Development of transferable rule-sets for urban areas using QuickBird satellite imagery

Author

Tathiri, Anahita ; Shafri, Helmi Zulhaidi Mohd ; Hamedianfar, Alireza

Author_Institution

Dept. of Civil Eng., Univ. Putra Malaysia (UPM), Serdang, Malaysia

fYear

2014

fDate

13-14 Nov. 2014

Firstpage

229

Lastpage

233

Abstract

Although rule-based object-based classification can often perform better than the supervised approaches, its attribute selection is very time consuming and hardly transferable between different urban areas. The purpose of this study is to identify transferable rule-sets for different areas from QuickBird satellite imagery for urban areas consisting heterogeneous man-made and natural features. Object-based classification was used in this research, and a mathematical method was proposed for rule transferability for different urban areas.

Keywords

geophysical techniques; image classification; land cover; QuickBird satellite imagery; heterogeneous man-made feature; heterogeneous natural feature; mathematical method; rule-based object-based classification; supervised approach; time consuming attribute selection; transferable rule-set development; transferable rule-set identification; urban area rule transferability; Accuracy; Feature extraction; Image segmentation; Remote sensing; Roads; Satellites; Steel; object-based classification; rule-based classification; transferability; urban areas;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace Electronics and Remote Sensing Technology (ICARES), 2014 IEEE International Conference on

Conference_Location

Yogyakarta

Print_ISBN

978-1-4799-6187-0

Type

conf

DOI

10.1109/ICARES.2014.7024390

Filename

7024390