Robust Feature Matching for Visual-based Aerial Navigation Using Registered Imagery

Author

Luis Montenegro

Date of Award

3-2023

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Electrical and Computer Engineering

First Advisor

David A. Woodburn, PhD

Abstract

This work leverages the SIFT detector along with known robust feature matching techniques for vision-aided sUAS navigation solutions. The proposed algorithm focuses on a sufficient number of features extracted, their quality and their distribution.

AFIT Designator

AFIT-ENG-MS-23-M-047

Comments

A 12-month embargo was observed.

Approved for public release: 88ABW-2023-0258

Recommended Citation

Montenegro, Luis, "Robust Feature Matching for Visual-based Aerial Navigation Using Registered Imagery" (2023). Theses and Dissertations. 6932.
https://scholar.afit.edu/etd/6932