Comparative Study of Soft Computing Based High-Resolution Satellite Image Segmentation in Additive and User-Oriented Color Space

Author(s):  
P. Ganesan ◽  
L. M. I. Leo Joseph ◽  
V. Kalist ◽  
B. Girirajan
2009 ◽  
Vol 118 (5) ◽  
pp. 609-617 ◽  
Author(s):  
Debasish Chakraborty ◽  
Gautam Kumar Sen ◽  
Sugata Hazra

Author(s):  
Aleš Tippner

Image segmentation is fundamental prerequisite for new satellite images interpretation methods. GIS GRASS provides segmentation tools enabling global image segmentation only. We designed procedure enabling local segmentation using existing GRASS tools and segmentation algorithm based on region growing that we developed with C++. This algorithm applies mathematical morphology operators to output segments, too. Principial aim of the project is creation of useful input for differentiation of base land cover classes in panchromatic high-resolution satellite image (or historical aerial photographs for example).


Author(s):  
Aymen Al-Saadi ◽  
Ioannis Paraskevakos ◽  
Bento Collares Gonçalves ◽  
Heather J. Lynch ◽  
Shantenu Jha ◽  
...  

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