Real-time and automatic map stitching through aerial images from UAV

Author:

Goh J N,Phang S K,Chew W J

Abstract

Abstract Real-time aerial map stitching through aerial images had been done through many different methods. One of the popular methods was a features-based algorithm to detect features and to match the features of two and more images to produce a map. There are several feature-based methods such as ORB, SIFT, SURF, KAZE, AKAZE and BRISK. These methods detect features and compute homography matrix from matched features to stitch images. The aim for this project is to further optimize the existing image stitching algorithm such that it will be possible to run in real-time as the UAV capture images while airborne. First, we propose to use a matrix multiplication method to replace a singular value decomposition method in the RANSAC algorithm. Next, we propose to change the workflow to detect the image features to increase the map stitching rate. The proposed algorithm was implemented and tested with an online aerial image dataset which contain 100 images with the resolution of 640 × 480. We have successfully achieved the result of 1.45 Hz update rate compared to original image stitching algorithm that runs at 0.69 Hz. The improvement shown in our proposed improved algorithm are more than two folds in terms of computational resources. The method introduced in this paper was successful speed up the process time for the program to process map stitching.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. High Resolution Low Altitude 2D Map Reconstruction Using UAV;2023 Innovations in Power and Advanced Computing Technologies (i-PACT);2023-12-08

2. A Real-Time Registration Algorithm of UAV Aerial Images Based on Feature Matching;Journal of Imaging;2023-03-11

3. True orthophoto mosaic generation: a simple and fast method;Journal of Geomatics Science and Technology;2023-03-01

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