scholarly journals Multisite Image Data Collection and Management Using the RSNA Image Sharing Network

2014 ◽  
Vol 7 (1) ◽  
pp. 36-39 ◽  
Author(s):  
Bradley J. Erickson ◽  
Patricio Fajnwaks ◽  
Steve G. Langer ◽  
John Perry
Keyword(s):  
Data Collection ◽  
Image Data ◽  
Image Sharing ◽  
Collection And Management

scholarly journals Remote measurement methods for 3-D modeling purposes using BAE Systems’ Software

2015 ◽  
Vol 64 (1) ◽  
pp. 113-124 ◽  
Author(s):  
Stewart Walker ◽  
Arleta Pietrzak
Keyword(s):  
Feature Extraction ◽  
Data Collection ◽  
Image Data ◽  
Data Sources ◽  
Remote Measurement ◽  
Software Packages ◽  
Systems Software ◽  
Digital Elevation ◽  
Sensor Models ◽  
Elevation Model

Abstract Efficient, accurate data collection from imagery is the key to an economical generation of useful geospatial products. Incremental developments of traditional geospatial data collection and the arrival of new image data sources cause new software packages to be created and existing ones to be adjusted to enable such data to be processed. In the past, BAE Systems’ digital photogrammetric workstation, SOCET SET®, met fin de siècle expectations in data processing and feature extraction. Its successor, SOCET GXP®, addresses today’s photogrammetric requirements and new data sources. SOCET GXP is an advanced workstation for mapping and photogrammetric tasks, with automated functionality for triangulation, Digital Elevation Model (DEM) extraction, orthorectification and mosaicking, feature extraction and creation of 3-D models with texturing. BAE Systems continues to add sensor models to accommodate new image sources, in response to customer demand. New capabilities added in the latest version of SOCET GXP facilitate modeling, visualization and analysis of 3-D features.

A Multi-Modality Image Data Collection Protocol for Full Body Finite Element Model Development

2009 ◽  
Author(s):  
F. Scott Gayzik ◽  
Craig A. Hamilton ◽  
Josh C. Tan ◽  
Craig McNally ◽  
Stefan M. Duma ◽  
...  
Keyword(s):  
Finite Element ◽  
Data Collection ◽  
Finite Element Model ◽  
Model Development ◽  
Image Data ◽  
Element Model ◽  
Full Body

Multi-source and multi-angle remote sensing image data collection, application and sharing of Beichuan National Earthquake Ruins Museum

2015 ◽  
Author(s):  
Yueguan Lin ◽  
Wei Wang ◽  
Qi Wen ◽  
He Huang ◽  
Jingli Lin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Data Collection ◽  
Image Data ◽  
Remote Sensing Image

Crowdsourcing and Its Application to Transportation Data Collection and Management

2014 ◽  
Vol 2414 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Aditi Misra ◽  
Aaron Gooze ◽  
Kari Watkins ◽  
Mariam Asad ◽  
Christopher A. Le Dantec
Keyword(s):  
Data Collection ◽  
Collection And Management

Ethical Issues in Qualitative Data Collection and Management

2019 ◽  
pp. 697-713
Author(s):  
Cees Th Smit Sibinga
Keyword(s):  
Qualitative Research ◽  
Data Collection ◽  
Personal Experience ◽  
Qualitative Data ◽  
Ethical Issues ◽  
External Influence ◽  
Collection And Management ◽  
Fair Chance ◽  
Qualitative Data Collection ◽  
The Way

Qualitative data collection is largely defined by the personal experience and opinions of the examinee. The examinee is central in the approach, and not so much the researcher. The essence is a communication between the researcher and the examinee, where interpretation of both the questions asked and the answers provided serves the purpose of understanding. This type of research is interpretative and almost exclusively subjective, because the personal or subjective way of understanding and interpretation is central. However, there is certainly a serious possibility for external influence on the answers to be provided or even the way answers are interpreted. Additionally, there is a fair chance that the questions are phrased towards expected answers. There are various moments where ethics are paramount to the quality and acceptability of the research. To protect objectivity, ethical professionalism and professional morale are important. This chapter aims to describe and discuss ethical issues related to collection and management of data from qualitative research.

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