Comparative Analysis of BRISK and ORB Methods for Local Feature Detection in Satellite Imagery
DOI:
https://doi.org/10.18372/1990-5548.83.19879Keywords:
сomputer vision, binary local feature detection, BRISK, ORB, satellite imagery, object recognition, image matchingAbstract
Binary local feature detection, which is very important for the satellite image processing of object recognition and image matching, was studied in this paper. In this examination, the BRISK and ORB methods, now used extensively for detecting features for the satellite image processing purpose, have been evaluated. The objective of this paper is investigation of the methods in respect of their ability to detect keypoints and their robustness against transformation and identify their strengths and weaknesses. As an example, an experimental comparison is put forward in the MATLAB environment for images from Vatican City and one of its buildings. This evaluation will help researchers in choosing the most appropriate method depending on their applications.
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