Automatic Mapping of Settlement Areas Using a Knowledge-Based Image Interpretation System

Bernd-Michael Straub; Markus Gerke; Martin Pahl

doi:10.1007/3-540-36592-3_34

Automatic Mapping of Settlement Areas Using a Knowledge-Based Image Interpretation System

Bernd-Michael Straub
, Markus Gerke
, Martin Pahl

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

2 Downloads (Pure)

Abstract

We introduce the knowledge-based image interpretation system GeoAIDA and give examples for an image operator, extracting trees from aerial imagery. Moreover we present a generic grouping approach, based on the Relative Neighborhood Graph. The application of the tree operator to a test site shows that the introduced approach for the delineation of trees using Active Contour Models leads to good results. The grouping algorithm is used in order to identify building rows. In the paper we shortly describe the theory of the image operator, and the performance of the whole system is demonstrated by means of examples. Results from a test area show that the information about building rows can be used for the enhancement of the building reconstruction.

Original language	English
Title of host publication	Computer Vision Systems
Subtitle of host publication	Third International Conference, ICVS 2003, Graz, Austria, April 1–3, 2003. Proceedings
Editors	James L. Crowley, Justus H. Piater, Markus Vincze, Lucas Paletta
Place of Publication	Berlin
Publisher	Springer
Pages	355-364
ISBN (Electronic)	978-3-540-36592-1
ISBN (Print)	978-3-54000921-4
DOIs	https://doi.org/10.1007/3-540-36592-3_34
Publication status	Published - 2003
Event	3rd International Conference on Computer Vision Systems, ICVS 2003 - Graz, Austria Duration: 1 Apr 2003 → 3 Apr 2003 Conference number: 3

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	2626
ISSN (Print)	0302-9743

Conference

Conference	3rd International Conference on Computer Vision Systems, ICVS 2003
Abbreviated title	ICVS
Country/Territory	Austria
City	Graz
Period	1/04/03 → 3/04/03

Keywords

EOS
ADLIB-ART-130
n/a OA procedure

Access to Document

10.1007/3-540-36592-3_34

Cite this

Straub, B.-M., Gerke, M., & Pahl, M. (2003). Automatic Mapping of Settlement Areas Using a Knowledge-Based Image Interpretation System. In J. L. Crowley, J. H. Piater, M. Vincze, & L. Paletta (Eds.), Computer Vision Systems: Third International Conference, ICVS 2003, Graz, Austria, April 1–3, 2003. Proceedings (pp. 355-364). (Lecture Notes in Computer Science; Vol. 2626). Springer. https://doi.org/10.1007/3-540-36592-3_34

Straub, Bernd-Michael ; Gerke, Markus ; Pahl, Martin. / Automatic Mapping of Settlement Areas Using a Knowledge-Based Image Interpretation System. Computer Vision Systems: Third International Conference, ICVS 2003, Graz, Austria, April 1–3, 2003. Proceedings. editor / James L. Crowley ; Justus H. Piater ; Markus Vincze ; Lucas Paletta. Berlin : Springer, 2003. pp. 355-364 (Lecture Notes in Computer Science).

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title = "Automatic Mapping of Settlement Areas Using a Knowledge-Based Image Interpretation System",

abstract = "We introduce the knowledge-based image interpretation system GeoAIDA and give examples for an image operator, extracting trees from aerial imagery. Moreover we present a generic grouping approach, based on the Relative Neighborhood Graph. The application of the tree operator to a test site shows that the introduced approach for the delineation of trees using Active Contour Models leads to good results. The grouping algorithm is used in order to identify building rows. In the paper we shortly describe the theory of the image operator, and the performance of the whole system is demonstrated by means of examples. Results from a test area show that the information about building rows can be used for the enhancement of the building reconstruction.",

keywords = "EOS, ADLIB-ART-130, n/a OA procedure",

author = "Bernd-Michael Straub and Markus Gerke and Martin Pahl",

year = "2003",

doi = "10.1007/3-540-36592-3\_34",

language = "English",

isbn = "978-3-54000921-4",

series = "Lecture Notes in Computer Science",

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pages = "355--364",

editor = "Crowley, \{James L.\} and Piater, \{Justus H.\} and Markus Vincze and Lucas Paletta",

booktitle = "Computer Vision Systems",

address = "Germany",

note = "3rd International Conference on Computer Vision Systems, ICVS 2003, ICVS ; Conference date: 01-04-2003 Through 03-04-2003",

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Straub, B-M, Gerke, M & Pahl, M 2003, Automatic Mapping of Settlement Areas Using a Knowledge-Based Image Interpretation System. in JL Crowley, JH Piater, M Vincze & L Paletta (eds), Computer Vision Systems: Third International Conference, ICVS 2003, Graz, Austria, April 1–3, 2003. Proceedings. Lecture Notes in Computer Science, vol. 2626, Springer, Berlin, pp. 355-364, 3rd International Conference on Computer Vision Systems, ICVS 2003, Graz, Austria, 1/04/03. https://doi.org/10.1007/3-540-36592-3_34

Automatic Mapping of Settlement Areas Using a Knowledge-Based Image Interpretation System. / Straub, Bernd-Michael; Gerke, Markus; Pahl, Martin.
Computer Vision Systems: Third International Conference, ICVS 2003, Graz, Austria, April 1–3, 2003. Proceedings. ed. / James L. Crowley; Justus H. Piater; Markus Vincze; Lucas Paletta. Berlin: Springer, 2003. p. 355-364 (Lecture Notes in Computer Science; Vol. 2626).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

TY - CHAP

T1 - Automatic Mapping of Settlement Areas Using a Knowledge-Based Image Interpretation System

AU - Straub, Bernd-Michael

AU - Gerke, Markus

AU - Pahl, Martin

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N2 - We introduce the knowledge-based image interpretation system GeoAIDA and give examples for an image operator, extracting trees from aerial imagery. Moreover we present a generic grouping approach, based on the Relative Neighborhood Graph. The application of the tree operator to a test site shows that the introduced approach for the delineation of trees using Active Contour Models leads to good results. The grouping algorithm is used in order to identify building rows. In the paper we shortly describe the theory of the image operator, and the performance of the whole system is demonstrated by means of examples. Results from a test area show that the information about building rows can be used for the enhancement of the building reconstruction.

AB - We introduce the knowledge-based image interpretation system GeoAIDA and give examples for an image operator, extracting trees from aerial imagery. Moreover we present a generic grouping approach, based on the Relative Neighborhood Graph. The application of the tree operator to a test site shows that the introduced approach for the delineation of trees using Active Contour Models leads to good results. The grouping algorithm is used in order to identify building rows. In the paper we shortly describe the theory of the image operator, and the performance of the whole system is demonstrated by means of examples. Results from a test area show that the information about building rows can be used for the enhancement of the building reconstruction.

KW - EOS

KW - ADLIB-ART-130

KW - n/a OA procedure

U2 - 10.1007/3-540-36592-3_34

DO - 10.1007/3-540-36592-3_34

M3 - Chapter

SN - 978-3-54000921-4

T3 - Lecture Notes in Computer Science

SP - 355

EP - 364

BT - Computer Vision Systems

A2 - Crowley, James L.

A2 - Piater, Justus H.

A2 - Vincze, Markus

A2 - Paletta, Lucas

PB - Springer

CY - Berlin

T2 - 3rd International Conference on Computer Vision Systems, ICVS 2003

Y2 - 1 April 2003 through 3 April 2003

ER -

Straub BM, Gerke M, Pahl M. Automatic Mapping of Settlement Areas Using a Knowledge-Based Image Interpretation System. In Crowley JL, Piater JH, Vincze M, Paletta L, editors, Computer Vision Systems: Third International Conference, ICVS 2003, Graz, Austria, April 1–3, 2003. Proceedings. Berlin: Springer. 2003. p. 355-364. (Lecture Notes in Computer Science). doi: 10.1007/3-540-36592-3_34

Automatic Mapping of Settlement Areas Using a Knowledge-Based Image Interpretation System

Abstract

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Keywords

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