Home // SIGNAL 2024, The Ninth International Conference on Advances in Signal, Image and Video Processing // View article
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