• Title/Summary/Keyword: Sensing and Application

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Modulation Transfer Function (MTF) Measurement For 1 m High Resolution Satellite Images such as KOMPSAT-2 U sing Edge Function

  • Song Jeong-Heon;Lee Dong-Han;Lee Sun-Gu;Seo Du-Ceon;Park Soo-Young;Lim Hyo-Suk;Paek Hong-Yul
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.482-484
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    • 2005
  • The Modulation Transfer Function (MTF) is commonly used to characterize the spatial quality of imaging systems. This work is the attempt to measure the MTF at Nyquist frequency of the satellite imaging system what has 1m spatial resolution for KOMPSAT-2 image using the edge function. Artificial tarp targets are used in this study. A type of this tarp edge consists of two adjacent uniform bright and dark sides commonly used to test the performance of an optical system in edge function. The results from this work demonstrate the potential applicability of this method to estimate the response characteristics for KOMPSAT-2 that is scheduled to be launched.

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Application of GeoJSON to Geo-spatial Web Service (지공간정보 웹 서비스에서 GeoJSON 적용)

  • Park, Yong-Jae;Lee, Ki-Won
    • Korean Journal of Remote Sensing
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    • v.24 no.6
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    • pp.613-620
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    • 2008
  • Web on Web 2.0 paradigm is regarded as a kind of platform. Accordingly, users on web can use almost same applications like using certain applications on personal computer, to given purposes. For Web as platform, it needs web-based or web-recognizable file format to communicate or to exchange various information contents and data among applied applications. Text-based JSON is a practical format directly linked Javascript on Web, so that XML-typed data, being previously built, can be possible for tagging process containing JSON format. However, GeoJSON handling geo-spatial data sets is now fledgling stage in standards. Thus, it is not on the practical applicability level, and there are a few tools or open sources for this format. To adopt GeoJSON for the future Geo-web application, users implement GeoJSON parser or apply the server-based open source GIS for their purpose. In this study, a preliminary work for GeoJSON application in Geo-web service carried out using Google Maps API and openlayers library API.

Current Status of Application of KOMPSAT Series (최근 다목적실용위성 시리즈 활용 현황)

  • Lee, Kwang-Jae;Oh, Kwan-Young;Lee, Won-Jin
    • Korean Journal of Remote Sensing
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    • v.36 no.6_2
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    • pp.1485-1492
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    • 2020
  • It has been more than 20 years since the launch of KOMPSAT-1, and so far, a total of 5 satellites have been successfully launched. Until now, KOMPSAT has been used in various fields, including the production of various thematic maps, land change, environmental analysis, and marine monitoring. Many researchers have conducted research to process, analyze, and utilize KOMPSAT images. According to the national space development plan, the KOMPSAT series will be continuously developed to meet the demand for satellite images at the national level. If the ultimate purpose of satellite development is to utilize acquired images, systematic research to effectively utilize the developed satellites should be followed. This special issue introduces the recently conducted research on the use of KOMPSAT images.

VERIFICATION ON THE PERFORMANCE OF COMS SOC S-BANDSSPA

  • Park, Durk-Jong;Yang, Hyung-Mo;Ahn, Sang-Il
    • Proceedings of the KSRS Conference
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    • 2007.10a
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    • pp.482-485
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    • 2007
  • The S-Band SSPA is front-end equipment to transmit both LRIT and HRIT to COMS. To provide the required EIRP, S-Band SSPA is designed to generate maximum 1kW power at its 1dB gain compression point (P1dB). Due to the operation for 24 hours per seven days, the verification on the performance of S-Band SSPA was performed thoroughly. This paper presents that major requirements such as maximum 1kW power, maximum -26dBc of IMD characteristic at 500W output and around -57dBc of coupling factor were verified through proposed test configuration.

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A study on the Application of Living Lab in Transportation : Focused on the Auto-Image Sensing Signal System for Pedestrian (교통분야의 리빙랩 적용사례 연구 : 보행자 자동감지 횡단보도 시스템을 중심으로)

  • Jeon, Nayeoung;Kim, Sujae;Choo, Sangho;Lee, Hyangsook
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.2
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    • pp.1-17
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    • 2018
  • The living lab is a user-participatory innovation space where users can solve problems by themselves. Living Lab members are able to participate in all aspects of product development from technology conception. In this study, to prevent pedestrian accidents, auto-image sensing signal system was developed in Jeonju City, using the Living Lab method. In addition, we measured effectiveness of the auto-image sensing signal system with respect to pedestrian waiting time, pedestrian and driver signal violation, and pedestrian jaywalking. It was also compared the measures before installation, after installation and after applying Living Lab method. As a result, all of the three measures of effectiveness appeared to be more effective after Living Lab than after installation. Overall, this study is very significant in that it is the first case where the living lab is applied in transportation.

Analysis of Payload Technical Specifications for Efficient Agriculture and Forestry Satellite Observation (효율적인 농림업 위성관측을 위한 탑재체 기술사양 분석)

  • Kim, Bum-Seung;Lee, Kyung-Do;Hong, Suk-Young;Lee, Woo-Kyung
    • Korean Journal of Remote Sensing
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    • v.32 no.3
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    • pp.287-305
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    • 2016
  • Over the past half century, satellites have continuously expanded their roles in remote sensing applications. As the number of satellites to be launched are expected to continuously increase in coming years, the research on satellite payloads will be in high demands. Earth Observation (EO) satellites are nowadays widely utilized for various purposes. Especially, Agriculture and forestry applications are considered as their major application areas. Since about 85% of domestic land cover is classified as forest or cropland areas, it would be reasonable to suggest that the demand for these satellites should be of high priority. In this paper, a comprehensive analysis is performed on the technical specifications of satellite payloads that may be applicable to agricultural applications. We attempted to build a solid database on payload specifications by collecting relevant information available from various related institutes and academic research works. A number of experts involved in national agricultural research and satellite development programs have been invited to investigate required payload design. Based on the current technology development status and future plan, multiple options for future satellite payload designs have been suggested bearing in mind that the results may be applicable to the future agriculture and forestry satellite payload design. The proposed payload specifications are analyzed in depth through satellite operation simulations under the mission of observing the national agriculture areas. The proposed design scheme and simulation results may be used as technical references to satellite payload design for future space missions.

Analysis of Tidal Channel Variations Using High Spatial Resolution Multispectral Satellite Image in Sihwa Reclaimed Land, South Korea (고해상도 다분광 인공위성영상자료 기반 시화 간척지 갯골 변화 양상 분석)

  • Jeong, Yongsik;Lee, Kwang-Jae;Chae, Tae-Byeong;Yu, Jaehyung
    • Korean Journal of Remote Sensing
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    • v.36 no.6_2
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    • pp.1605-1613
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    • 2020
  • The tidal channel is a coastal sedimentary terrain that plays the most important role in the formation and development of tidal flats, and is considered a very important index for understanding and distribution of tidal flat sedimentation/erosion terrain. The purpose of this study is to understand the changes in tidal channels by a period after the opening of the floodgate of the seawall in the reclaimed land of Sihwa Lake using KOMPSAT high-resolution multispectral satellite image data and to evaluate the applicability and efficiency of high-resolution satellite images. KOMPSAT 2 and 3 images were used for extraction of the tidal channels' lineaments in 2009, 2014, and 2019 and were applied to supervised classification method based on Principal Component Analysis (PCA), Artificial Neural Net (ANN), Matched Filtering (MF), and Spectral Angle Mapper (SAM) and band ratio techniques using Normalized Difference Water Index (NDWI) and MF/SAM. For verification, a numerical map of the National Geographic Information Service and Landsat 7 ETM+ image data were utilized. As a result, KOMPSAT data showed great agreement with the verification data compared to the Landsat 7 images for detecting a direction and distribution pattern of the tidal channels. However, it has been confirmed that there will be limitations in identifying the distribution of tidal channels' density and providing meaningful information related to the development of the sedimentary process. This research is expected to present the possibility of utilizing KOMPSAT image-based high-resolution remote exploration as a way of responding to domestic intertidal environmental issues, and to be used as basic research for providing multi-platform-image-based convergent thematic maps and topics.

Classification of Industrial Parks and Quarries Using U-Net from KOMPSAT-3/3A Imagery (KOMPSAT-3/3A 영상으로부터 U-Net을 이용한 산업단지와 채석장 분류)

  • Che-Won Park;Hyung-Sup Jung;Won-Jin Lee;Kwang-Jae Lee;Kwan-Young Oh;Jae-Young Chang;Moung-Jin Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.6_3
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    • pp.1679-1692
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    • 2023
  • South Korea is a country that emits a large amount of pollutants as a result of population growth and industrial development and is also severely affected by transboundary air pollution due to its geographical location. As pollutants from both domestic and foreign sources contribute to air pollution in Korea, the location of air pollutant emission sources is crucial for understanding the movement and distribution of pollutants in the atmosphere and establishing national-level air pollution management and response strategies. Based on this background, this study aims to effectively acquire spatial information on domestic and international air pollutant emission sources, which is essential for analyzing air pollution status, by utilizing high-resolution optical satellite images and deep learning-based image segmentation models. In particular, industrial parks and quarries, which have been evaluated as contributing significantly to transboundary air pollution, were selected as the main research subjects, and images of these areas from multi-purpose satellites 3 and 3A were collected, preprocessed, and converted into input and label data for model training. As a result of training the U-Net model using this data, the overall accuracy of 0.8484 and mean Intersection over Union (mIoU) of 0.6490 were achieved, and the predicted maps showed significant results in extracting object boundaries more accurately than the label data created by course annotations.

APPLICATION OF HIGH RESOLUTION SATELLITE IMAGERY ON X3D-BASED SEMANTIC WEB USING SMART GRAPHICS

  • Kim, Hak-Hoon;Lee, Kiwon
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.586-589
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    • 2006
  • High resolution satellite imagery is regarded as one of the important data sets to engineering application, as well as conventional scientific application. However, despite this general view, there are a few target applications using this information. In this study, the possibility for the future wide uses in associated with smart graphics of this information is investigated. The concept of smart graphics can be termed intelligent graphics with XML-based structure and knowledge related to semantic web, which is a useful component for the data dissemination framework model in a multi-layered web-based application. In the first step in this study, high resolution imagery is transformed to GML (Geographic Markup Language)-based structure with attribute schema and geo-references. In the second, this information is linked with GIS data sets, and this fused data set is represented in the X3D (eXtensible 3D), ISO-based web 3D graphic standard, with styling attributes, in the next stop. The main advantages of this approach using GML and X3D are the flourished representations of a source data according to user/clients’ needs and structured 3D visualization linked with other XML-based application. As for the demonstration of this scheme, 3D urban modelling case with actual data sets is presented.

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A Simple Benzimidazole Based Fluorescent Sensor for Ratiometric Recognition of Zn2+ in Water

  • Zhong, Keli;Cai, Mingjun;Hou, Shuhua;Bian, Yanjiang;Tang, Lijun
    • Bulletin of the Korean Chemical Society
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    • v.35 no.2
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    • pp.489-493
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    • 2014
  • A phenylbenzimidazole derivatized sensor (L) that behaves as a ratiometric fluorescent receptor for $Zn^{2+}$ in water has been described. In HEPES buffer at pH 7.4, sensor L displays a weak fluorescence emission band at 367 nm. Upon addition of $Zn^{2+}$, the emission intensity at 367 nm is decreased, concomitantly, a new emission band centered at 426 nm is developed, thus facilitates a ratiometric $Zn^{2+}$ sensing behavior. Sensor L binds $Zn^{2+}$ through a 1:1 binding stoichiometry with high selectivity over other metal cations. Sensor L displays a linear response to $Zn^{2+}$ concentration from 0 to $6.0{\times}10^{-5}M$, sensor L also exhibits high sensitivity to $Zn^{2+}$ with a detection limit of $3.31{\times}10^{-7}M$.