Texture analysis and classification of ERS SAR images for map updating of urban areas in the netherlands

2003 ◽  
Vol 41 (9) ◽  
pp. 1950-1958 ◽  
Author(s):  
R.J. Dekker
Keyword(s):  
The Netherlands ◽  
Texture Analysis ◽  
Urban Areas ◽  
Sar Images ◽  
Map Updating

scholarly journals TARGETED SATELLITE IMAGE CLASSIFICATION FOR URBAN MAP UPDATING USING GEOSPATIAL INFORMATION SYSTEM PLATFORM

2015 ◽  
Vol XL-1-W5 ◽  
pp. 135-139
Author(s):  
M. Davoodianidaliki ◽  
A. Abedini
Keyword(s):  
Urban Areas ◽  
Supervised Classification ◽  
Satellite Image ◽  
Support Vector ◽  
Change Analysis ◽  
Geospatial Information ◽  
Map Updating ◽  
Misclassification Errors ◽  
Long Time

Traditional map production and updating methods which usually involve field surveying and/or photogrammetry, while established and used for a long time, are time consuming and costly. Whereas satellite imagery have provided great amounts of data with high resolutions suitable for different geospatial applications. This paper focuses on taking advantage of geospatial information systems for enabling automated supervised classification of satellite images in urban areas. Such ability is provided through some attributes that determine whether features in current map have changed or not. The overall process consists of three stages: i: Geo database upgrade for addition of some attributes; ii: Classification by Support Vector Machine (SVM) and iii: Change analysis. The proposed method is applied on a sample data of Worldview 3 image of Hormozgan, Iran. The obtained results show that using such method not only can automate supervised classification but also can decrease misclassification errors through local training. Also its independent of classification method provides the ability to deploy other classification methods.

Sign in / Sign up

Export Citation Format

Share Document