• 제목/요약/키워드: Rural Image

검색결과 366건 처리시간 0.024초

무료 Web GIS와 보급형 게임엔진을 이용한 다중플랫폼 3차원 인터랙티브 농촌경관 시뮬레이터 개발 (Development of Multi-platform 3D Interactive Rural Landscape Simulator with Low-cost Web GIS and Game Engine)

  • 이성용;김태곤;이지민;서교
    • 농촌계획
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    • 제19권4호
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    • pp.177-189
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    • 2013
  • 3D modeling and rendering technologies are getting more attention from landscape planners and architects because the virtual reality based on 3D graphic technology could give more realistic experience to landscape simulation users and boost promotional effects. The 3D landscape simulation, however, not only requires a lot of cost and time in production, but also demands efforts to distribute to consumers due to various computing environment of them. The purpose of this study is to suggest a process for developing an interactive 3D landscape simulator with low-cost, which can support multi-platform functionality in high quality through reviewing related current software and web services. We select GIMP for 2D image texturing, SketchUpfor 3D modeling, Unity for real-time rendering, and Google Earth for terrain modeling considering price and workability and apply the developed process for Windows, Web, and Android versions to test the applicability for Sangji-ri, Gosam-myeon, Gyeonggi-do, Korea.

경관유형 분류지표에 관한 연구 - 자연 및 농촌경관 유형도 작성을 중심으로 - (Classification Index for Landscape Type - focused on Natural and Rural landscape mapping -)

  • 임승빈;서정희;박향춘;정윤희
    • 농촌계획
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    • 제13권1호
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    • pp.41-50
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    • 2007
  • Recently, it is demanded to study about landscape. Landscape is an environment factor for improving life, a social resource for establishing image and identity of the area and also a tourist resource for earning profit. With this importance, landscape planning is being performed by local governments. However, classification for a rule about landscape planning is not prepared yet. For this purpose, classification of landscape is definitely required. Therefore, this article focuses on presenting method of classification Natural and Rural Landscape. We used Arcview 3.2 to draw watershed of the site, and calculated the percent of landform. We also took a picture which explain the landscape and made a survey of classifying the landscape. Due to this study, we were able to frame an algorithm of the landscape classification. This will contribute to classify the landscape type. This study needs more specific researches because it was supposed to target the entire Gyeonggi-Do however it only covered several regions. Through this results, it would be expected to develop the map of landscape character.

드론 열화상활용 저수지 제체 누수탐사 (Drone Infrared Thermography Method for Leakage Inspection of Reservoir Embankment)

  • 이준구;유영철;김영화;최원;김한중
    • 한국농공학회논문집
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    • 제60권6호
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    • pp.21-31
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    • 2018
  • The result of examination of diagnostic method, which is composed of a combination of a thermal camera and a drone that visually shows the temperature of the object by detecting the infrared rays, for detecting the leakage of earth dam was driven in this research. The drone infrared thermography method was suggested to precise safety diagnosis through direct comparing the two method results of electrical resistivity survey and thermal image survey. The important advantage of the thermal leakage detection method was the simplicity of the application, the quickness of the results, and the effectiveness of the work in combination with the existing diagnosis method.

ENHANCEMENT AND SMOOTHING OF HYPERSPECTAL REMOTE SENSING DATA BY ADVANCED SCALE-SPACE FILTERING

  • Konstantinos, Karantzalos;Demetre, Argialas
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.736-739
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    • 2006
  • While hyperspectral data are very rich in information, their processing poses several challenges such as computational requirements, noise removal and relevant information extraction. In this paper, the application of advanced scale-space filtering to selected hyperspectral bands was investigated. In particular, a pre-processing tool, consisting of anisotropic diffusion and morphological leveling filtering, has been developed, aiming to an edge-preserving smoothing and simplification of hyperspectral data, procedures which are of fundamental importance during feature extraction and object detection. Two scale space parameters define the extent of image smoothing (anisotropic diffusion iterations) and image simplification (scale of morphological levelings). Experimental results demonstrated the effectiveness of the developed scale space filtering for the enhancement and smoothing of hyperspectral remote sensing data and their advantage against watershed over-segmentation problems and edge detection.

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동해연안 주택외관의 인지특성에 관한 연구 (An Analysis on the characteristic of recognition about Individual Housing according to the landscape in Donghae Seaside)

  • 조원석;김흥기;김용기;주재우;김정현
    • 한국농촌건축학회논문집
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    • 제7권3호
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    • pp.27-35
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    • 2005
  • This study is about finding out characteristic of recognition individual housing in seaside of Donghae. To accomplish this purpose, we survey the 150 houses related to the landscape. Thus the major analysis is to take basic data, such as image(modern, western, traditional, etc) about exterior form of housing corresponding to the landscape. The result summarized as follows First, the elements for the characteristic of recognition were exterior material finish, exterior color, roof type, roof material finish, window size, roof slope, area of wall vs roof. Second, the image of traditional housing was very insufficient to plan landscape of housing with design elements. This research suggests that landscape housing of future is to be environmental landscape design and the proper design is to be various considering not only user's preference but also control of landscape.

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AUTOMATIC DETECTION OF OIL SPILLS WITH LEVEL SET SEGMENTATION TECHNIQUE FROM REMOTELY SENSED IMAGERY

  • Konstantinos, Karantzalos;Demetre, Argialas
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.126-129
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    • 2006
  • The marine environment is under considerable threat from intentional or accidental oil spills, ballast water discharged, dredging and infilling for coastal development, and uncontrolled sewage and industrial wastewater discharges. Monitoring spills and illegal oil discharges is an important component in ensuring compliance with marine protection legislation and general protection of the coastal environments. For the monitoring task an image processing system is needed that can efficiently perform the detection and the tracking of oil spills and in this direction a significant amount of research work has taken place mainly with the use of radar (SAR) remote sensing data. In this paper the level set image segmentation technique was tested for the detection of oil spills. Level set allow the evolving curve to change topology (break and merge) and therefore boundaries of particularly intricate shapes can be extracted. Experimental results demonstrated that the level set segmentation can be used for the efficient detection and monitoring of oil spills, since the method coped with abrupt shape’s deformations and splits.

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무인비행기 (UAV) 영상을 이용한 농작물 분류 (Crops Classification Using Imagery of Unmanned Aerial Vehicle (UAV))

  • 박진기;박종화
    • 한국농공학회논문집
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    • 제57권6호
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    • pp.91-97
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    • 2015
  • The Unmanned Aerial Vehicles (UAVs) have several advantages over conventional RS techniques. They can acquire high-resolution images quickly and repeatedly. And with a comparatively lower flight altitude i.e. 80~400 m, they can obtain good quality images even in cloudy weather. Therefore, they are ideal for acquiring spatial data in cases of small agricultural field with mixed crop, abundant in South Korea. This paper discuss the use of low cost UAV based remote sensing for classifying crops. The study area, Gochang is produced by several crops such as red pepper, radish, Chinese cabbage, rubus coreanus, welsh onion, bean in South Korea. This study acquired images using fixed wing UAV on September 23, 2014. An object-based technique is used for classification of crops. The results showed that scale 250, shape 0.1, color 0.9, compactness 0.5 and smoothness 0.5 were the optimum parameter values in image segmentation. As a result, the kappa coefficient was 0.82 and the overall accuracy of classification was 85.0 %. The result of the present study validate our attempts for crop classification using high resolution UAV image as well as established the possibility of using such remote sensing techniques widely to resolve the difficulty of remote sensing data acquisition in agricultural sector.

딥러닝 기반 옥수수 포장의 잡초 면적 평가 (Deep Learning Approaches for Accurate Weed Area Assessment in Maize Fields)

  • 박혁진;권동원;상완규;반호영;장성율;백재경;이윤호;임우진;서명철;조정일
    • 한국농림기상학회지
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    • 제25권1호
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    • pp.17-27
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    • 2023
  • 포장에서 잡초의 발생은 농작물의 생산량을 크게 떨어트리는 원인 중 하나이고 SSWM을 기반으로 잡초를 변량 방제하기 위해서 잡초의 발생 위치, 밀도 그리고 이를 정량화하는 것은 필수적이다. 본 연구에서는 2020년의 국립식량과학원에서 잡초 피해를 입은 옥수수 포장의 영상데이터를 무인항공기를 활용해서 수집하였고 이를 배경과 옥수수로 분리하여 딥러닝 기반 영상 분할 모델 제작을 위한 학습데이터를 획득하였다. DeepLabV3+, U-Net, Linknet, FPN의 4가지의 영상 분할 네트워크들의 옥수수의 검출 정확도를 평가하기 위해 픽셀정확도, mIOU, 정밀도, 재현성의 지표를 활용해서 정확도를 검증하였다. 검증 결과 DeepLabV3+ 모델이 0.76으로 가장 높은 mIOU를 나타냈고, 해당 모델과 식물체의 녹색 영역과 배경을 분리하는 지수인 ExGR을 활용해서 잡초의 면적을 정량화, 시각화하였다. 이러한 연구의 결과는 무인항공기로 촬영된 영상을 활용해서 넓은 면적의 옥수수 포장에서 빠르게 잡초의 위치와 밀도를 특정하고 정량화하는 것으로 잡초의 밀도에 따른 제초제의 변량 방제를 위한 의사결정에 도움이 될 것으로 기대한다.

일부 농촌지역에서의 보건지소 의료인의 정의적인 태도가 주민의 보건지소 이용에 미치는 영향 (A Study on Desirable Attitudes of Health Subcenter Personnel, Affecting to Utilization of a Rural Health Subcenter for Primary Health Care)

  • 위자형
    • 농촌의학ㆍ지역보건
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    • 제14권1호
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    • pp.30-36
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    • 1989
  • In order to desirable attitudes of health subcenter personnel, affecting to utilization of a rural health subcenter for primary health care, a study carried out, through analyzing the specific survey datas of 228 out of 1151 total house-holders in a rural community, Su-Dong Myun, Yam-yang-ju kun, Kyung-Gi Do in Korea, and the medical re-cords of total out-patients of health subcenter in this district during 1981-1988. The following results were obtained: 1) The annual utilization rate showed decreasing tedency such as 723 per 1,000 inhabitants in 1981, 652 in 1982, 618 in 1985, 54H in 1984 and 341 in 1987, since 1981. 2) The utilization Rate in 1987 was unusually the lowest with 341 per 1,000 inhabitants in decreasing tendency, steadily. 3) In advatage on utilization of health subcenter for primary health care in a rural area, 68.8% of the respondents answered that it was in comprehensive health care with the highest rate and next order in near distance from living place with 16.7% in easy and simple process to utilize with 9.2% and in lower medical cost with 5.3%. 4) The order of desirable image of rural health subcenter personnel for primary health care was of good attitude(57.0%), of good skill(29.0 %) and of wide knowledge(14.0%), 5) The order of desirable image of doctor for primary health care in rural health subcenter was of good skill(.44.3%), of good attitude(36.8%) and of wide knowledge(18.9%), and nurse was of good attitude(76.8%), of good skill(14.0 %) and of wide knowledge(9.2%). 6) The percentage order by good attitudes of rural health subcenter personnel was the highest in responsibility(38.2%), kindness(26.3% ), proprieties(14.9%), sincerity(12.7%) and notion of duty hours(6.6%). 7) The statistical datas in health subcenter was written and kept, without distinction of definition of new and old patients, by month and for suitable method of medical expenses of medical insurance and medicaid by clerical convenience. 8) In future, the organization of health subcenter must be unified, systematized and rationlized for primary health care. Health subcenter must be organized by 3 parts of function(medical care, health service and clerical affair) and then function of health subcenter will be more activated by clerical activities.

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농촌 남녀 중학생의 영양소섭취, 식행동과 체형인식에 관한 비교 (Comparisons of Nutrient Intakes, Dietary Behavior and Perception about Body Image between Adolescent Body and Girls in Rural Area)

  • 노희경
    • 대한지역사회영양학회지
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    • 제5권2호
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    • pp.280-288
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    • 2000
  • This study was undertaken to compare the obesity related dietary factors among rural middle school students living in Korea. Anthropometric data showed that mean height and weigh were 161.7$\pm$13.0 and 49.8$\pm$10.3kg in 226 male students and 158.3$\pm$6.1 and 48.2$\pm$7.5kg in 212 female students. Mean BMIs for boys and girls were 19.10$\pm$2.47 and 19.26$\pm$2.35, respectively. 71.68% of male students and 72% of female students were underweight by the BMI index. The BMI of older students was higher than young ones in both sexes. Most nutrient intakes of the subjects were below the RDA. In particular Ca and Fe intakes were extremely low in both sexes. 66.88% of the students skipped breakfast and it was found that the reasons for missing a meal for both sexes were significantly different. Compared to males, more female respondents felt guilty and depressed related to eating. Furthermore, females were more significantly concerned with body image, diet, and body weight(p〈0.001), and they were not satisfied with their weight. The sources of information on obesity and diet were from radio and TV in males while females got information from magazines and friends. In male students their ideal body weight was higher was higher than actual body weight. In contrasting, female students desired a thin body shape. A different approach for nutrition education for adolescents should be developed and implemented based on sex.

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