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Urban environment modelling by fusion of a cadastral map and a digital elevation model

Identifieur interne : 000C15 ( PascalFrancis/Corpus ); précédent : 000C14; suivant : 000C16

Urban environment modelling by fusion of a cadastral map and a digital elevation model

Auteurs : P. Dosch ; G. Masini

Source :

RBID : Pascal:98-0079956

Descripteurs français

English descriptors

Abstract

This paper describes a method to automatically construct a 3D geometric model of an urban area by merging features extracted from a cadastral map of the area and from the corresponding digital elevation model (DEM). The cadastral map and the DEM are both transformed into two sets of contour segments: The segments extracted from the map represent contours of buildings and blocks of buildings, whereas the segments extracted from the DEM represent the external edges of blocks of buildings (edges of buildings are generally missed because buildings of a same block often have the same height). The fusion of these two sets takes two main steps. The DEM segments are first matched with map segments by pruning a correspondence graph using a maximal clique technique. The result gives the 3D structure of the blocks of buildings. The remaining map segments, i.e. those which have no correspondent in the DEM, represent the contours of the buildings inside the blocks. The elevation of such a segment can then be estimated from the previously matched segments with which it is connected in the 3D structure. Some results and perspectives are presented as a conclusion.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

pA  
A08 01  1  ENG  @1 Urban environment modelling by fusion of a cadastral map and a digital elevation model
A09 01  1  ENG  @1 SCIA'97 : 10th Scandinavian conference on image analysis : Lappeeranta, June 9-11, 1997
A11 01  1    @1 DOSCH (P.)
A11 02  1    @1 MASINI (G.)
A12 01  1    @1 FRYDRYCH (Michael) @9 ed.
A12 02  1    @1 PARKKINENE (Jussi) @9 ed.
A12 03  1    @1 VISA (Ari) @9 ed.
A14 01      @1 INRIA Lorraine - CRIN/CNRS, 615, rue du jardin botanique B.P. 101 @2 54602 Villers-lès-Nancy @3 FRA @Z 1 aut. @Z 2 aut.
A20       @1 431-437
A21       @1 1997
A23 01      @0 ENG
A25 01      @1 Pattern Recognition Society @2 Lappeeranta
A26 01      @0 951-764-145-1
A30 01  1  ENG  @1 Scandinavian conference on image analysis @2 10 @3 Lappeeranta FIN @4 1997-06-09
A43 01      @1 INIST @2 Y 31653 @5 354000068107910580
A44       @0 0000 @1 © 1998 INIST-CNRS. All rights reserved.
A45       @0 14 ref.
A47 01  1    @0 98-0079956
A60       @1 C
A61       @0 A
A66 01      @0 FIN
C01 01    ENG  @0 This paper describes a method to automatically construct a 3D geometric model of an urban area by merging features extracted from a cadastral map of the area and from the corresponding digital elevation model (DEM). The cadastral map and the DEM are both transformed into two sets of contour segments: The segments extracted from the map represent contours of buildings and blocks of buildings, whereas the segments extracted from the DEM represent the external edges of blocks of buildings (edges of buildings are generally missed because buildings of a same block often have the same height). The fusion of these two sets takes two main steps. The DEM segments are first matched with map segments by pruning a correspondence graph using a maximal clique technique. The result gives the 3D structure of the blocks of buildings. The remaining map segments, i.e. those which have no correspondent in the DEM, represent the contours of the buildings inside the blocks. The elevation of such a segment can then be estimated from the previously matched segments with which it is connected in the 3D structure. Some results and perspectives are presented as a conclusion.
C02 01  X    @0 001D02C03
C03 01  X  FRE  @0 Simulation numérique @5 01
C03 01  X  ENG  @0 Numerical simulation @5 01
C03 01  X  SPA  @0 Simulación numérica @5 01
C03 02  X  FRE  @0 Traitement image @5 02
C03 02  X  ENG  @0 Image processing @5 02
C03 02  X  GER  @0 Bildverarbeitung @5 02
C03 02  X  SPA  @0 Procesamiento imagen @5 02
C03 03  X  FRE  @0 Reconnaissance forme @5 03
C03 03  X  ENG  @0 Pattern recognition @5 03
C03 03  X  GER  @0 Mustererkennung @5 03
C03 03  X  SPA  @0 Reconocimiento patrón @5 03
C03 04  X  FRE  @0 Reconstruction surface @5 04
C03 04  X  ENG  @0 Surface reconstruction @5 04
C03 04  X  SPA  @0 Reconstrucción superficie @5 04
C03 05  X  FRE  @0 Carte cadastrale @5 05
C03 05  X  ENG  @0 Cadastral map @5 05
C03 05  X  SPA  @0 Mapa catastral @5 05
N21       @1 047

Format Inist (serveur)

NO : PASCAL 98-0079956 INIST
ET : Urban environment modelling by fusion of a cadastral map and a digital elevation model
AU : DOSCH (P.); MASINI (G.); FRYDRYCH (Michael); PARKKINENE (Jussi); VISA (Ari)
AF : INRIA Lorraine - CRIN/CNRS, 615, rue du jardin botanique B.P. 101/54602 Villers-lès-Nancy/France (1 aut., 2 aut.)
DT : Congrès; Niveau analytique
SO : Scandinavian conference on image analysis/10/1997-06-09/Lappeeranta FIN; Finlande; Lappeeranta: Pattern Recognition Society; Da. 1997; Pp. 431-437; ISBN 951-764-145-1
LA : Anglais
EA : This paper describes a method to automatically construct a 3D geometric model of an urban area by merging features extracted from a cadastral map of the area and from the corresponding digital elevation model (DEM). The cadastral map and the DEM are both transformed into two sets of contour segments: The segments extracted from the map represent contours of buildings and blocks of buildings, whereas the segments extracted from the DEM represent the external edges of blocks of buildings (edges of buildings are generally missed because buildings of a same block often have the same height). The fusion of these two sets takes two main steps. The DEM segments are first matched with map segments by pruning a correspondence graph using a maximal clique technique. The result gives the 3D structure of the blocks of buildings. The remaining map segments, i.e. those which have no correspondent in the DEM, represent the contours of the buildings inside the blocks. The elevation of such a segment can then be estimated from the previously matched segments with which it is connected in the 3D structure. Some results and perspectives are presented as a conclusion.
CC : 001D02C03
FD : Simulation numérique; Traitement image; Reconnaissance forme; Reconstruction surface; Carte cadastrale
ED : Numerical simulation; Image processing; Pattern recognition; Surface reconstruction; Cadastral map
GD : Bildverarbeitung; Mustererkennung
SD : Simulación numérica; Procesamiento imagen; Reconocimiento patrón; Reconstrucción superficie; Mapa catastral
LO : INIST-Y 31653.354000068107910580
ID : 98-0079956

Links to Exploration step

Pascal:98-0079956

Le document en format XML

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