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Building C la ssifi c a tio n o f Te r r e str ia l Im a ge s b y G e ne r ic G e o m e tr ic H ie r a r c h ic a l C luste r A na ly sis Fe a tur e s
 

Summary: Building C la ssifi c a tio n o f Te r r e str ia l Im a ge s b y G e ne r ic G e o m e tr ic H ie r a r c h ic a l
C luste r A na ly sis Fe a tur e s
Gerd B ru n n er a n d H a n s B u rk h a rdt
In stitu te fo r Pa ttern R ec o g n itio n a n d Im a g e Pro c essin g ,
C o m p u ter S c ien c e D ep a rtm en t, U n iversity o f F reib u rg ,
Geo rg es-K o eh ler-A llee 0 5 2 ,
7 9 1 1 0 F reib u rg , Germ a n y
E -m a il: gbrunner, Hans.Burkhardt @informatik.uni-freiburg.de
Abstract
The sco p e o f this p ap er is the challen gin g task o f classi-
fy in g terrestrial im ages o f bu ild in gs, au to m atically. S traight
lin e segm en ts an d their co n n ectiv ity in co rp o rate sign ifi can t
in fo rm atio n abo u t o bject shap es. M an -m ad e bu ild in gs ex -
hibit sp ecial gen eric shap es w hich are ex tracted fro m em -
bed d ed sp atial an d an gu lar lin e segm en t relatio n ship s by
clu ster an aly sis. A fter em p lo y in g an agglo m erativ e hierar-
chical clu ster an aly sis w e o btain geo m etrical stru ctu re in -
fo rm atio n featu res o n d ifferen t scales. Fo r the classifi ca-
tio n p ro cess w e ap p ly su p p o rt v ecto r m achin es (S V M ) w ith
p o ly n o m ial an d rad ial basis fu n ctio n (R B F) kern els to sep -

  

Source: Albert-Ludwigs-Universität Freiburg, Institut für Informatik,, Lehrstuhls für Mustererkennung und Bildverarbeitung

 

Collections: Computer Technologies and Information Sciences