• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.56.2-56
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• 2001

For the improvement of minimum sensing angular velocity of ring laser gyro, the influence of a low-scattering mirror application to laser resonator was investigated. Super polishing technique was employed for the fine mirror substrates of less than 1-${\AA}$-rms roughness. Mirror coating using ion-beam sputtering coating machine produced low-scattering mirror less than 30-ppm scattering. As a result of the mirror application to ring laser, the minimum sensing angular velocity of the gyro was improved down to about 0.1 deg/sec.

• 한국지리정보학회지
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• 제16권4호
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• pp.141-152
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• 2013

2013년 현재 클라우드(Cloud) 컴퓨팅 서비스는 정보통신기술분야의 핵심 기술 동향 중 하나로서 이에 관련된 기술이나 사업 응용 분야가 계속 발전, 확대되고 있다. 이러한 서비스를 개발할 수 있는 기반 요소인 클라우드 플랫폼 중에 하나인 OpenStack은 오픈소스 기반으로 몇 가지의 내부 기술 요소로 이루어져 있고, 서비스 목적에 따라 상업적 플랫폼에 의존하지 않고도 독자적인 공개 및 비공개 클라우드 컴퓨팅 환경을 구축할 수 있는 환경을 제공한다. 이번 연구에서는 위성영상정보 분석처리 시스템을 시범적인 클라우드 서비스 모델로 설정하여 OpenStack을 기반으로 비공개 클라우드 컴퓨팅 환경으로 설계, 구축하는 사례를 제시하고자 하였다. 구현된 서비스는 세부적으로 인스턴스 서버, 웹 서비스, 모바일 앱으로 구분하였다. 인스턴스 서버는 실제 위성영상정보 분석처리, 데이터베이스 등의 기능을 제공하고, 웹 서비스는 사용자로부터 위성영상정보를 저장 및 관리하는 기능을 제공한다. 한편 모바일 앱은 위성영상정보의 시각화 및 분석처리 요청 등의 기능을 수행한다.

• 대한원격탐사학회지
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• 제35권6_1호
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• pp.1011-1030
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• 2019

인공위성 또는 항공기에서 사용되는 원격탐사용 센서는 지구 대기를 통과하는 전자기파를 측정하므로, 지구 대기에 의하여 흡수 또는 산란되는 과정에서 지표면의 정보가 영향을 받게 된다. 인공위성은 탑재센서의 사용목적에 따라 파장범위, 해상도가 다르지만, 공통적으로 지구 표면의 대상의 분광신호를 정확히 측정하기 위하여 대기에 의한 영향을 제거해야 하는 대기보정이 이루어져야 한다. 대기보정의 목적은 원격탐사 영상에서 대기 효과를 제거하여 지표면 반사도 값을 결정하고 지표면의 물리적 매개 변수를 도출하는 것이다. 현재까지 개발된 대기보정 알고리즘은 영상기반의 경험적인 방법 또는 현지 관측 자료를 이용한 간접적인 보정 방법에서 보다 복잡한 복사전달과정을 수치해석적으로 해석하는 직접적인 보정 방법으로 발전해 왔다. 본 연구는 지난 40여년 동안 개발된 대기보정 알고리즘에 대한 연구 기록을 분석함으로써, 대기보정 기술의 현황 및 주요 대기보정 알고리즘에 대한 연구 결과를 체계적으로 정립하여 관련 기술의 현황 및 연구동향을 제시하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.125-127
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• 2004

High-resolution satellite images offer abundance information of the earth surface for remote sensing applications. The information includes geometry, texture and attribute characteristic. The pixel-based image classification can't satisfy high-resolution satellite image's classification precision and produce large data redundancy. Object-oriented information extraction not only depends on spectrum character, but also use geometry and structure information. It can provide an accessible and truly revolutionary approach. Using Beijing Spot 5 high-resolution image and object-oriented classification with the eCognition software, we accomplish the cultures' precise classification. The test areas have five culture types including water, vegetation, road, building and bare lands. We use nearest neighbor classification and appraise the overall classification accuracy. The average of five species reaches 0.90. All of maximum is 1. The standard deviation is less than 0.11. The overall accuracy can reach $95.47\%.$ This method offers a new technology for high-resolution satellite images' available applications in remote sensing culture classification.

• 대한원격탐사학회지
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• 제23권1호
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• pp.21-32
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• 2007

Fire fuel map is one of the most critical factors for planning and managing the fire hazard and risk. However, fuel mapping is extremely difficult because fuel properties vary at spatial scales, change depending on the seasonal situations and are affected by the surrounding environment. Remote sensing has potential to reduce the uncertainty in mapping fuels and offers the best approach for improving our abilities. Especially, Hyperspectral sensor have a great potential for mapping vegetation properties because of their high spectral resolution. The objective of this paper is to evaluate the potential of mapping fuel properties using Hyperion hyperspectral remote sensing data acquired in April, 2002. Fuel properties are divided into four broad categories: 1) fuel moisture, 2) fuel green live biomass, 3) fuel condition and 4) fuel types. Fuel moisture and fuel green biomass were assessed using canopy moisture, derived from the expression of liquid water in the reflectance spectrum of plants. Fuel condition was assessed using endmember fractions from spectral mixture analysis (SMA). Fuel types were classified by fuel models based on the results of SMA. Although Hyperion imagery included a lot of sensor noise and poor performance in liquid water band, the overall results showed that Hyperion imagery have good potential for wildfire fuel mapping.

• 대한원격탐사학회지
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• 제33권6_3호
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• pp.1171-1177
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• 2017

본 특별호는 최근 수행되고 있는 다목적실용위성 영상처리 및 활용연구에 대해서 소개하고 있으며, 사설에서는 다목적실용위성 개발 현황과 국가 위성영상 활용정책을 살펴보고 특별호에 소개된 논문의 의의에 대해서 논하였다. 지속적인 위성개발을 통해 활용 가능한 위성영상 자원과 활용정책은 체계적으로 마련되어 있는 것으로 판단된다. 따라서 본 사설에서 소개된 산림 및 도시 변화탐지, 영상보정 기술 등과 같이 다양한 자료처리 및 활용기술 개발이 지속적으로 이루어진다면 국가 위성영상의 활용 경쟁력은 더욱 강화될 것으로 기대된다.

• Smart Structures and Systems
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• 제22권2호
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• pp.231-237
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• 2018

A significant data problem is encountered with condition monitoring because the sensors need to measure vibration data at a continuous and sometimes high sampling rate. In this study, compressive sensing approaches for condition monitoring are proposed to demonstrate their efficiency in handling a large amount of data and to improve the damage detection capability of the current condition monitoring process. Compressive sensing is a novel sensing/sampling paradigm that takes much fewer data than traditional data sampling methods. This sensing paradigm is applied to condition monitoring with an improved machine learning algorithm in this study. For the experiments, a built-in rotating system was used, and all data were compressively sampled to obtain compressed data. The optimal signal features were then selected without the signal reconstruction process. For damage classification, we used the Variance Considered Machine, utilizing only the compressed data. The experimental results show that the proposed compressive sensing method could effectively improve the data processing speed and the accuracy of condition monitoring of rotating systems.

• 대한원격탐사학회지
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• 제22권5호
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• pp.367-372
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• 2006

Cloud detection algorithm is being developed as primary one of the 16 baseline products of CMDPS (COMS Meteorological Data Processing System), which is under development for the real-time application of data will be observed from COMS Meteorological Imager. For cloud detection from satellite data, we studied two different algorithms. One is threshold technique based algorithm, which is traditionally used, and another is artificial neural network model. MPEF scene analysis algorithm is the basic idea of threshold cloud detection algorithm, and some modifications are conducted for COMS. For the neural network, we selected MLP with back-propagation algorithm. Prototype software of each algorithm was completed and evaluated by using the MTSAT-IR and GOES-9 data. Currently the software codes are standardized using Fortran90 language. For the preparation as an operational algorithm, we will setup the validation strategy and tune up the algorithm continuously. This paper shows the outline of the two cloud detection algorithms and preliminary test results of both algorithms.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.825-827
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• 2003

Multi-Spectral Camera(MSC) is a payload on the KOMPSAT-2 satellite to perform the earth remote sensing. The instrument images the earth using a push-broom motion with a swath width of 15 km and a ground sample distance (GSD) of 1 m over the entire field of view (FOV) at altitude 685 Km. The instrument is designed to have an on-orbit operation duty cycle of 20% over the mission lifetime of 3 years with the functions of programmable gain/ offset and on-board image data compression/storage. The MSC instrument has one(1) channel for panchromatic imaging and four(4) channel for multi-spectral imaging covering the spectral range from 450nm to 900nm using TDI CCD Focal Plane Array (FPA). In this paper, the architecture and function of MSC hardware including electrical interface and the operation concept which have been established based on the mission requirements are described. And the design and the preparation of MSC system operation are analyzed and discussed.

• 한국지구과학회지
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• 제40권4호
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• pp.329-339
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• 2019

Arctic warming is a global issue. The sea ice in the Arctic plays a crucial role in the climate system. We thought that a recent abnormality in many countries in the northern hemisphere could be related to the effects of shrinking sea ice in the Arctic. Many research groups monitor sea ice in the Arctic for climate research. Satellite remote sensing is an integral part of Arctic sea ice research due to the Arctic's large size, making it difficult to observe with general research equipment, and its extreme environment that is difficult for humans to access. Along with monitoring recent weather changes, Korea scientists are conducting polar remote sensing using a Korean satellite series to actively cope with environmental changes in the Arctic. The Korean satellite series is known as KOMPSAT (Korea Multi-Purpose Satellite, Korean name is Arirang) series, and it carries optical and imaging radar. Since the organization of the Satellite Remote Sensing and Cryosphere Information Center in Korea in 2016, Korean research on and monitoring of Arctic sea ice has accelerated rapidly. Moreover, a community of researchers studying Arctic sea ice by satellite remote sensing increased in Korea. In this article, we review advances in Korea's remote sensing research for the polar cryosphere over the last several years. In addition to satellite remote sensing, interdisciplinary studies are needed to resolve the current limitations on research on climate change.