An interactive approach for extraction of urban patterns from multisource images

The extraction of urban patterns from Very High Spatial Resolution (VHSR) images presents several challenges related to the size, the accuracy and the complexity of the considered data. In order to assist the end-user to efficiently carry out this task, a new approach is proposed for hierarchically...

Full description

Saved in:
Bibliographic Details
Published in2011 Joint Urban Remote Sensing Event pp. 321 - 324
Main Authors Kurtz, C, Puissant, A, Passat, N, Gancarski, P
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2011
Subjects
Data mining
Image segmentation
Joints
Radiometry
Remote sensing
Spatial resolution
Online AccessGet full text

Cover

More Information
Summary:The extraction of urban patterns from Very High Spatial Resolution (VHSR) images presents several challenges related to the size, the accuracy and the complexity of the considered data. In order to assist the end-user to efficiently carry out this task, a new approach is proposed for hierarchically extracting segments of interest from lower resolution data and finally determining urban patterns in these segments from VHSR ones. Based on an intuitive modus operandi, it allows the end-user to progressively segment images based on low level -spatial and radiometric- criteria. Experiments performed on urban images datasets provide encouraging results which may be further used for objects detection and classification purpose.
ISBN:9781424486588
1424486580
ISSN:2334-0932
2642-9535
DOI:10.1109/JURSE.2011.5764784