• Title/Summary/Keyword: spatial division

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Analysis of Color Characteristics of Marine Oil Spills Using PlanetScope Images (PlanetScope 영상을 이용한 해양 유출유의 색상 특성 분석)

  • Jonggu Kang;Youjeong Youn;Seoyeon Kim;Yemin Jeong;Soyeon Choi;Yungyo Im;Youngmin Seo;Yangwon Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.5_2
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    • pp.875-883
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    • 2023
  • In this letter, we used PlanetScope imagery to conduct experiments on the color characteristics for oil type classification of marine oil spills through Red-Green-Blue (RGB) histogram analysis. The histograms of marine oil spills can be divided into three categories (dark black tones, light silver tones, and light rainbow tones) according to the distribution of pixel values in each band. Thick oil layers with dark black tones can be classified as heavy oil, while thin oil layers with light silver and rainbow tones can be classified as light oil. As more images are analyzed in the future, these oil spill detection and classification methods will become more generalized and reliable.

Artificial Intelligence-Based Detection of Smoke Plume and Yellow Dust from GEMS Images (인공지능 기반의 GEMS 산불연기 및 황사 탐지)

  • Yemin Jeong;Youjeong Youn;Seoyeon Kim;Jonggu Kang;Soyeon Choi;Yungyo Im;Youngmin Seo;Jeong-Ah Yu;Kyoung-Hee Sung;Sang-Min Kim;Yangwon Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.5_2
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    • pp.859-873
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    • 2023
  • Wildfires cause a lot of environmental and economic damage to the Earth over time. Various experiments have examined the harmful effects of wildfires. Also, studies for detecting wildfires and pollutant emissions using satellite remote sensing have been conducted for many years. The wildfire product for the Geostationary Environmental Monitoring Spectrometer (GEMS), Korea's first environmental satellite sensor, has not been provided yet. In this study, a false-color composite for better expression of wildfire smoke was created from GEMS and used in a U-Net model for wildfire detection. Then, a classification model was constructed to distinguish yellow dust from the wildfire smoke candidate pixels. The proposed method can contribute to disaster monitoring using GEMS images.

A Spatial Audio System Using Multiple Microphones on a Rigid Sphere

  • Lee, Tae-Jin;Jang, Dae-Young;Kang, Kyeong-Ok;Kim, Jin-Woong;Jeong, Dae-Gwon;Hamada, Hareo
    • ETRI Journal
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    • v.27 no.2
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    • pp.153-165
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    • 2005
  • The main purpose of a spatial audio system is to give a listener the same impression as if he/she were present in a recorded environment. A dummy head microphone is generally used for such purposes. Because of its human-like shape, we can obtain good spatial sound images. However, its shape is a restriction on its public use and it is difficult to convert a 2-channel recording into multi-channel signals for an efficient rendering over a multi-speaker arrangement. In order to solve the problems mentioned above, a spatial audio system is proposed that uses multiple microphones on a rigid sphere. The system has five microphones placed on special points of the rigid sphere, and it generates audio signals for headphone, stereo, stereo dipole, 4-channel, and 5-channel reproduction environments. Subjective localization experiments show that front/back confusion, which is a common limitation of spatial audio systems using the dummy head microphone, can be reduced dramatically in 4-channel and 5-channel reproduction environments and can be reduced slightly in a headphone reproduction.

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Accuracy Comparison of Air Temperature Estimation using Spatial Interpolation Methods according to Application of Temperature Lapse Rate Effect (기온감률 효과 적용에 따른 공간내삽기법의 기온 추정 정확도 비교)

  • Kim, Yong Seok;Shim, Kyo Moon;Jung, Myung Pyo;Choi, In Tae
    • Journal of Climate Change Research
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    • v.5 no.4
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    • pp.323-329
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    • 2014
  • Since the terrain of Korea is complex, micro- as well as meso-climate variability is extreme by locations in Korea. In particular, air temperature of agricultural fields is influenced by topographic features of the surroundings making accurate interpolation of regional meteorological data from point-measured data. This study was carried out to compare spatial interpolation methods to estimate air temperature in agricultural fields surrounded by rugged terrains in South Korea. Four spatial interpolation methods including Inverse Distance Weighting (IDW), Spline, Ordinary Kriging (with the temperature lapse rate) and Cokriging were tested to estimate monthly air temperature of unobserved stations. Monthly measured data sets (minimum and maximum air temperature) from 588 automatic weather system(AWS) locations in South Korea were used to generate the gridded air temperature surface. As the result, temperature lapse rate improved accuracy of all of interpolation methods, especially, spline showed the lowest RMSE of spatial interpolation methods in both maximum and minimum air temperature estimation.

A Study on the Construction of the Framework Spatial DB for Developing Watershed Management System Based on River Network (하천 네트워크 기반의 유역관리시스템 개발을 위한 프레임워크 공간 DB 구축에 관한 연구)

  • Kim, Kyung-Tak;Choi, Yun-Seok;Kim, Joo-Hun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.7 no.2
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    • pp.87-96
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    • 2004
  • When watershed spatial database is constructed from DEM, hydrological geographic characteristics of watershed can be easily extracted. And the characteristics can be assigned and managed as the attribute of spatial database. In this study the scheme of constructing framework spatial database which is basic information for managing watershed information is examined. We established framework spatial data and defined the relationship of the data. And framework spatial database of test site was constructed. In this study, HyGIS(Hydrological Geographic Information System) which is developed by domestic technology for making hydrological spatial data and developing water resources system is used. Hydrological geographic characteristics and spatial data is extracted by HyGIS. And the data from HyGIS is used for constructing framework spatial database of test site. Finally, this study suggests the strategy of constructing framework spatial database for developing watershed management system based on river network.

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Spatial Analyses of Soil Chemical Properties from a Remodeled Paddy Field as Affected by Wet Land Leveling

  • Jung, Ki-Yuol;Choi, Young-Dae;Lee, Sanghun;Chun, Hyen Chung;Kang, Hang-Won
    • Korean Journal of Soil Science and Fertilizer
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    • v.49 no.5
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    • pp.555-563
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    • 2016
  • Uniformity and leveled distributions of soil chemicals across paddy fields are critical to manage optimal crop yields, reduce environmental risks and efficiently use water in rice cultivation. In this study, an investigation of spatial distributions on soil chemical properties was conducted to evaluate the effect of land leveling on mitigation of soil chemical property heterogeneity from a remodeled paddy field. The spatial variabilities of chemical properties were analyzed by geostatistical analyses; semivariograms and kriged simulations. The soil samples were taken from a 1 ha paddy field before and after land leveling with sufficient water. The study site was located at Bon-ri site of Dalseong and river sediments were dredged from Nakdong river basins. The sediments were buried into the paddy field after 50 cm of top soils at the paddy field were removed. The top soils were recovered after the sediments were piled up. In order to obtain the most accurate spatial field information, the soil samples were taken at every 5 m by 5 m grid point and total number of samples was 100 before and after land leveling with sufficient water. Soil pH increased from 6.59 to 6.85. Geostatistical analyses showed that chemical distributions had a high spatial dependence within a paddy field. The parameters of semivariogram analysis showed similar trends across the properties except pH comparing results from before and after land leveling. These properties had smaller "sill" values and greater "range" values after land leveling than ones from before land leveling. These results can be interpreted as land leveling induced more homogeneous distributions of soil chemical properties. The homogeneous distributions were confirmed by kriged simulations and distribution maps. As a conclusion, land leveling with sufficient water may induce better managements of fertilizer and water use in rice cultivation at disturbed paddy fields.

A Basic Study On Appointing Landscape Agricultural Districts using Spatial Data (농촌경관 데이터를 활용한 경관농업지구 설정 기초 연구)

  • Choi, Jin-Ah;Yu, Joon-Wan;Kim, Su-Yeon;Do, Jee-yoon;Kim, Sang-Bum
    • Journal of Korean Society of Rural Planning
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    • v.30 no.4
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    • pp.187-195
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    • 2024
  • In response to rural challenges such as population decline and unregulated development, the Rural Spatial Restructuring Act was enacted in March 2024. Starting in 2025, 139 cities and counties nationwide must establish basic rural spatial plans and will be permitted to designate and manage Rural Specialized Zones. However, discussions on the designation and management of these zones remain limited. This study focuses on developing criteria for designating Agricultural Landscape Zones, a type of Rural Specialized Zone, to preserve regional identity and rural character. Using GIS and spatial data, two rural areas with different characteristics were analyzed for potential Agricultural Landscape Zones. The candidate areas for these zones were identified by considering the scale of farmland and viewpoints for landscape resources to determine appropriate boundaries. In Dangjin City, a rural area with significant development, the area designated for Landscape Conservation Direct Payment (agricultural land) was much smaller compared to Sunchang County, a typical rural area. Thus, utilizing Agricultural Landscape Zones in Dangjin as buffers against unregulated development and as tourism resources proved more efficient. Conversely, in Sunchang County, the higher proportion of large-scale farmland made it feasible to create extensive agricultural landscapes. This indicates the need for further segmentation of the scale and function of Agricultural Landscape Zones to align with regional characteristics.

A Study on the Causal Relationship of Perceived Risks, Service Quality and Customer Satisfaction in Ubiquitous Environment by Using Spatial Information (유비쿼터스 환경에서 공간정보 활용에 따른 고객의 지각된 위험, 서비스 품질과 고객만족의 구조적 관계 연구)

  • Kim, Yong-Beom;Chung, Nam-Ho
    • Journal of the Korea Safety Management & Science
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    • v.10 no.3
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    • pp.145-154
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    • 2008
  • The Location Based Services (LBS) comprise spatial information and mobile technology allow users to receive various services based on Global Positioning Systems (GPS). Although, spatial information based services are very useful, it has lots of possibility to damage privacy protection. But the contents of the legislation by government have problems conflicted between protection of a person's location information and invigoration LBS. Therefore, in this study suggest a causal model to deal with user satisfaction and factors affecting spatial information based services to customer perspective. The proposed research model is tested empirically with one hundred and forty one usable questionnaires and partial least square (PLS) method. Experimental results showed that the usefulness, playfulness, and service quality play a prominent role in influencing the spatial information services satisfaction compared to other factors. But, easy of use and perceived risk are not significant.

Using Spatial Pyramid Based Local Descriptor for Face Recognition (공간 계층적 구조 기반 지역 기술자 활용 얼굴인식 기술)

  • Kim, Kyeong Tae;Choi, Jae Young
    • Journal of Korea Multimedia Society
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    • v.20 no.5
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    • pp.758-768
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    • 2017
  • In this paper, we present a novel method to extract face representation based on multi-resolution spatial pyramid. In our method, a face is subdivided into increasingly finer sub-regions (local regions) and represented at multiple levels of histogram representations. To cope with misaligned problem, patch-based local descriptor extraction has been also developed in a novel way. To preserve multiple levels of detail in local characteristics and also encode holistic spatial configuration, histograms from all levels of spatial pyramid are integrated by using dimensionality reduction and feature combination, leading to our spatial-pyramid face feature representation. We incorporate our proposed face features into general face recognition pipeline and achieve state-of-the-art results on challenging face recognition problems.