• 제목/요약/키워드: Rural Image

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고해상도 위성영상을 이용한 농촌 도로 매핑을 위한 영상 분류 및 영상 분할 방법 비교에 관한 연구 (Comparative Research of Image Classification and Image Segmentation Methods for Mapping Rural Roads Using a High-resolution Satellite Image)

  • 정윤재;구본엽
    • 한국지리정보학회지
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    • 제24권3호
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    • pp.73-82
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    • 2021
  • 농촌 도로는 농촌 지역의 개발과 관리를 위한 핵심 기반시설로서 원격탐사 자료를 활용한 농촌 도로 관리 기술은 농촌 교통 인프라 확대, 농촌 주민의 삶의 질 개선을 위해 매우 중요하다. 본 연구에서는 농촌 지역을 촬영한 고해상도 위성영상을 활용하여 농촌 도로를 매핑하기 위해 영상 분류 방법과 영상 분할 방법을 다음의 과정을 통하여 비교하였다. 영상 분류의 경우, 심층 신경망 기반 딥러닝 기법을 주어진 고해상도 위성영상에 적용하여 고정밀 객체 분류 지도를 제작하였고 이로부터 농촌 도로 객체를 추출함으로써 농촌 도로를 매핑하였다. 영상 분할의 경우, multiresolution segmentation 기법을 동일한 위성영상에 적용하여 세그먼트 영상을 제작하였고 농촌 도로에 위치한 다중 객체들을 선택하고 이들을 최종적으로 융합하여 농촌 도로를 매핑하였다. 영상 분류 및 영상 분할 방법을 통해 매핑한 농촌 도로의 정확도 검증을 위해 100개의 검사점을 사용하였고 다음과 같은 결론을 도출하였다. 영상 분류 방법에서는 객체 분류 지도 내 오분류 에러로 인해 영상 내 일부 농촌 도로의 인식이 불가능하였으나 영상 분할 방법에서는 영상 내 모든 농촌 도로의 인식이 가능하였으므로 영상 분할 방법이 영상 분류 방법보다 위성영상을 이용한 농촌 도로 매핑 작업에 더 적합한 방법이었다. 그러나 영상 분할 방법을 통해 매핑한 농촌 도로를 구성하는 일부 세그먼트들이 농촌 도로 외 객체를 포함하고 있어 영상 내 일부 농촌 도로에서 오분류 에러가 발생하였다. 추후 연구에서는 객체 기반 분류 또는 합성곱 신경망 등 다양한 정밀 객체 인식 기법을 고해상도 위성영상에 적용하여 농촌 도로의 정확도를 개선할 계획이다.

농촌문화관광의 구성요소가 농산물 이미지에 미치는 영향 (The Effect of Rural Cultural Tourism on the Image of Agricultural Products)

  • 이익수
    • 한국콘텐츠학회논문지
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    • 제18권2호
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    • pp.73-80
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    • 2018
  • 본 연구는 농촌관광객을 대상으로 농촌문화관광요소가 농산물브랜드 이미지에 미치는 영향을 알아보고자 하였으며, 연구결과는 다음과 같다. 첫째, 하드웨어 요소는 부분적으로 농산물 브랜드 이미지에 정(+)의 영향을 미치는 것으로 나타났다. 둘째, 소프트웨어 요소는 부분적으로 농산물 브랜드 이미지에 정(+)의 영향을 미치는 것으로 나타났다. 셋째, 인적자원 요소는 부분적으로 농산물 브랜드 이미지에 정(+)의 영향을 미치는 것으로 나타났다. 이러한 결과를 통해 농산물 브랜드 이미지에 영향을 미치는 각각의 농촌문화관광요소에 대해 다양한 전략을 개발하여 농촌문화관광의 활성화 전략개발 등이 이루어져야 할 것이다.

환경색채 추출을 통한 농촌마을 지붕 개선색채 선정방법에 관한 연구 (An Approach to Determining Rural Rooftop Color by Environmental Color Extraction)

  • 이영;안동만
    • 농촌계획
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    • 제16권3호
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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.

관개용수로 CCTV 이미지를 이용한 CNN 딥러닝 이미지 모델 적용 (Application of CCTV Image and Semantic Segmentation Model for Water Level Estimation of Irrigation Channel)

  • 김귀훈;김마가;윤푸른;방재홍;명우호;최진용;최규훈
    • 한국농공학회논문집
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    • 제64권3호
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    • pp.63-73
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    • 2022
  • A more accurate understanding of the irrigation water supply is necessary for efficient agricultural water management. Although we measure water levels in an irrigation canal using ultrasonic water level gauges, some errors occur due to malfunctions or the surrounding environment. This study aims to apply CNN (Convolutional Neural Network) Deep-learning-based image classification and segmentation models to the irrigation canal's CCTV (Closed-Circuit Television) images. The CCTV images were acquired from the irrigation canal of the agricultural reservoir in Cheorwon-gun, Gangwon-do. We used the ResNet-50 model for the image classification model and the U-Net model for the image segmentation model. Using the Natural Breaks algorithm, we divided water level data into 2, 4, and 8 groups for image classification models. The classification models of 2, 4, and 8 groups showed the accuracy of 1.000, 0.987, and 0.634, respectively. The image segmentation model showed a Dice score of 0.998 and predicted water levels showed R2 of 0.97 and MAE (Mean Absolute Error) of 0.02 m. The image classification models can be applied to the automatic gate-controller at four divisions of water levels. Also, the image segmentation model results can be applied to the alternative measurement for ultrasonic water gauges. We expect that the results of this study can provide a more scientific and efficient approach for agricultural water management.

생육환경에 따른 보호수 이미지 평가 - 예산군 느티나무를 중심으로 - (The study on the Image Evaluation of a Preserved Tree as Growth Environment - Focused on the Zelkova serrata in Yesangun -)

  • 손진관;신지훈;안필균;강방훈
    • 농촌계획
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    • 제17권2호
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    • pp.33-41
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    • 2011
  • To evaluate the value of a preserved tree as rural landscape resource, the growth environment and health condition was investigated, and the image evaluation was implemented on land~ape architectural major undergraduate students for zelkova trees in Yesan-gun. The image evaluation results of zelkova trees were as followings; 1) Typical image of preserved tree examined by Semantic Differential Scale were 'Old', 'Big', and 'Good'. 2) The 'big' image of zelkova tree and the height of tree, the width of tree crown, the breast girth of tree, the root girth of tree, the external formation of tree, and the health of tree bark is mutually related. Especially, the correlation between the 'big' and the external formation and the width of tree crown is high. 3) Typical image of preserved tree examined by Likert Scale were 'Natural', 'Green', 'Peaceful', and 'Rural'. 4) The preservation necessity for preserved tree was highly related with the state of ground, and the management necessity for preserved tree was highly related with contamination level and the state of ground. The appropriate management plan for preserved tree are proposed to improve the quality of rural landscape(basis of these results).

항공사진과 UAV를 이용한 농촌지역자원 주변환경의 시계열 변화 분석 - 충청남도 홍성군 결성면을 중심으로 - (Analysis of Time Series Changes in the Surrounding Environment of Rural Local Resources Using Aerial Photography and UAV - Focousing on Gyeolseong-myeon, Hongseong-gun -)

  • 안필균;엄성준;김용균;조한솔;김상범
    • 농촌계획
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    • 제27권4호
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    • pp.55-70
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    • 2021
  • In this study, in the field of remote sensing, where the scope of application is rapidly expanding to fields such as land monitoring, disaster prediction, facility safety inspection, and maintenance of cultural properties, monitoring of rural space and surrounding environment using UAV is utilized. It was carried out to verify the possibility, and the following main results were derived. First, the aerial image taken with an unmanned aerial vehicle had a much higher image size and spatial resolution than the aerial image provided by the National Geographic Information Service. It was suitable for analysis due to its high accuracy. Second, the more the number of photographed photos and the more complex the terrain features, the more the point cloud included in the aerial image taken with the UAV was extracted. As the amount of point cloud increases, accurate 3D mapping is possible, For accurate 3D mapping, it is judged that a point cloud acquisition method for difficult-to-photograph parts in the air is required. Third, 3D mapping technology using point cloud is effective for monitoring rural space and rural resources because it enables observation and comparison of parts that cannot be read from general aerial images. Fourth, the digital elevation model(DEM) produced with aerial image taken with an UAV can visually express the altitude and shape of the topography of the study site, so it can be used as data to predict the effects of topographical changes due to changes in rural space. Therefore, it is possible to utilize various results using the data included in the aerial image taken by the UAV. In this study, the superiority of images acquired by UAV was verified by comparison with existing images, and the effect of 3D mapping on rural space monitoring was visually analyzed. If various types of spatial data such as GIS analysis and topographic map production are collected and utilized using data that can be acquired by unmanned aerial vehicles, it is expected to be used as basic data for rural planning to maintain and preserve the rural environment.

그린투어리즘 활성화를 위한 도시민의 의식에 관한 연구 (A Study on the Consciousness of the City People to Revitalize the Green Tourism)

  • 김익환;장한섭;김영민
    • 한국산업융합학회 논문집
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    • 제12권1호
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    • pp.51-59
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    • 2009
  • The goal of this study is to deduce the image of city people on rural district, and to clarify the city people's demands on rural tour and their consciousness on green tourism. This study also aims to propose the effective ways of improving the environment of rural district to revitalize green tourism and to promote the exchange between urban and rural districts. The study results indicate that most city people have a warm-hearted lyric image on rural district. In addition, it is indicated that the city people like the rural district with beautiful scenery, which is easy to contact with nature. On the other hand, as the goal of green tourism, in addition to the contact with nature, the exchange between urban and rural districts and the understanding on the rural life through personal experience are also considered very important. Finally, the city people are classified into four types, and it is necessary to develop the green tour program with emphasis on the city people of overall-type.

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조망거리에 따른 농촌경관의 농촌다움 평가에 관한 연구 (A Study on Evaluation of the Rurality by the Distance of View)

  • 신민지;신지훈
    • 농촌계획
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    • 제21권2호
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    • pp.63-77
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    • 2015
  • Improve the rural views of the Government and the municipalities with the intention of rural landscape planning. However, rural scenery evaluation of landscape types and element categories, landscape scenes, such as the valuation of resources selected, form a coherent system and ecological point of view is not only a Visual perspective of evaluation, or evaluation is made. This study evaluates the rural landscape through the rural landscape for rurality is implemented can explain the image. Rural amenity 100 represented the rural landscape in rurality with photos of photos, and scenes, photos, location-based rural Vista rurality landscapes drawn components. Selected landscape photography scenic landscapes in the u.s. survey and image vocabularies through surveys is representative of the landscape in rurality of each Vista location-specific photos and images began extracted factors. As a result, the Distant view is a town and village in the rolling hills of the surrounding environment is an image behind the Vista Skyline, Farmland Rural village forests, Behind the hills, Individual housing roof, Housing arrangement, The number of household includes landscape components. Factor analysis 'openness', 'intimacy', 'activity', 'complexity', 'safety' was down to five factors, such as a description of the overall factors that force was 66.45 percent. Middle distance view is close to being out of town houses and village environment, an image in the skyline hills Vista, farmlands, village forests, rolling hills, behind the scenes of the housing component of the neck, the sperm will honor an individual factor analysis results are 'intimacy', 'safety', 'openness', 'specificity', 'complexity' five factors the whole description of the capacity factors compared to 67.24 percent. Close-range view is mainly in Vista village embraced the individual elements and an image of a harmonious location in the surroundings of the sperm, individual houses, fences, gates, courtyard, Garden, garage, agricultural facilities, including, but not limited to, factors assay but an 'intimacy', 'complexity', 'safety', 'activity', 'openness' five factors, such as a description of the overall factors that force was 65.29%. This research seeks to determine the extent to which rurality of rural landscape Vista by location attributes and elements and representative officer in photo selection and rurality to extract the image. To date, followed by a comprehensive study, which was presented through the readjustment could not overlook the Visual elements. The future rural development officer for the evaluation of rural landscape classification and quantitative and objective assessment will have to come up with ways to do.

제주도의 농촌관광 이미지 유형별 선호 체험활동에 관한 연구 (A Study on the rural Tourism Image Types based Segmentation on Preference Activities : A case of Rural village in Jeju Province)

  • 강하나;이진희
    • 농촌계획
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    • 제22권2호
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    • pp.141-152
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    • 2016
  • The role of rural towns as a leisure space has recently been increasing with changes in the consumption trends in domestic tourism. Based on the tourists visiting the town of Sunheul-ri, Jocheon-eup, a rural Village in Jeju Island, this study categorized the market according to the images formed by the tourists of rural towns, and analyzed the preferred mode of participation in rural field activities for each category. We analyzed the characteristic factors of the images of rural tourism formed by the tourists, extracted three factors for cluster analysis, and then formed three groups: "Group of Rural Experience Activity" "Group of Rural Environment and Service" and "Group of Rest in the Rural" After analyzing the preferred activity in each image-category group, we found no significant differences among the groups in ordinary activities such as viewing the scenery, experiencing and learning about the natural environment, and culinary experiences. However, there were significant differences among the groups regarding participation in experiential tour programs with the purpose of active tourism. The "Group of Rural Experience Activity" sought to actively participate in various activity programs, whereas the "Group of Rest in the Rural" comparatively had a weaker preference for such active programs. We thus learnt that tourists' preferred activities are different according to the types of images formed by the tourists visiting rural towns. Therefore, to strengthen the competitive advantage of the rural tourist destinations of Jeju Island, it is necessary to provide various activity programs that are appropriate for the rural regions of Jeju and to accord with the expectations associated with each market segment category by positioning the programs according to the characteristics of the images held by the tourists.

투수 콘크리트 블록 공극률 및 투수계수 평가를 위한 표면 이미지 분석 기법 개발 (Surface Image Analysis for Evaluating Porosity and Permeability Coefficient of Permeable Concrete Block)

  • 조상범;손영환;김동근;전지훈;김태진
    • 한국농공학회논문집
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    • 제65권2호
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    • pp.47-57
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    • 2023
  • The increase of impermeable area ratio is causing hydrologic cycle problems in urban areas and groundwater depletion in rural areas, permeable pavements are getting attention to expand permeable areas. The performance of the permeable concrete block pavement, which is part of the permeable pavement, is greatly affected by the porosity. In addition, the permeability coefficient is a major factor when designing permeable concrete block pavement. Existing porosity and permeability test methods have problems such as uneconomical or poor field applicability. The object of this study was to develop a methodology for evaluating porosity and permeability coefficient using a surface image of a permeable concrete block. Specimens are manufactured with various porosity ranges and porosity and permeability tests are performed. After surface image preprocessing, normalization and binarization methods were compared. Through this, the method with the highest correlation with the lab test result was determined. From the results, the PDR (pore determined ratio) was obtained. Simple linear regression analysis is performed with PDR and lab test results. The results showed a high correlation of R2 more than 0.8, and the errors were also low.