Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Adapting astronomical source detection software to help detect animals in thermal images obtained by unmanned aerial systems

Longmore, SN and Collins, RP and Pfeifer, S and Fox, SE and Mulero-P azm any, M and Bezombes, F and Goodwin, A and de Juan Ovelar, M and Knapen, JH and Wich, SA (2017) Adapting astronomical source detection software to help detect animals in thermal images obtained by unmanned aerial systems. International Journal of Remote Sensing, 38 (8-10). pp. 2623-2638. ISSN 0143-1161

[img] Text
IJRS_paper_v2.pdf - Accepted Version
Restricted to Repository staff only until 6 February 2018.

Download (5MB)

Abstract

In this paper we describe an unmanned aerial system equipped with a thermal-infrared camera and software pipeline that we have developed to monitor animal populations for conservation purposes. Taking a multi-disciplinary approach to tackle this problem, we use freely available astronomical source detection software and the associated expertise of astronomers, to efficiently and reliably detect humans and animals in aerial thermal-infrared footage. Combining this astronomical detection software with existing machine learning algorithms into a single, automated, end-to-end pipeline, we test the software using aerial video footage taken in a controlled, field-like environment. We demonstrate that the pipeline works reliably and describe how it can be used to estimate the completeness of different observational datasets to objects of a given type as a function of height, observing conditions etc. - a crucial step in converting video footage to scientifically useful information such as the spatial distribution and density of different animal species. Finally, having demonstrated the potential utility of the system, we describe the steps we are taking to adapt the system for work in the field, in particular systematic monitoring of endangered species at National Parks around the world.

Item Type: Article
Additional Information: This is the peer reviewed version of the following article: S. N. Longmore, R. P. Collins, S. Pfeifer, S. E. Fox, M. Mulero-Pázmány, F. Bezombes, A. Goodwin, M. De Juan Ovelar, J. H. Knapen, and S. A. Wich; Adapting astronomical source detection software to help detect animals in thermal images obtained by unmanned aerial systems. International Journal of Remote Sensing Vol. 38 , Iss. 8-10,2017 which has been published in final form at http://dx.doi.org/10.1080/01431161.2017.1280639. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving
Uncontrolled Keywords: 0406 Physical Geography And Environmental Geoscience, 0909 Geomatic Engineering
Subjects: Q Science > QB Astronomy
Q Science > QH Natural history
Divisions: Astrophysics Research Institute
Natural Sciences and Psychology
Publisher: Taylor & Francis
Date Deposited: 05 Jan 2017 12:01
Last Modified: 28 Apr 2017 11:49
DOI or Identification number: 10.1080/01431161.2017.1280639
URI: http://researchonline.ljmu.ac.uk/id/eprint/5173

Actions (login required)

View Item View Item