Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
MINING OF REMOTE SENSING IMAGE ARCHIVES USING SPATIAL RELATIONSHIP HISTOGRAMS
 

Summary: MINING OF REMOTE SENSING IMAGE ARCHIVES
USING SPATIAL RELATIONSHIP HISTOGRAMS
Firat Kalaycilar, Asli Kale, Daniya Zamalieva, Selim Aksoy
Department of Computer Engineering
Bilkent University
Bilkent, 06800, Ankara, Turkey
{firatk,akale,daniya,saksoy}@cs.bilkent.edu.tr
ABSTRACT
We describe a new image representation using spatial rela-
tionship histograms that extend our earlier work on model-
ing image content using attributed relational graphs. These
histograms are constructed by classifying the regions in an
image, computing the topological and distance-based spatial
relationships between these regions, and counting the number
of times different groups of regions are observed in the im-
age. We also describe a selection algorithm that produces very
compact representations by identifying the distinguishing re-
gion groups that are frequently found in a particular class of
scenes but rarely exist in others. Experiments using Ikonos
scenes illustrate the effectiveness of the proposed representa-

  

Source: Aksoy, Selim - Department of Computer Engineering, Bilkent University

 

Collections: Computer Technologies and Information Sciences