• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.25 no.4
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• pp.347-354
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• 2007

Since large portal service providers started web services for 3D city models around the world using spatial imagery, the competition has been getting intense to provide the models with the higher quality and accuracy. The building models are the most in number among the 3D city model objects, and it takes much time and money to create realistic model due to various shapes and visual appearances of building object. The aforementioned problem is the most significant limitation for the service and the update of the 3D city model of the large area. This study proposed a method of generating realistic 3D building models with quick and economical texture mapping using multiple spatial imagery such as aerial photos or satellite images after reconstructed geometric models of buildings from building layers in digital maps. Based on the experimental results, the suggested method has effectiveness for the generation of the 3D building models using various air-borne imagery and satellite imagery quickly and economically.

• Journal of Space Technology and Applications
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• v.1 no.2
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• pp.268-281
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• 2021

Recently, the synthetic aperture radar (SAR) has been increasingly in demand due to its advantage of being able to observe desired points regardless of time and weather. To utilize SAR data, first of all, many pre-processing such as satellite orbit correction, radiometric calibration, multi-looking, and geocoding are required. For analysis of SAR imagery such as object detection, change detection, and DEM(Digital Elevation Model), additional processings are needed. These pre-processing and additional processes are very complex and require a lot of time and computational resources. In order to handle the SAR images easily, the institutions that use SAR images develop analysis tools and provide users. This paper introduces the function and characteristics of representative SAR imagery analysis tools.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.1D
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• pp.211-217
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• 2006

Growing urban areas modify patterns of local land use and land cover. Land use changes associated with urban expansion. One way to understand and document land use change and urbanization is to establish benchmark maps compiled from satellite imagery. Old satellite Imagery is useful data to extract urban information. CORONA is a photo satellite reconnaissance program used from 1960 to 1972 and its imagery was declassified and has been available to the public since 1995. Since CORONA images are collected with panoramic cameras, several types of geometric distortions are involved. In this study we proposed mathematical modeling method which use modified collinearity equations. After the geometric modeling, we mosaicked images. We can successfully extract urban boundaries using GLCM method and visual interpretation in CORONA (1972) and SPOT (1995) imagery and detect urban changes in Seoul quantitatively.

• Journal of Digital Convergence
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• v.11 no.8
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• pp.235-242
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• 2013

This study aimed to evaluate the effectiveness of imagery training on upper limb function and activities of daily living in subacute stroke patients. This study included 16 voluntary participants with subacute stroke. Subjects were randomly assigned to either experimental or control group, with 8 in each group. Imagery training group performed imagery training during 30 minutes and then task-oriented training 30 minutes a day, 5 times a week for 4 weeks. Control group performed task-oriented training during 30 minutes during a day, 5 times a week for 4 weeks. Assessments were made using the Wolf Motor Function Test (WMFT) and Fugl-Meyer motor function assessment (FMA) to evaluate the changes of upper function. And modified Barthel Index (MBI) was measured to evaluate the activities of daily living. The results showed that imagery training group was more significant increase than control group in WMFT, FMA, and MBI (p<.05). Small to huge effect sizes of 1.59, 2.02, 0.37 were observed for WMFT, FMA, and MBI, respectively. This study indicated that imagery training may be helpful in improving the upper limb function and activities of daily living for subacute stroke patients, and support the clinical feasibility of the imagery training.

• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.465-474
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• 2009

To measure the amount of nonpoint source pollution, some efforts are tried to utilize satellite imagery. But, as the factors for water models do not relate with the landcover categories for satellite imagery, satellite imagery are adapted to roughly classified thematic map or used only for the image interpretation. The purpose of this study is to establish the landcover categories of satellite imagery to relate with the water models. To establish the categories of the landcover for the water models, it was investigated to get main factors of water flow models for the nonpoint source pollution and to review the existing study and the classification system. For this result, it was convinced that the basic unit on the nonpoint source pollution, landcover coefficients of SCS Curve Number, the crop factor of Universal Soil Loss Equation, Manning's roughness coefficients are the useful parameters to extract information from the satellite imagery. After the setup the categories for the landcover classification, it was finally defined from the consultation of the water model specialist. Woopo wetland watershed was selected to the study area because it is a representative wetland in Korea and needs the management system for nonpoint source pollution. There were used Landsat ETM Plus and SPOT-5 satellite imagery to assess the result of the image classification.

• Journal of Music and Human Behavior
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• v.9 no.2
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• pp.35-52
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• 2012

The purpose of the study was to prospect for mutual maturity between therapist-client in Music and Imagery music therapy session from therapists' points of view. Qualitative data has been collected by in-depth interview of therapist-client mutual maturity process, then analysed with grounded theories. The questions of the study were to ask process of mutual maturity experienced by music and imagery therapist and meaning of the experience itself. Therapists ware to answer the moment of mutual maturity, realization and meaning of mutual maturity process through semi-structured in-depth interview. The four therapists who participated in the interview are certified MIT(Music & Imagery Therapist) by Lisa Summer and currently in training GIM. From the in-depth interview, 81 concepts have been collected and have been divided into 20 categories in open coding, then rearranged into 9 categories in axis coding. To explain music and imagery therapists' maturity process through grounded theory paradigm, as a result, the main phenomenon of experience was 'to deal with counter-transference'. When dealing their counter-transference, therapists experienced their maturity process. Supervision and musical/non-musical self-reflection are also used for interactive intervention medium. So, maturity of therapists leads to knowing and accepting herself and mature therapists are able to help clients mature.

• Journal of Music and Human Behavior
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• v.11 no.1
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• pp.39-62
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• 2014

The purpose of this research was to review the music choices of GIM therapists in GIM. Seven databases and nine music therapy journals were searched with keywords such as "Guided Imagery and Music", "GIM", "Helen Bonny", "Bonny method", "Music and Imagery" and "BMGIM" between 1964 to 2013. Every abstract was confirmed to see whether it meets this research topic. 12 of 126 articles that described the reasons for music choices were selected. It is the result of narrative literature review that GIM therapists chose music to match clients' qualities of moods, emotions, feelings related with issues and clients' themes in therapy. In 5 articles among the 12 articles, authors chose music with considering music elements analytically to match clients' states. Reasonable explanations for music choice were reviewed in these 5 articles. There were limitations to obtain common facts between articles because most of 126 articles were case studies which described from therapists's point of view in a qualitative way. A more fundamental research is required to obtain rationales of music choices in GIM as a music-centered music psychotherapy for the further research.

• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.2
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• pp.135-148
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• 2015

This research is carried out for the land cover change detection in the Nakdong River basin before and after the 4 major rivers restoration project using the LiDAR DEM(Digital Elevation Model) and the multi-temporal Landsat imagery. Firstly the river basin polygon is generated by using the levee boundaries extracted from the LiDAR DEM, and the four river basin imagery are generated from the multi-temporal Landsat-5 TM(Thematic Mapper) and Landsat-8 OLI(Operational Land Imager) imagery by using the generated river basin polygon. Then the main land covers such as river, grass and bare soil are separately generated from the generated river basin imagery by using the image classification method, and the ratio of each land cover in the entire area is calculated. The calculated land cover changes show that the areas of grass and bare soil in the entire area have been significantly changed because of the seasonal change, while the area of the river has been significantly increased because of the increase of the water storage. This paper contributes to proposing an efficient methodology for the land cover change detection in the Nakdong River basin using the LiDAR DEM and the multi-temporal satellite imagery taken before and after the 4 major rivers restoration project.

• Korean Journal of Remote Sensing
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• v.36 no.2_1
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• pp.199-215
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• 2020

A seagrass that is marine vascular plants plays an important role in the marine ecosystem, so periodic monitoring ofseagrass habitatsis being performed. Recently, the use of dronesthat can easily acquire very high-resolution imagery is increasing to efficiently monitor seagrass habitats. And deep learning based on a convolutional neural network has shown excellent performance in semantic segmentation. So, studies applied to deep learning models have been actively conducted in remote sensing. However, the segmentation accuracy was different due to the hyperparameter, various deep learning models and imagery. And the normalization of the image and the tile and batch size are also not standardized. So,seagrass habitats were segmented from drone-borne imagery using a deep learning that shows excellent performance in this study. And it compared and analyzed the results focused on normalization and tile size. For comparison of the results according to the normalization, tile and batch size, a grayscale image and grayscale imagery converted to Z-score and Min-Max normalization methods were used. And the tile size isincreased at a specific interval while the batch size is allowed the memory size to be used as much as possible. As a result, IoU was 0.26 ~ 0.4 higher than that of Z-score normalized imagery than other imagery. Also, it wasfound that the difference to 0.09 depending on the tile and batch size. The results were different according to the normalization, tile and batch. Therefore, this experiment found that these factors should have a suitable decision process.

• Korean Journal of Biological Psychiatry
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• v.7 no.2
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• pp.174-179
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• 2000

Objectives : Cognitive psychological models propose that auditory hallucinations arise from a problem with monitoring one's auditory verbal imagery. Most auditory hallucinations are derogatory in content and accompany negative emotions. If auditory verbal imagery plays an critical role in the pathogenesis of auditory hallucination, it must be influenced by negative emotions. This study was aimed at understanding the influence of negative emotions on the development of hallucinations by investigating the way by which negative emotions have influence on cortical activity induced by auditory verbal imagery. Methods : For both normal subjects and patients with schizophrenia, quantitative electroencephalography(Q-EEG) was applied during the auditory verbal imagery tasks using a two word list. The one word list accompanied negative emotion and the other accompanied neutral emotions. The difference of EEG activity between two tasks was compared by paired t-test. We also compare the difference of the influence of negative emotions between normal subjects and patients with schizophrenia Results : In normal subjects, amplitude of beta wave was increased in temporal area such as TCP1, and, the amplitude of theta frequency wave was decreased in right hemisphere such as FP2, F4, C4, CP2, P4. But, in the schizophrenia group, there were no significant differences. Conclusion : These results may suggest that auditory verbal imagery with negative emotion requires more activation in left temporal area, but, appropriate activation may not achieved in schizophrenia patients. So, the possibility that the resultant disturbance of verbal self monitoring may be related to auditory hallucination is suggested in this study.