Adapting, splitting and merging cadastral boundaries according to homogenous LULC types derived from spot 5 data

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

Original language	English
Pages	99-104
Number of pages	6
Publication status	Published - 1 Dec 2007
Event	Photogrammetric Image Analysis, PIA 2007 - Munich, Germany Duration: 19 Sept 2007 → 21 Sept 2007

Conference	Photogrammetric Image Analysis, PIA 2007
Country/Territory	Germany
City	Munich
Period	19/09/07 → 21/09/07

Keywords

@conference{ff647e0d278a49c597807d1b26b12bef,

title = "Adapting, splitting and merging cadastral boundaries according to homogenous LULC types derived from spot 5 data",

keywords = "Adaptive per-parcel approach, Cognition network language (CNL), LULC, Object modelling, Object-based image analysis (OBIA)",

author = "D. Tiede and Moeller, {M. S.} and S. Lang and D. Hoelbling",

year = "2007",

month = dec,

day = "1",

language = "English",

pages = "99--104",

note = "Photogrammetric Image Analysis, PIA 2007 ; Conference date: 19-09-2007 Through 21-09-2007",

}

TY - CONF

T1 - Adapting, splitting and merging cadastral boundaries according to homogenous LULC types derived from spot 5 data

AU - Tiede, D.

AU - Moeller, M. S.

AU - Lang, S.

AU - Hoelbling, D.

PY - 2007/12/1

Y1 - 2007/12/1

KW - Adaptive per-parcel approach

KW - Cognition network language (CNL)

KW - LULC

KW - Object modelling

KW - Object-based image analysis (OBIA)

UR - http://www.scopus.com/inward/record.url?scp=84882931088&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84882931088

SP - 99

EP - 104

T2 - Photogrammetric Image Analysis, PIA 2007

Y2 - 19 September 2007 through 21 September 2007

ER -