UAV and the comparison of image processing software

2017 ◽  
Vol 5 (1) ◽  
pp. 18-27 ◽  
Author(s):  
Dimitris Kaimaris ◽  
Petros Patias ◽  
Maria Sifnaiou

Purpose The purpose of this paper is to discuss unmanned aerial vehicle (UAV) and the comparison of image processing software. Design/methodology/approach Images from a drone are used and processed with new digital image processing software, Imagine UAV® of Erdas imagine 2015®. The products (Digital Surface Model and ortho images) are validated with check points (CPs) measured in the field with Global Positioning System. Moreover, similar products are produced by Agisoft PhotoScan® software and are compared with both the products of Imagine UAV and the CPs. Findings The results reveal that the two software tools are almost equivalent, while the accuracies of their products are similar to the accuracies of the external orientations of drone images. Originality/value Comparison of image processing software.

2014 ◽  
Vol 27 (1) ◽  
pp. 2-20 ◽  
Author(s):  
Roba Abbas ◽  
Katina Michael ◽  
MG Michael

Purpose – The purpose of this paper is to comprehensively review existing literature regarding the ethical dilemmas posed by location-based services (LBS) and their impact upon the adoption of a regulatory framework. Design/methodology/approach – This paper employs a qualitative approach for reviewing LBS scholarship, in which existing knowledge is presented in narrative form and is critiqued thematically. Findings – In reviewing contemporary scholarship, the value of technical, social and environmental considerations is demonstrated. This encourages an understanding of the complexities, multiple interests and contextual factors that must be incorporated into the examination of LBS regulation in any social context. Practical implications – Approximately 85 per cent of handsets now have a global positioning system chipset on board. LBS affect a great number of mobile users. This research will create awareness among users of the potential benefits and harms that can come from the (mis)use of the technology. It will also promote an awareness of the complexities surrounding LBS regulation, drawing attention to the importance of collaboration and involvement of LBS stakeholders in the regulatory process. Originality/value – Defines the ethical dilemmas of LBS that influence regulatory choices through a review of applicable literature and proposes that future research simultaneously address technical, social and environmental factors relevant to LBS.


2000 ◽  
Vol 179 ◽  
pp. 229-232
Author(s):  
Anita Joshi ◽  
Wahab Uddin

AbstractIn this paper we present complete two-dimensional measurements of the observed brightness of the 9th November 1990Hαflare, using a PDS microdensitometer scanner and image processing software MIDAS. The resulting isophotal contour maps, were used to describe morphological-cum-temporal behaviour of the flare and also the kernels of the flare. Correlation of theHαflare with SXR and MW radiations were also studied.


2010 ◽  
Vol 2010 ◽  
pp. 1-7 ◽  
Author(s):  
Jun Wu ◽  
Zachary R. Donly ◽  
Kevin J. Donly ◽  
Steven Hackmyer

Quantitative Light-Induced fluorescence (QLF) has been widely used to detect tooth demineralization indicated by fluorescence loss with respect to surrounding sound enamel. The correlation between fluorescence loss and demineralization depth is not fully understood. The purpose of this project was to study this correlation to estimate demineralization depth. Extracted teeth were collected. Artificial caries-like lesions were created and imaged with QLF. Novel image processing software was developed to measure the largest percent of fluorescence loss in the region of interest. All teeth were then sectioned and imaged by polarized light microscopy. The largest depth of demineralization was measured by NIH ImageJ software. The statistical linear regression method was applied to analyze these data. The linear regression model wasY=0.32X+0.17, whereXwas the percent loss of fluorescence andYwas the depth of demineralization. The correlation coefficient was 0.9696. The two-tailed t-test for coefficient was 7.93, indicating theP-value=.0014. TheFtest for the entire model was 62.86, which shows theP-value=.0013. The results indicated statistically significant linear correlation between the percent loss of fluorescence and depth of the enamel demineralization.


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