Evidence map›Paper›PMID 31013567›Full record

ArticleSensors (Basel, Switzerland)2019

A Robust Method for Automatic Panoramic UAV Image Mosaic.

Jun Chen, Quan Xu, Linbo Luo, Yongtao Wang, Shuchun Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jun ChenSchool of Automation, China University of Geosciences, Wuhan 430074, China. chenjun71983@163.com.ORCID 0000-0001-9005-6849
Quan XuSchool of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China. 1816312309@163.com.
Linbo LuoSchool of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China. luolb@ige-live.com.
Yongtao WangSchool of Automation, China University of Geosciences, Wuhan 430074, China. ytwang@cug.edu.cn.
Shuchun WangSchool of Automation, China University of Geosciences, Wuhan 430074, China. wangscgt@126.com.

Funding

111 project under Grant B17040Fundamental Research Funds for the Central Universities CUGL170221National Natural Science Foundation of China 61603354
6 · The paper itself

Abstract

This paper introduces a robust method for panoramic unmanned aerial vehicle (UAV) image mosaic. In the traditional automatic panoramic image stitching method (Autostitch), it assumes that the camera rotates about its optical centre and the group of transformations the source images may undergo is a special group of homographies. It is rare to get such ideal data in reality. In particular, remote sensing images obtained by UAV do not satisfy such an ideal situation, where the images may not be on a plane yet and even may suffer from nonrigid changes, leading to poor mosaic results. To overcome the above mentioned challenges, in this paper a nonrigid matching algorithm is introduced to the mosaic system to generate accurate feature matching on remote sensing images. We also propose a new strategy for bundle adjustment to make the mosaic system suitable for the UAV image panoramic mosaic effect. Experimental results show that our method outperforms the traditional method and some of the latest methods in terms of visual effect.

Indexed as

bundle adjustmentfeature matchingimage mosaicnonrigid deformation

Identifiers

PMID31013567
PMCPMC6515254

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.