land use change detection, measurement of sealed areas for public authority uses, monitoring of land erosion etc. The use of additional sensors could improve the performance of the automated classification; however, because of additional costs or simple unavailability of data, this approach should be avoided. One possibility to stabilize an automatic image analysis is using remote sensing data of the same region of different dates that is often existing. This paper presents a method how a monotemporal knowledge representation can be expanded by a temporal component to take advantage of previous classifications of the same scene and knowledge about the time dependency of the object classes. The present approach proposes the combination of a semantic network, representing the generic description of the scene, and a state transition diagram, modeling the possible state transitions for each one of the classes of interest. The probabilities of the state transition diagram are introduced as a priori knowledge in a statistical classification procedure. Experimental results from a series of three aerial images from 1983 up to 2001 of a suburban region near Hannover are shown in order to illustrate the potential of the proposed multitemporal approach. © 2004 International Society for Photogrammetry and Remote Sensing. All rights reserved. eng
dc.language.iso eng
dc.publisher London : International Society for Photogrammetry and Remote Sensing
dc.relation.ispartof XXth ISPRS Congress Technical Commission IV; July 12-23, 2004; Istanbul, Turkey
dc.relation.ispartofseries International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 35 Part B4 (2004)
dc.rights CC BY 3.0
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject Aerial eng
dc.subject Classification eng
dc.subject Knowledge base eng
dc.subject Land use eng
dc.subject Multitemporal eng
dc.subject Urban eng
dc.subject Antennas eng
dc.subject Classification (of information) eng
dc.subject Image enhancement eng
dc.subject Knowledge based systems eng
dc.subject Knowledge representation eng
dc.subject Land use eng
dc.subject Quality control eng
dc.subject Semantics eng
dc.subject Automated classification eng
dc.subject Automated interpretation eng
dc.subject Automatic image analysis eng
dc.subject Knowledge base eng
dc.subject Multi-temporal eng
dc.subject State transition diagrams eng
dc.subject Statistical classification eng
dc.subject Urban eng
dc.subject Remote sensing eng
dc.subject.ddc 550 | Geowissenschaften ger
dc.title Multitemporal interpretation of remote sensing data
dc.type article
dc.type conferenceObject
dc.type Text
dc.relation.issn 1682-1750
dc.bibliographicCitation.volume 35
dc.bibliographicCitation.firstPage 1244
dc.bibliographicCitation.lastPage 1248
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


Files in this item

The following license files are associated with this item:

This item appears in the following Collection(s):

Show simple item record

 

Search the repository


Browse

My Account

Usage Statistics