Improvement of cadastral map assembling based on GHT

Fei Liu; Wataru Oyama; Tetsushi Wakabayashi; Fumitaka Kimura

Improvement of cadastral map assembling based on GHT

Fei Liu, Wataru Oyama, Tetsushi Wakabayashi, Fumitaka Kimura

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

There are numerous cadastral maps generated by past land surveying. For effective and efficient use of these maps, we have to assemble the set of maps to make them superimposable on other geographic information in a Geographic Information System. We present an automatic solution based on the generalized Hough transformation that detects the common longest boundary between every piece and its neighbors. And we present a high-speed technique for the cadastral map assembling by the segment reduction. The results of the experiment with the French cadastral maps show that the proposed method is suitable for assembling the cadastral map.

Original language	English
Title of host publication	Proceedings of IAPR Conference on Machine Vision Applications, MVA 2007
Pages	571-574
Number of pages	4
Publication status	Published - Dec 1 2007
Externally published	Yes
Event	10th IAPR Conference on Machine Vision Applications, MVA 2007 - Tokyo, Japan Duration: May 16 2007 → May 18 2007

Other

Other	10th IAPR Conference on Machine Vision Applications, MVA 2007
Country	Japan
City	Tokyo
Period	5/16/07 → 5/18/07

All Science Journal Classification (ASJC) codes

Computer Vision and Pattern Recognition

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title = "Improvement of cadastral map assembling based on GHT",

abstract = "There are numerous cadastral maps generated by past land surveying. For effective and efficient use of these maps, we have to assemble the set of maps to make them superimposable on other geographic information in a Geographic Information System. We present an automatic solution based on the generalized Hough transformation that detects the common longest boundary between every piece and its neighbors. And we present a high-speed technique for the cadastral map assembling by the segment reduction. The results of the experiment with the French cadastral maps show that the proposed method is suitable for assembling the cadastral map.",

author = "Fei Liu and Wataru Oyama and Tetsushi Wakabayashi and Fumitaka Kimura",

year = "2007",

month = dec,

day = "1",

language = "English",

isbn = "9784901122078",

pages = "571--574",

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note = "10th IAPR Conference on Machine Vision Applications, MVA 2007 ; Conference date: 16-05-2007 Through 18-05-2007",

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TY - GEN

T1 - Improvement of cadastral map assembling based on GHT

AU - Liu, Fei

AU - Oyama, Wataru

AU - Wakabayashi, Tetsushi

AU - Kimura, Fumitaka

PY - 2007/12/1

Y1 - 2007/12/1

N2 - There are numerous cadastral maps generated by past land surveying. For effective and efficient use of these maps, we have to assemble the set of maps to make them superimposable on other geographic information in a Geographic Information System. We present an automatic solution based on the generalized Hough transformation that detects the common longest boundary between every piece and its neighbors. And we present a high-speed technique for the cadastral map assembling by the segment reduction. The results of the experiment with the French cadastral maps show that the proposed method is suitable for assembling the cadastral map.

AB - There are numerous cadastral maps generated by past land surveying. For effective and efficient use of these maps, we have to assemble the set of maps to make them superimposable on other geographic information in a Geographic Information System. We present an automatic solution based on the generalized Hough transformation that detects the common longest boundary between every piece and its neighbors. And we present a high-speed technique for the cadastral map assembling by the segment reduction. The results of the experiment with the French cadastral maps show that the proposed method is suitable for assembling the cadastral map.

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M3 - Conference contribution

AN - SCOPUS:84872538517

SN - 9784901122078

SP - 571

EP - 574

BT - Proceedings of IAPR Conference on Machine Vision Applications, MVA 2007

T2 - 10th IAPR Conference on Machine Vision Applications, MVA 2007

Y2 - 16 May 2007 through 18 May 2007

ER -

Improvement of cadastral map assembling based on GHT

Abstract

Other

All Science Journal Classification (ASJC) codes

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