Comparative analysis of common edge detection techniques in context of object extraction

TL;DR

This paper compares various edge detection techniques applied to remote sensing satellite images for object extraction, analyzing their effectiveness across different sensors and providing insights into their practical applications.

Contribution

It offers a comprehensive comparative analysis of edge detection algorithms specifically tailored for remote sensing image object extraction, including band-wise performance evaluation.

Findings

Certain edge detection techniques outperform others in specific sensor contexts.

Band-wise analysis reveals optimal spectral bands for edge detection.

The study guides selection of edge detection methods for remote sensing applications.

Abstract

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.