• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.3
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• pp.252-262
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• 2020

In Remote Sensing, a machine learning based SVM model is typically utilized for land cover classification. And study using neural network models is also being carried out continuously. But study using high-resolution imagery of KOMPSAT is insufficient. Therefore, the purpose of this study is to assess the accuracy of land cover classification by neural network models using high-resolution KOMPSAT-3 satellite imagery. After acquiring satellite imagery of coastal areas near Gyeongju City, training data were produced. And land cover was classified with the SVM, ANN and DNN models for the three items of water, vegetation and land. Then, the accuracy of the classification results was quantitatively assessed through error matrix: the result using DNN model showed the best with 92.0% accuracy. It is necessary to supplement the training data through future multi-temporal satellite imagery, and to carry out classifications for various items.

• Journal of Korean Academy of Nursing
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• v.36 no.6
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• pp.976-982
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• 2006

Purpose: The purpose of this study was to compare the feeling state guided imagery(FSGI) and end state guided imagery(ESGI) on stress and performance of an intramuscular injection of nursing students. Method: The design was a time series with a nonequivalent control group pretest-posttest study. Data was collected from the 23 rd to the 25th of Nov. 2004. The subjects of this study were 40 female sophomores (21 for the ESGI, 19 for the FSGI). The instruments used in this study were the Visual Analogue Scale for Stress and the Nursing Skill Performance Check-list on Intramuscular Injection developed by the researchers(10 items). Guided imagery was provided through audiotapes for 8 minutes. A pretest was given before applying the guided imagery, posttest 1 was performed after the intervention, posttest 2 was performed before the intramuscular injection and then evaluation of the performance of the intramuscular injection was done. Data was analyzed using t-test, and Repeated Measures ANOVA. Result: The level of stress for those who received the ESGI and FEGI was not significant and the level of the nursing skill performance for those who received the ESGI was significantly higher than that of students who received the FEGI. Conclusion: The use of ESGI has an effect on learning psychomotor nursing skills and further research is needed on stress.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.1
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• pp.23-30
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• 2015

A shoreline mapping is essential for describing coastal areas, estimating coastal erosions and managing coastal properties. This study has planned to map the 3D shorelines with the airborne LiDAR(Light Detection and Ranging) data and the KOMPSAT-2 imagery, acquired in Uljin, Korea. Following to the study, the DSM(Digital Surface Model) is generated firstly with the given LiDAR data, while the NDWI(Normalized Difference Water Index) imagery is generated by the given KOMPSAT-2 imagery. The classification method is employed to generate water and land clusters from the NDWI imagery, as the 2D shorelines are selected from the boundaries between the two clusters. Lastly, the 3D shorelines are constructed by adding the elevation information obtained from the DSM into the generated 2D shorelines. As a result, the constructed 3D shorelines have had 0.90m horizontal accuracy and 0.10m vertical accuracy. This statistical results could be concluded in that the generated 3D shorelines shows the relatively high accuracy on classified water and land surfaces, but relatively low accuracies on unclassified water and land surfaces.

• Korean Journal of Remote Sensing
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• v.30 no.6
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• pp.709-717
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• 2014

The objective of this study is to analyze the degree of correspondences among corners found in building facade imagery when the projective transformation parameters are applied to. Additionally, an appropriate corner detection operator is determined through experiments. Modeling of the shape of a building has been studied in numerous approaches using various type of data such as aerial imagery, aerial lidar scanner imagery, terrestrial imagery, and terrestrial lidar imagery. This study compared the Harris operator with FAST operator and found that the Harris operator is superior in extracting major corner points. After extracting corners using the Harris operator and assessing the degree of correspondence among corners in difference images, real corresponding corners were found to be located in the closest distance. The experiment of the projective transformation with varying corners shows that more corner control points with a good distribution enhances the accuracy of the correspondences.

• Journal of Music and Human Behavior
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• v.7 no.1
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• pp.17-36
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• 2010

The purpose of this study is to investigate the effects of imagery-centered music listening on the physiological and psychological relaxation of women with high-risk pregnancy. A total sample of 15 subjects participated in 11 sessions. The research data was collected only in the first session for each subject. In this experimental study, physiological and psychological relaxation were evaluated by peripheral temperatures and the Visual Analog Scale (VAS), respectively. For the music listening program for imagery experience, 27 pieces of relaxing music were selected and the modified MI technique was used. After interventions, the results showed that peripheral temperatures increased and the VAS scores decreased. Imagery exercises with music listening offered a positive experience to elicit physiological and psychological relaxation in subjects. In conclusion, imagery-centered music listening is an effective modality to facilitate relaxation, stability, and support for women with high-risk pregnancy.

• Korean Journal of Remote Sensing
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• v.27 no.1
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• pp.1-7
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• 2011

Satellite imagery information have not been fully utilized due to the low R&D investment in remote sensing application though Korea had succeeded in developing series of earth observing satellites during the last decades. However, another series of earth observing satellites such as KOMPSAT 3, 3-A, 5 are going to be launched in the near future. And recent global warming issues stimulate both private and public sectors to make the most of satellite imagery information. Therefore, it is inevitable to promote the utilization of Korean satellite imagery information. In this study, we analyzed the demand and restrictions in exploitation of satellite imagery information in Korea through the online survey and interview. The results showed that the standardization of pre-processing, service of detailed technical information, fast and reliable image data delivery system are mostly required.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.9 no.2
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• pp.49-56
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• 1991

In this study, 3D positioning of CCT digital imagery was done by using a personal computer image processing method to increase the economic and time efficiency of SPOT satellite imagery. Image matching technique which applies statistical theories, was applied to acqusition of satellite imagery. The reliability of these coordinates was anlysed to presente a new algorithm for three dimensional positioning necessary in digital elevation modelling and orthophoto production. In acquiring image coordinates from CCT digital satellite imagery, accuracy of planimetric and height coordinates was improved by applying the image matching technique and it was found through analysis of correlation factors between sizes of target window that 19$\times$19 pixels was the most suitable size for image coordinate acquisition. From these results, it was able to present an algorithm about utility of digital imagery in the analysis of SPOT satellite data.

• Journal of Korean Society for Geospatial Information Science
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• v.14 no.3 s.37
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• pp.3-11
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• 2006

The need for edge detection about topography data from the high resolution satellite imagery is happening with increasing frequency according to many people utilize the its imagery as various fields recently. Many experts is recognizing of other GIS will make use of the road detection from the high resolution satellite imagery, including ITS (Intelligent Transportation Systems) and urban planning. This paper is comparative analysis of LPF (Low Pass Filtering) and HPF (High Pass Filtering) for roads edge detection from high resolution satellite imagery. As a result, LPF and HPF can be highlight selective pixels at edge area about input data. In case or applying to other techniques such as LPF for the same purpose, they aye more effective for wide road width which often cause the slight distortion of boundary or overall change of brightness values on the whole Image. Whereas, HPF has ability to enhance selectively detailed components in a target image.

• Journal of the Korean Home Economics Association
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• v.47 no.5
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• pp.23-34
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• 2009

The purpose of this study was to e${\times}$amine the effect of visual imagery stimulated by product information on consumer responses in online shopping conte${\times}$ts. Dual coding theory provided the theoretical framework of the study. The proposed model of the study was e${\times}$amined by conducting an e${\times}$periment using mock apparel websites with a between-subject factorial design: [2 (pictorial information: detailed views vs. no detailed views) ${\times}$ 2 (verbal information: detailed descriptions vs. abstract descriptions)]. A total of 439 female college students participated in the e${\times}$periment, and 433 responses were ultimately used to test the hypotheses. The findings from the results revealed: (1) the main effects of the pictorial and verbal information on visual imagery, and (2) positive relationships between (a) visual imagery and mood, (b) visual imagery and perceived product quality, (c) mood and perceived product quality, and (d) perceived quality and purchase intentions.

• Journal of Broadcast Engineering
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• v.13 no.2
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• pp.236-244
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• 2008

We propose a new building detection and description algorithm for Lidar data and photogrammetric imagery using color segmentation, line segments matching, perceptual grouping. Our algorithm consists of two steps. In the first step, from the initial building regions extracted from Lidar data and the color segmentation results from the photogrammetric imagery, we extract coarse building boundaries based on the Lidar results with split and merge technique from aerial imagery. In the secondstep, we extract precise building boundaries based on coarse building boundaries and edges from aerial imagery using line segments matching and perceptual grouping. The contribution of this algorithm is that color information in photogrammetric imagery is used to complement collapsed building boundaries obtained by Lidar. Moreover, linearity of the edges and construction of closed roof form are used to reflect the characteristic of man-made object. Experimental results on multisensor data demonstrate that the proposed algorithm produces more accurate and reliable results than Lidar sensor.