• Title, Summary, Keyword: EOC

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Unsupervised Change Detection Using Iterative Mixture Density Estimation and Thresholding

  • Park, No-Wook;Chi, Kwang-Hoon
    • Proceedings of the KSRS Conference
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    • pp.402-404
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    • 2003
  • We present two methods for the automatic selection of the threshold values in unsupervised change detection. Both methods consist of the same two procedures: 1) to determine the parameters of Gaussian mixtures from a difference image or ratio image, 2) to determine threshold values using the Bayesian rule for minimum error. In the first method, the Expectation-Maximization algorithm is applied for estimating the parameters of the Gaussian mixtures. The second method is based on the iterative thresholding that successively employs thresholding and estimation of the model parameters. The effectiveness and applicability of the methods proposed here are illustrated by an experiment on the multi-temporal KOMPAT-1 EOC images.

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Standardizing Agriculture-related Information Scheme at Various Spatial Resolutions of Remote Sensor Data

  • Kim, Seong J.;Jung, In K.
    • Proceedings of the KSRS Conference
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    • pp.561-563
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    • 2003
  • This study is to present a standardized scheme for providing agriculture-related information at various spatial resolutions of satellite images including LANDSAT +ETM, KOMPSAT-1 EOC, ASTER VNIR and IKONOS panchromatic (Pan) and multi-spectral (M/S) images. The satellite images were interpreted especially for identifying agricultural areas, crop types, agricultural facilities and structures. The results were compared with the land cover/land use classification system suggested by Ministry of Construction & Transportation based on NGIS (National Geographic Information System) and Ministry of Environment based on satellite remote sensing data. The results by IKONOS image will be provided to KOMPSAT-2 project for agricultural application.

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A study of Land-Cover Classification technique Using Fuzzy C-Mean Algorithm (Fuzzy C-Mean 알고리즘을 이용한 토지피복분류기법 연구)

  • 신석효;안기원;이주원;김상철
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • pp.267-273
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    • 2004
  • The advantage of the remote sensing is extraction the information of wide area rapidly. Such advantage is the resource and environment are quick and efficient method to grasps accurately method through the land cover classification of wide area. Accordingly this study is used to the high-resolution (6.6m) Electro-Optical Camera (EOC) panchromatic image of the first Korea Multi-Purpose Satellite 1 (KOMPSAT-1) and the multi-spectral Moderate Resolution Imaging Spectroradiometer (MODIS) image data(36 bands).We accomplished FCM classification technique with MLC technique to be general land cover classification method in the content of research. And evaluated the accuracy assessment of two classification method.

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High-resolution Land Cover Mapping of Rural Area Using IKONOS Imagery (IKONOS 영상을 이용한 고해상도 토지피복도 작성)

  • Hong, Seong Min;Jung, In Kyun;Kim, Seong Joon
    • Proceedings of the Korea Water Resources Association Conference
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    • pp.1271-1275
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    • 2004
  • The purpose of this study is to present a standardized scheme for providing agriculture-related information at various spatial resolutions of satellite images including Landsat +ETM, KOMPSAT-1 EOC, ASTER VNIR, and IKONOS panchromatic and multi-spectral images. The satellite images were interpreted especially for identifying agricultural areas, crop types, agricultural facilities and structures. The results were compared with the land cover/land use classification system suggested by Ministry of Construction & Transportation based on NGIS (National Geographic Information System) and Ministry of Environment based on satellite remote sensing data. As a result, high-resolution agricultural land cover map from IKONOS imageries was made out. The results by IKONOS image will be provided to KOMPSAT-2 project for agricultural application.

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기하보정 방법에 따른 광학영상자료의 지형효과 분석

  • 이성순;지광훈
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • pp.251-254
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    • 2004
  • 최근 인공위성 영상자료의 해상도가 높아짐에 따라 영상을 통해 얻을 있는 정보의 양이 증가하고 있다. 영상의 식별력이 증가함으로써 영상에서 얻을 수 있는 정보량이 증가하지만 그와 함께 정보의 질이 향상되었다고 판단하기는 어렵기 때문에 지형과 영상의 정밀보정은 매우 중요하다 특히, 광학센서 기반의 인공위성 자료는 영상자료의 공간해상도 뿐만 아니라 촬영시기, 지형형태 둥 많은 내ㆍ외부 조건에 따른 특성을 가지고 있다. 이러한 특성은 표고가 높은 지형에서 더욱 크게 영향 받는다. 이에 본 연구에서는 Kompsat EOC 및 Spot-5 등 다양한 광학위성 센서에 대한 지형효과 특성을 위성의 기하정보 등록방법에 따라 분석함으로써 자료 이용의 효용성 제고에 기여하고자 한다.

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Standardizing Agriculture-related Land Cover Classification Scheme Using IKONOS Satellite Imagery (IKONOS 영상자료를 이용한 농업관련 토지피복 분류기준 설정 연구)

  • 홍성민;정인균;김성준
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • pp.261-265
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    • 2004
  • The purpose of this study is to present a standardized scheme for providing agriculture-related information at various spatial resolutions of satellite images including Landsat+ETM, KOMPSAT-1 EOC, ASTER VNIR, and IKONOS panchromatic and multi-spectral images. The satellite images were interpreted especially for identifying agricultural areas, crop types, agricultural facilities and structures. The results were compared with the land cover/land use classification system suggested by Ministry of Construction & Transportation based on NGIS (National Geographic Information System) and Ministry of Environment based on satellite remote sensing data. As a result, high-resolution agricultural land cover map from IKONOS imageries was made out. The results by IKONOS image will be provided to KOMPSAT-2 project for agricultural application.

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Analysis of Daejeon Metropolitan City′s Urbanized Area Change Pattern using Remotely Sensed Imagery (위성자료를 이용한 대전시 도시지역 변화특성 연구)

  • 김윤수;이광재
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • pp.279-285
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    • 2004
  • 도시라는 광역지역의 확장을 분석하는데 위성자료는 매우 유용한 정보를 제공한다. 특히 한국항공우주연구원에서 운용중인 다목적 실용위성(KOMPSAT) 1호 영상자료는 해상도가 높아 도시지역의 분석에 유용한 정보를 제공하고 있으며, 과거의 항공사진 등을 복합적으로 활용한다면 도시의 확장 과정에 대한 시계열 분석이 가능하다. 도시의 확장 과정을 분석하여 그 정보를 추출하는 것은 새로운 도시계획을 위한 필수적인 기본 자료를 구축하는 중요한 역할을 할 수 있으며, 특히 2003년 개정 시행중인 국토의 계획 및 이용에 관한 법률은 도시기본계획 수립에 있어 도시의 성장 경향 등에 관한 기초조사를 의무화한 토지적성평가 제도를 도입하고 있다. 본 연구에서는 다목적 실용위성 1호 EOC 영상과 기타 원격탐사 자료를 복합적으로 활용하여 대전광역시 도시화 지역의 확장 추이를 분석하고 그 경향과 특성을 도출해 도시계획 수립에 원격탐사 자료를 활용할 수 있는 가능성을 제시해 보고자 한다.

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CROP MANAGEMENT SYSTEM BASED ON HIGH SPATIAL RESOLUTION IMAGES

  • Kim Seong Joon;Kwon Hyung Joong;Park GeunAe;Lee Mi Seon
    • Proceedings of the KSRS Conference
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    • pp.257-259
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    • 2005
  • A crop management system was developed using Visual Basic and ArcGIS VBA. The system is operated on ArcGlS 8.3 with Microsoft Access MOB. Landsat +ETM, KOMPSAT-l EOC, ASTER VNIR and IKONOS panchromatic (pan) and multi-spectral (MIS) images were included in the system to understand what kind of agriculture-related information can be extracted for each images. Agriculture related data inventories using crop cover information such as texture and average pixel value of the crop based on cultivation calendar were designed ,and implemented. Three IKONOS images (May 25,2001, December 25,2001, October 23,2003) were loaded in the system to show crop cover characteristics such as rice, pear, grape, red pepper, garlic, and surface water cover of reservoir with field surveys. GIS layers such as DEM (Digital Elevation Model), stream, road, soil, land use and administration boundary were also supplied and can be overlaid with images to enhance the understanding the general agricultural characteristics and identifying the location easily.

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The operational model for the emergency field management system based on SOP (SOP 기반 재난 현장 관리 모델 연구)

  • Lee, ChangYeol;Park, Giljoo;Kim, Young-Chan;Kim, Jun Gon;Kim, TaeHwan;Lee, JungHun
    • Proceedings of the Korean Society of Disaster Information Conference
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    • pp.215-216
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    • 2017
  • NDMS(통합재난안전정보체계)는 재난이 발생하였을 때 필요한 상황 정보를 수집하여 제공하는 상황관리시스템이 있어서 재난 상황에 대한 판단, 지휘 등을 할 수 있게 한다. 이러한 기능을 가진 지자체를 위한 대표적 시스템인 SBB가 있지만, 이는 단순히 상황 정보를 연계해서 볼 수 있는 프레임만 제공하고 있다. 실제적으로 비상조직의 실무팀에 지시를 하고, 보고를 받고 하는 기능이 추가로 포함된 미국의 WebEOC에 해당되는 기능적 시스템이 필요한 상태이다. 본 연구는 이러한 관점에서 국내 상황에 맞는 현장 관리 모델을 제시하였다.

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DETECTING LANDSLIDE LOCATION USING KOMSAT 1AND IT'S USING LANDSLIDE-SUSCEPTIBILITY MAPPING

  • Lee, Sa-Ro;Lee, Moung-Jin
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.840-843
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    • 2006
  • The aim of this study was to detect landslide using satellite image and apply the landslide to probabilistic landslide-susceptibility mapping at Gangneung area, Korea using a Geographic Information System (GIS). Landslide locations were identified by change detection technique of KOMSAT-1 (Korea Multipurpose Satellite) EOC (Electro Optical Camera) images and checked in field. For landslide-susceptibility mapping, maps of the topography, geology, soil, forest, lineaments, and land cover were constructed from the spatial data sets. Then, the sixteen factors that influence landslide occurrence were extracted from the database. Using the factors and detected landslide, the relationships were calculated using frequency ratio, one of the probabilistic model. Then, landslide-susceptibility map was drawn using the frequency ration and finally, the map was verified by comparing with existing landslide locations. As the verification result, the prediction accuracy showed 86.76%. The landslide-susceptibility map can be used to reduce hazards associated with landslides and to land cover planning.

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