• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.241-254
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• 2020

As environmental concerns continue to grow, green supply chain management (GSCM) is attracting attention as an element of competitive advantage for companies. This study examined internal GSCM practices to show how they influenced the end-point of the supply chain from the perspective of the end-consumer. It identified the effects of environmental concerns on consumer purchasing behavior mediated by the company image of internal GSCM practices. Data were collected through an email survey of Korean consumers. Reliability and validity were verified using SPSS 18.0. Cronbach's alpha, and confirmatory factor analysis. The results showed that environmental concerns had a positive impact on such practices, and the image of internal GSCM practices was found to have a significantly positive effect on consumer purchasing behavior. Companies will have to actively reflect environmental factors in their operational activities, and GSCM implementation will become a necessity. A positive image of internal environmental management and eco-design, which are key elements of internal GSCM practices, strengthened the company's eco-friendly image and ultimately affected consumer purchasing behavior. This suggests that it is important for companies to evaluate their environmental attitude and make eco-friendly products from a consumer's perspective, making it a differentiation strategy for a company in building an eco-friendly corporate image.

• Korean Journal of Remote Sensing
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• v.26 no.3
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• pp.325-333
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• 2010

Image registration involves overlapping images of an identical region and assigning the data into one coordinate system. Image registration has proved important in remote sensing, enabling registered satellite imagery to be used in various applications such as image fusion, change detection and the generation of digital maps. The image descriptor, which extracts matching points from each image, is necessary for automatic registration of remotely sensed data. Using contrast enhancement algorithms such as histogram equalization and image stretching, the normalized data are applied to the image descriptor. Drawing on the different spectral characteristics of high resolution satellite imagery based on sensor type and acquisition date, the applied normalization method can be used to change the results of matching interest point descriptors. In this paper, the matching points by scale invariant feature transformation (SIFT) are extracted using various contrast enhancement algorithms and injection of Gaussian noise. The results of the extracted matching points are compared with the number of correct matching points and matching rates for each point.

• Korean Journal of Agricultural Science
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• v.49 no.3
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• pp.667-678
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• 2022

A characteristic of a region's environmental resources is the competitiveness of local agricultural products. This study explores methods of making locally produced agricultural products appealing to consumers. We looked at ways to appeal to consumers by using the image of environment resource and environment-agriculture product image congruence. The relationships of two dimensions of environmental image, perceived quality and purchase intention, are examined. From the results of the study, both the image of environment resource and environment-agriculture product image congruence have a positive effect on purchasing local agricultural products through perceived quality. This study tried to ascertain which of the two dimensions of the environmental image factor is more effective in terms of consumer appeal for local agricultural products. As a result, both the image of environment resource and environment-agricultural product image congruence are found to have a positive effect on the purchase intention of consumers through perceived quality. By comparing the paths of the two dimensions it is found that the method of appealing to consumers by using the environment-agriculture product image congruence is more effective. The results of this study present an effective method of making locally produced agricultural products appealing to consumers and suggest an effective strategic direction for selling local agricultural products.

• Korean Institute of Interior Design Journal
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• no.16
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• pp.161-167
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• 1998

The Study to verify the relations between the store choice behavior and the interior environmental image. the point of view is that the image of store affects the behavior of customers when they choose the store for shopping. The method used for this study is library survey for constructing the store choice model and the field survey for veryfying the model. The store choice behavior of customers occurs according to the procedure : environment exposure-development of cognitive structure-image developing by the emotional response-attitude decision- purchasing. The image of a store is one of the very important elements in marketing stragy. The group which showed the affirmative response to the emvironmental design aspects also showed the high affirmative response to the store image. The group which showed consistent response to the image of store and the image of him/herself showed more affirmative response to the environmental design aspects. Good image to a store affects affirmative attitude of customers and it consequently the store choice behavior

• Journal of Animal Environmental Science
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• v.5 no.3
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• pp.139-148
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• 1999

This study was conducted to develop an image processing system which can classify the pig's thermoregulatory behavior under the different environmental conditions. The 4 pigs of 25kg were housed in the environmentally controlled chamber(1.4m$\times$2.2m floor space). Postural behavior of the pigs was captured with an CCD color camera. The raw behavioral images were processed by thresholoding, reduction, separation of slightly contacted pigs, labeling, noise removal, computation of number of labels, and classification of the pig's behavior. The correct classification rate of the image processing system was 97.8%(88 out of 90 testing images). The results of this study showed that the image processing system could be used for a behavior-based automatic environmental controller.

• Journal of Environmental Impact Assessment
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• v.8 no.1
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• pp.61-70
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• 1999

The purpose of this study is to understand an appreciation and a perceptive structure of "keijeok" image by Semantic Differential Technique and Factor Analysis. The data used in this study was obtained by the questionnaire survey carried out in Pusan metropolitan city. 15 adjective pairs in the survey were evaluated by the Semantic Differential scales graded 7 ranges from 1(very good) to 7(very bad). A total of 452 samples were collected by the survey and analyzed for this study. The results are as follows; First, 15 variables comprehended to "keijeok" image were estimated as a positive conception(LT 4.0). What's more, residents may perceive "keijeok" image as intangible and aesthetic aspect such as "fresh", "pleasant", "clean". Second, the result of factor analysis shows that factor I which express the major conceptual meaning of "keijeok" image tends to have intangible or aesthetic adjective pairs rather than concrete, whereas factor II which has the weaker meaning compared with factor I may represent a functional aspect of "keijeok" image. It can explain that the perceptive structure of "keijeok" image may be largely influenced by subjective sense, then added or concreted with objective conception or environmental situation. The results can be considered as an important matter which should be reflected at the stage of environmental planning for people's amiable and desirable place.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.5
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• pp.331-341
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• 2019

With the popularity of sensor-rich environments, smartphones have become one of the major platforms for obtaining and sharing information. Since it is difficult to utilize GNSS (Global Navigation Satellite System) inside the area with many buildings, the localization of smartphone in this case is considered as a challenging task. To resolve problem of localization using smartphone a four step image-based localization method and procedure is proposed. To improve the localization accuracy of smartphone datasets, MMS (Mobile Mapping System) and Google Street View were utilized. In our approach first, the searching for candidate matching image is performed by the query image of smartphone's using GNSS observation. Second, the SURF (Speed-Up Robust Features) image matching between the smartphone image and reference dataset is done and the wrong matching points are eliminated. Third, the geometric transformation is performed using the matching points with 2D affine transformation. Finally, the smartphone location and attitude estimation are done by PnP (Perspective-n-Point) algorithm. The location of smartphone GNSS observation is improved from the original 10.204m to a mean error of 3.575m. The attitude estimation is lower than 25 degrees from the 92.4% of the adjsuted images with an average of 5.1973 degrees.

• Proceedings of the KSRS Conference
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• 2008.10a
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• pp.365-367
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• 2008

A digital city model represents a 3D environment of a city with various city object information such as 3D building model, road, and land cover. Usually, at least two satellite images with some image overlap are necessary and a complex satellite-related computation needs to be carried out to create a city model. This is an expensive technique, because it requires many resources and excessive computational cost. The authors propose a methodology to create a digital city model including 3D building model and land cover information from a single high resolution satellite image. The approach consists of image pan-sharpening, shadow recovery, building occlusion restoration, building model extraction, and land cover classification. We create a digital city model using a single KOMPSAT-2 image and review the result.

• Journal of the Korean Institute of Landscape Architecture
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• v.32 no.1
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• pp.57-68
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• 2004

The purpose of this paper is to discover the Image and Visual Preference of the Environmental Sculpture in Urban Streetscape. For this, the analysis was preformed by the data obtained from questionnaires and from the photos of the environmental sculptures scene. The landscape image was analyzed by the factor analysis algorithm. The level of visual preference was measured by a slide simulation test, and this data was analyzed by multiple regression. The results of this study can be summarized as follows: The visual preference of the environmental sculpture has been evaluated to average 4.03 on a scale of 7 Landscape slides No. 11 and No.5 were ranked more highly for visual preference. Factors formulating the landscape image were found to be 'beauty', 'orderliness', 'emotion', and 'formation'. By using the control method for the number of factors, T.V., were obtained as 63.0%. For all experimental landscape slides, the factor of orderliness was found to be the main factor determining the visual preference. The 4 factors for visual preference were analyzed by regression as follows: Visual Preference = 3.996 + 0.341(FS1) + 0.595(FS2) + 0.222(FS3) + 0.011(FS4), R-Square = 0.520.

• Journal of Korean Society of Rural Planning
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• v.16 no.3
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• pp.1-10
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• 2010

The purpose of this study is to find out the color preference on rural rooftop color. Today, public profit value of a rural community has been heavily recognized in the areas of preservation of pro-environmental and traditional life styles and foundation of collective community. Comparatively with urban, rural town conserves the scenic of those days when the historic landscape existed. Therefore, elements of historic and tradition in rural town are interesting resources to people who want traditional experience. Color is one of the most influenced elements for the image of Landscape. On the other hand, radical modernization has brought conflicting color element that does not blend with existing environmental color. Among others, roof represents one of the important traits of rapidly developing rural community due to vast amount of space it covers. In order to come up with more appropriate coloring scheme, it is necessary determine color that forms a balance with present conditions of rural life and historic landscape. This study provides more objective rooftop coloring selection process by employing additional surveys regarding color image adjective. I justified necessity of the balance between environmental color and roof color through analyzing correlation between environmental color of the rural town and Color Image Scale of the preliminary selection of roofs.