Abstract: This article proposes a deep-learning-based solution for multimodal image alignment regarding unmanned aerial vehicle (UAV)-taken images. Many recently proposed state-of-the-art alignment techniques rely on using Lucas–Kanade (LK)-based solutions for a …

Firstly, we implement the coarse UAV image geo-localization by utilizing the UAV's position parameters. Then, a deep learning algorithm multi-stage Lucas-Kanade (MS-LK) is proposed to refine the UAV image geo-localization results iteratively. MS-LK can make full use of the UAV images' global texture.

2024年6月19日 · In this article, we present a large-scale benchmark for the dual-modality image alignment task in UAVs, including 81000 training image pairs and 15000 testing image pairs. Meanwhile, we propose a trans for mer - based dual - modality image alignment network as the baseline for this benchmark.

2024年8月25日 · In brief, this method combines an enhanced version of the Lucas-Kanade (LK) optical flow algorithm for high-frequency position estimation with SIFT feature matching. The LK algorithm is used to estimate the movement between consecutive frames, but it drifts over time, especially in long sequences.

Robust Visual-Inertial Localization with Weak GPS Priors for Repetitive UAV Flights

Welcome to the website for Loughborough University Centre for Autonomous System (LUCAS), based at Loughborough University. LUCAS is a specialised research group, focusing on research in aerospace control.

A novel deep learning method to identify single tree species in UAV-based hyperspectral images

2021年5月7日 · Unmanned aerial vehicle (UAV)-based multispectral remote sensing has shown great potential for precision agriculture. However, there are many problems in data acquisition, processing and ...

Coarse-to-fine UAV image geo-localization using lucas-Kanade algorithm. From coarse to fine UAV image geo-localization framework. ... this paper, to achieve accurate UAV image geolocalization, we...