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Feature Point Correction and Image Merging for Enhanced Branch Detection in Vineyard Drone Photography

Authors:
YuJie Wu
Naoki Morita
Ashraf Naim Muhammad
Kenta Morita

Keywords: Aerial image stitching; Feature Point Correction; Agricultural Monitoring

Abstract:
This paper presents a new method for feature point correction and image merging in drone-based vineyard photography, aimed at improving branch detection accuracy. Addressing the issue of inaccurate feature point matching in traditional methods, we developed a technique that analyzes tangent angles between feature points, focusing on parallel alignment for precise merging. Our approach significantly enhances the accuracy of merged images, achieving about 90% precision compared to less than 10% in conventional methods. This advancement offers a promising solution for precise vineyard monitoring and management through aerial imagery.

Pages: 6 to 9

Copyright: Copyright (c) IARIA, 2024

Publication date: March 10, 2024

Published in: conference

ISSN: 2519-8432

ISBN: 978-1-68558-142-8

Location: Athens, Greece

Dates: from March 10, 2024 to March 14, 2024