Comparative analysis of common edge detection techniques in context of object extraction
This work addresses the problem of object extraction for remote sensing applications, but it is incremental as it focuses on a comparative analysis of existing methods.
The paper compared various edge detection techniques for object extraction in remote sensing images from IRS sensors and Google Earth, but did not report specific numerical results or performance metrics.
Edges characterize boundaries and are therefore a problem of practical importance in remote sensing.In this paper a comparative study of various edge detection techniques and band wise analysis of these algorithms in the context of object extraction with regard to remote sensing satellite images from the Indian Remote Sensing Satellite (IRS) sensors LISS 3, LISS 4 and Cartosat1 as well as Google Earth is presented.