Automated interpretation of aerial photographs using local and global rules

Wim Mees; Marc Acheroy

Automated interpretation of aerial photographs using local and global rules

Wim Mees
, Marc Acheroy

Communication, Information, Systems and Sensors

Onderzoeksoutput: ONGEPUBLICEERD bijdrage aan congres › Paper › peer review

1 Citaat (Scopus)

Samenvatting

In this paper a method will be presented for building an object oriented world model from aerial imagery. A combination of local and global rules are imposed using fuzzy rule based expert systems. Through a feed-back loop the satisfaction level of the global rules will tune the local detection parameters.

Originele taal-2	Engels
Pagina's	459-465
Aantal pagina's	7
Status	Gepubliceerd - 1995
Evenement	Proceedings of the 1995 Artificial Neural Networks in Engineering, ANNIE'95 - St.Louis, MO, USA Duur: 12 nov. 1995 → 15 nov. 1995

Congres

Congres	Proceedings of the 1995 Artificial Neural Networks in Engineering, ANNIE'95
Stad	St.Louis, MO, USA
Periode	12/11/95 → 15/11/95

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title = "Automated interpretation of aerial photographs using local and global rules",

abstract = "In this paper a method will be presented for building an object oriented world model from aerial imagery. A combination of local and global rules are imposed using fuzzy rule based expert systems. Through a feed-back loop the satisfaction level of the global rules will tune the local detection parameters.",

author = "Wim Mees and Marc Acheroy",

year = "1995",

language = "English",

pages = "459--465",

note = "Proceedings of the 1995 Artificial Neural Networks in Engineering, ANNIE'95 ; Conference date: 12-11-1995 Through 15-11-1995",

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TY - CONF

T1 - Automated interpretation of aerial photographs using local and global rules

AU - Mees, Wim

AU - Acheroy, Marc

PY - 1995

Y1 - 1995

N2 - In this paper a method will be presented for building an object oriented world model from aerial imagery. A combination of local and global rules are imposed using fuzzy rule based expert systems. Through a feed-back loop the satisfaction level of the global rules will tune the local detection parameters.

AB - In this paper a method will be presented for building an object oriented world model from aerial imagery. A combination of local and global rules are imposed using fuzzy rule based expert systems. Through a feed-back loop the satisfaction level of the global rules will tune the local detection parameters.

UR - https://www.scopus.com/pages/publications/0029417793

M3 - Paper

AN - SCOPUS:0029417793

SP - 459

EP - 465

T2 - Proceedings of the 1995 Artificial Neural Networks in Engineering, ANNIE'95

Y2 - 12 November 1995 through 15 November 1995

ER -

Automated interpretation of aerial photographs using local and global rules

Samenvatting

Congres

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