• Title/Summary/Keyword: 원격탐사자료

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공간 지역 확장과 계층 연결 기법을 이용한 무감독 영상 분류

  • 이상훈
    • Proceedings of the KSRS Conference
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    • 2001.03a
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    • pp.25-33
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    • 2001
  • 본 연구는 무감독 영상 분류를 위하여 지역 확장 영상 분할과 계층 연결 영상 분류를 포함하는 다중 단계 기법을 제안하고 있다. 모의 자료를 사용하여 제안된 알고리듬 대한 평가와 효율성에 대한 검증을 하였다.

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Statistical ratio based classification of multi-temporal/sensor remote sensing data (다중 시기/센서 원격탐사 자료의 통계비 기반 분류)

  • Park No-Wook;Chi Kwang-Hoon
    • Proceedings of the KSRS Conference
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    • 2006.03a
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    • pp.3-6
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    • 2006
  • 이 연구에서는 다중 센서 융합과 시간적 문맥 정보의 결합을 통한 분류 정확도 향상을 목적으로 통계비 기반 결정수준 융합 기법을 제안하였다. 다중 센서 융합을 목적으로 개별 센서 자료로부터 얻어진 사후 확률의 결합에 기존 확률론적 자료 융합에서 널리 사용되어온 조건부 독립의 가정을 완화한 통계비 기반 결합 규칙을 적용하였다. 그리고 시간적 문맥 정보를 새로운 정보 근원으로 간주하고 이전 시기 자료의 분류결과로부터 추출 및 결합하였다. 이 제안기법은 통계비 기반의 틀 안에서 다중 센서의 분광정보 및 시간적 문맥 정보의 결합이 용이한 장점이 있다 제안기법의 적용성 평가를 위해 다중 시기/센서 융합의 사례연구를 수행하였다.

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위성영상 활용 검증 사이트 구축 및 운영 현황

  • Lee, Gwang-Jae;Yun, Bo-Yeol;Kim, Yun-Su;Kim, Yong-Seung
    • Current Industrial and Technological Trends in Aerospace
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    • v.4 no.1
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    • pp.92-99
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    • 2006
  • 지구관측위성을 통해 획득되는 다양한 원격탐사 자료는 정부 및 공공기관 등 공공의 업무에 매우 유용한 각종 주제정보를 제공하며, 이는 상업적 지구관측 자료의 활용 및 판매 증대 등으로 나타나고 있다. 그러나 이와 같은 위성원격탐사 자료를 이용하여 생성되는 다양한 주제정보는 그 신뢰성에 대한 명확한 검증작업을 거친 후에야 활용이 가능하다. 이를 위하여 우주개발 선진국의 경우 위성발사 초기단계에서부터 주기적으로 영상자료에 대한 검․보정 활동을 체계적으로 수행함과 동시에 그 활용 결과물을 검증하고 실제 적용하기 위한 다양한 지상 검증 사이트를 구축하여 운영하고 있다. 본 논문에서는 해외 위성영상 활용 검증 사이트의 구축 현황과 운영 실태 등에 대하여 서술하고자 한다.

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The Analysis of Flood in an Ungauged Watershed using Remotely Sensed and Geospatial Datasets (I) - Focus on Estimation of Flood Discharge - (원격탐사와 공간정보를 활용한 미계측 유역 홍수범람 해석에 관한 연구(I) - 홍수량 산정을 중심으로 -)

  • Son, Ahlong;Kim, Jongpil
    • Korean Journal of Remote Sensing
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    • v.35 no.5_2
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    • pp.781-796
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    • 2019
  • This study attempted to simulate the flood discharge in the Duman River basin containing Hoeryong City and Musan County of North Korea where were damaged from Typhoon Lionrock on August, 2016. For hydrological modelling remotely sensed datasets were used to estimate watershed properties and hydrologic factors because the basin is ungauged where hydrological observation is not exist or sparse. For validation we applied our methodology and datasets to the Soyanggang Dam basin. It has not only similar shape factor and compactness ratio to those of the target basin but also accurate, adequate, and abundant measurements. The results showed that the flood discharge from Typhoon Lionrock corresponded to three to five years design floods in the Duman River basin. This indicate that the Duman River basin has a high risk of flood in the near future. Finally this study demonstrated that remotely sensed data and geographic information could be utilized to simulate flood discharge in an ungauged watershed.

Disaster Prediction, Monitoring, and Response Using Remote Sensing and GIS (원격탐사와 GIS를 이용한 재난 예측, 감시 및 대응)

  • Kim, Junwoo;Kim, Duk-jin;Sohn, Hong-Gyoo;Choi, Jinmu;Im, Jungho
    • Korean Journal of Remote Sensing
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    • v.38 no.5_2
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    • pp.661-667
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    • 2022
  • As remote sensing and GIS have been considered to be essential technologies for disasters information production, researches on developing methods for analyzing spatial data, and developing new technologies for such purposes, have been actively conducted. Especially, it is assumed that the use of remote sensing and GIS for disaster management will continue to develop thanks to the launch of recent satellite constellations, the use of various remote sensing platforms, the improvement of acquired data processing and storage capacity, and the advancement of artificial intelligence technology. This spatial issue presents 10 research papers regarding ship detection, building information extraction, ocean environment monitoring, flood monitoring, forest fire detection, and decision making using remote sensing and GIS technologies, which can be applied at the disaster prediction, monitoring and response stages. It is anticipated that the papers published in this special issue could be a valuable reference for developing technologies for disaster management and academic advancement of related fields.

Land Use Classification in the Seoul Metropolitan Region - An Application of Remote Sensing - (인공위성 영상자료를 이용한 수도권 토지이용 실태분석)

  • 김영표;김순희
    • Spatial Information Research
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    • v.2 no.2
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    • pp.135-145
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    • 1994
  • The primary purpose of this study is, using Landsat remote sensing data and a image processing software, ERDAS, to generate real data and image photographs on physical land use of the Seoul metropolitan region. The remote sensing data used in this study are Landsat MSS data (August 28, 1979) and TM data (May 31, 1991) which cover the Seoul metropolitan region of Korea. The spatial resolutions of MSS data and TM data are 57m X 79m and 30m X 30m respectively. In addition, this study aims at contrasting urbanization phases of the Seoul metropolitan region in 1979 with those in 1991, by making image photographs and statistics on physical land use. Summing up the major results, built-up area ratio within the Seoul city had been expanded from 41.9% in 1979 to 64.5% in 1991 and that within the radius of 40km of Seoul city hall had been expanded from 10.5% In 1979 to 19.8% in 1991. The data and technique developed in this study could serve as a useful tool in making various kinds of spatial plannings, that is, urban and regional planning, selection of optimal new town location, evaluation of public facilities location alternatives, etc..

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A Study on the Application of NOAA/AVHRR Data -Analysis of cloud top and surface temperature,albedo,sea surface temperature, vegetation index, forest fire and flood- (NOAA/AVHRR 자료 응용기법 연구 - 운정.지표온도, 반사도, 해수면 온도, 식생지수, 산불, 홍수 분석 -)

  • 이미선;서애숙;이충기
    • Korean Journal of Remote Sensing
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    • v.12 no.1
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    • pp.60-80
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    • 1996
  • AVHRR(Advanced Very High Resolution Radiometer) on NOAA satellite provides data in five spectral, one in visible range, one in near infrared and three in thermal range. In this paper, application of NOAA/AVHRR data is studied for environment monitoring such as cloud top temperature, surface temperature, albedo, sea surface temperature, vegetation index, forest fire, flood, snow cover and so on. The analyses for cloud top temperature, surface temperature, albedo, sea surface temperature, vegetation index and forest fire showed reasonable agreement. But monitoring for flood and snow cover was uneasy due to the limitations such as cloud contamination, low spatial resolution. So this research had only simple purpose to identify well-defined waterbody for dynamic monitoring of flood. Based on development of these basic algorithms, we have a plan to further reseach for environment monitoring using AVHRR data.