Technology based training for radar image interpreters

Roller, Wolfgang; Berger, Anton; Szentes, Daniel

doi:10.1109/rast.2013.6581181

Cited by 7 publications

(4 citation statements)

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“…However, peculiar eects of the radar imaging technology (e.g., compression of distances by the foreshortening eect, or ghosting artifacts for moving objects) make it hard for non-experts to interpret the resulting image data, hence expert knowledge and experience is needed and people have to be trained [75]. Educa- Lost Earth 2307 (gure 8) is a 4X strategy game (4X as in eXplore, eXpand, eXploit, and eXterminate) for training purposes.…”

Section: Application Examplesmentioning

confidence: 99%

Personalized and Adaptive Serious Games

Streicher

Smeddinck

2016

Lecture Notes in Computer Science

108

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Personalization and adaptivity can promote motivated usage, increased user acceptance, and user identication in serious games. This applies to heterogeneous user groups in particular, since they can benet from customized experiences that respond to the individual traits of the players. In the context of games, adaptivity describes the automatic adaptation of game elements, i.e., of content, user interfaces, game mechanics, game diculty, etc., to customize or personalize the interactive experience. Adaptation processes follow an adaptive cycle, changing a deployed system to the needs of its users. They can work with various techniques ranging from simple threshold-based parameter adjustment heuristics to complex evolving user models that are continuously updated over time. This chapter provides readers with an understanding of the motivation behind using adaptive techniques in serious games and presents the core challenges around designing and implementing such systems. Examples of how adaptability and adaptivity may be put into practice in specic application scenarios, such as motion-based games for health, or personalized learning games, are presented to illustrate approaches to the aforementioned challenges. We close with a discussion of the major open questions and avenues for future work.

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Section: Application Examplesmentioning

confidence: 99%

Personalized and Adaptive Serious Games

Streicher

Smeddinck

2016

Lecture Notes in Computer Science

108

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“…Among the enhancement techniques, the histogram technique is considered valid because of their inherent properties to adapt to the situations and applications in hand. This technique is widely used in daily photo enhancement, medical image analysis, remote-sensing imagery, microscopic imaging [9], and many other areas [10][11][12][13][14]. Histogram equalization (HE) [15] is most extensively utilized for contrast enhancement.…”

Section: Overview Of Image Processingmentioning

confidence: 99%

Histogram Equalized Thresholding method for analysis of Diabetic Myonecrosis related images

Shaik¹,

Bommagani²

2021

helix

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Diabetes Mellitus has become a common disorder in all groups of people throughout the world in the current days, mainly because of sedentary lifestyles and abnormal eating habits. Moreover, it has become a threat as well as a challenge to the researchers in the scientific society to find a solution to control this problem. Even though there is no proven cure for this disorder, one can lead a normal life with knowledge and awareness of issues related to diabetes. The main issue of concern for people with diabetes is its related complications, especially Myonecrosis. Diabetic myonecrosis is a rare complication of diabetes mellitus that has been poorly addressed. The disease presents itself in a human as lower extremity acute non-traumatic swelling and pain that can imitate deep vein thrombosis (DVT). Usually, the medical condition is self-limiting, and patients react well to therapeutic treatment that supports them. Together with other microvascular complications such as retinopathy, nephropathy, or neuropathy, it often develops into further complications. These complications are more common among Type I diabetics but can also arise in patients with Type II diabetes. Current image processing methodologies hold a significant position in removing specific challenges related to medical imaging technologies. The research work dealt with in this paper is about the processing of images related to Diabetic Myonecrosis, and the outcome results are used for analysis of the problem in various conditions of DM patient with Myonecrosis. Threshold segmentation methods are used to extract the features, and several attributes have been derived for statistical comparison in this work. The tools used for investigation in this work are MATLAB Technical computing language for simulation results and MIPAV for deriving statistical parameters.

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“…The interpretation of aerial and satellite images poses a wide range of challenges because of different imagery sensor types, difficult image material or unknown objects. Professional image interpretation is done in various fields, ranging from the microscopic level in medicine, e.g., diagnostics in histopathology, to the macroscopic level of aerial or satellite images, e.g., civilian applications like search-and-rescue, agriculture, oceanography, or military intelligence acquisition (Roller et al, 2013). Image interpretation requires the detection, recognition, identification and analysis of structures and objects, according to a given task based on optical, infrared and radar imagery.…”

Section: Introductionmentioning

confidence: 99%

View: A Concept for an Immersive Virtual Reality Image Interpretation Workbench

Streicher¹,

Hoffmann²,

Roller³

2019

Proceedings of the International Conferences Big Data Analytics, Data Mining and Computational Intelligence 2019; And Theory An

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Virtual Reality (VR) and serious gaming can increase the learning motivation and outcome in image interpretation. This paper presents the concept of an VR game-like assistance system called Virtual Reality Image Exploitation Workspace (VIEW). It can be used to evaluate the learning-supporting immersion or presence level of image interpreters while solving typical interpretation tasks. The problem statement is centered on the realization aspects of a VR assistance system for image interpretation which provides a high level of immersion. This work combines the setting of a real serious game for formal image interpretation training with virtual reality to increase the immersion level of the users. Enhanced image quality and organizational requirements from professional image interpretation impose additional complexity on VR for image interpretation. The presented VIEW concept deals with multiple aspects in respect to e-learning, professional training and virtual reality for image interpretation. Preliminary evaluation results from a realized prototype show the feasibility and user acceptance of the VIEW concept.

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Technology based training for radar image interpreters

Cited by 7 publications

References 0 publications

Personalized and Adaptive Serious Games

Personalized and Adaptive Serious Games

Histogram Equalized Thresholding method for analysis of Diabetic Myonecrosis related images

View: A Concept for an Immersive Virtual Reality Image Interpretation Workbench

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