Evaluation of various filter kernels for extraction of linear features from satellite imagery

Authors

  • Sudarshan Karki Survey Department, Nepal

DOI:

https://doi.org/10.3126/njg.v6i1.51225

Keywords:

Remote Sensing, Image enhancement, Filter kernel, Convolution filter, Zero-sum kernel, High-pass kernel

Abstract

Edge-enhancement filters, among others, are tools for image enhancements, which provide the user with more options for delineating linear features. The aim of this paper is to study various filter kernel combinations to ascertain their value and usability for extraction of linear features in particular. Twelve different filter kernels of 3x3 matrices were studied, which included six of zero-sum kernel type and six of high-pass filter type. Eleven filters showed satisfactory result for edge-enhancement. The use of filters for extraction of linear features from satellite imagery was found to be very suitable, and it shows that other filters may be defined according to the purpose of the user.

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Published

2007-05-28

How to Cite

Karki, S. (2007). Evaluation of various filter kernels for extraction of linear features from satellite imagery. Journal on Geoinformatics, Nepal, 6(1), 53–56. https://doi.org/10.3126/njg.v6i1.51225

Issue

Vol. 6 (2007)

Section

Articles

License

© Copyright reserved by Survey Department, Government of Nepal

This license enables re-users to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. If you remix, adapt, or build upon the material, you must license the modified material under the same or a compatible license.