• Title/Summary/Keyword: 우주 탐사

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Descent Dataset Generation and Landmark Extraction for Terrain Relative Navigation on Mars (화성 지형상대항법을 위한 하강 데이터셋 생성과 랜드마크 추출 방법)

  • Kim, Jae-In
    • Korean Journal of Remote Sensing
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    • v.38 no.6_1
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    • pp.1015-1023
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    • 2022
  • The Entry-Descent-Landing process of a lander involves many environmental and technical challenges. To solve these problems, recently, terrestrial relative navigation (TRN) technology has been essential for landers. TRN is a technology for estimating the position and attitude of a lander by comparing Inertial Measurement Unit (IMU) data and image data collected from a descending lander with pre-built reference data. In this paper, we present a method for generating descent dataset and extracting landmarks, which are key elements for developing TRN technologies to be used on Mars. The proposed method generates IMU data of a descending lander using a simulated Mars landing trajectory and generates descent images from high-resolution ortho-map and digital elevation map through a ray tracing technique. Landmark extraction is performed by an area-based extraction method due to the low-textured surfaces on Mars. In addition, search area reduction is carried out to improve matching accuracy and speed. The performance evaluation result for the descent dataset generation method showed that the proposed method can generate images that satisfy the imaging geometry. The performance evaluation result for the landmark extraction method showed that the proposed method ensures several meters of positioning accuracy while ensuring processing speed as fast as the feature-based methods.

A Case Study of Land-cover Classification Based on Multi-resolution Data Fusion of MODIS and Landsat Satellite Images (MODIS 및 Landsat 위성영상의 다중 해상도 자료 융합 기반 토지 피복 분류의 사례 연구)

  • Kim, Yeseul
    • Korean Journal of Remote Sensing
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    • v.38 no.6_1
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    • pp.1035-1046
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    • 2022
  • This study evaluated the applicability of multi-resolution data fusion for land-cover classification. In the applicability evaluation, a spatial time-series geostatistical deconvolution/fusion model (STGDFM) was applied as a multi-resolution data fusion model. The study area was selected as some agricultural lands in Iowa State, United States. As input data for multi-resolution data fusion, Moderate Resolution Imaging Spectroradiometer (MODIS) and Landsat satellite images were used considering the landscape of study area. Based on this, synthetic Landsat images were generated at the missing date of Landsat images by applying STGDFM. Then, land-cover classification was performed using both the acquired Landsat images and the STGDFM fusion results as input data. In particular, to evaluate the applicability of multi-resolution data fusion, two classification results using only Landsat images and using both Landsat images and fusion results were compared and evaluated. As a result, in the classification result using only Landsat images, the mixed patterns were prominent in the corn and soybean cultivation areas, which are the main land-cover type in study area. In addition, the mixed patterns between land-cover types of vegetation such as hay and grain areas and grass areas were presented to be large. On the other hand, in the classification result using both Landsat images and fusion results, these mixed patterns between land-cover types of vegetation as well as corn and soybean were greatly alleviated. Due to this, the classification accuracy was improved by about 20%p in the classification result using both Landsat images and fusion results. It was considered that the missing of the Landsat images could be compensated for by reflecting the time-series spectral information of the MODIS images in the fusion results through STGDFM. This study confirmed that multi-resolution data fusion can be effectively applied to land-cover classification.

Development of Mid-range Forecast Models of Forest Fire Risk Using Machine Learning (기계학습 기반의 산불위험 중기예보 모델 개발)

  • Park, Sumin;Son, Bokyung;Im, Jungho;Kang, Yoojin;Kwon, Chungeun;Kim, Sungyong
    • Korean Journal of Remote Sensing
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    • v.38 no.5_2
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    • pp.781-791
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    • 2022
  • It is crucial to provide forest fire risk forecast information to minimize forest fire-related losses. In this research, forecast models of forest fire risk at a mid-range (with lead times up to 7 days) scale were developed considering past, present and future conditions (i.e., forest fire risk, drought, and weather) through random forest machine learning over South Korea. The models were developed using weather forecast data from the Global Data Assessment and Prediction System, historical and current Fire Risk Index (FRI) information, and environmental factors (i.e., elevation, forest fire hazard index, and drought index). Three schemes were examined: scheme 1 using historical values of FRI and drought index, scheme 2 using historical values of FRI only, and scheme 3 using the temporal patterns of FRI and drought index. The models showed high accuracy (Pearson correlation coefficient >0.8, relative root mean square error <10%), regardless of the lead times, resulting in a good agreement with actual forest fire events. The use of the historical FRI itself as an input variable rather than the trend of the historical FRI produced more accurate results, regardless of the drought index used.

Assessment of the Coupled Electric-Thermal Numerical Model for Microwave Sintering of KLS-1 (한국형 인공월면토(KLS-1) 마이크로파 소결을 위한 전기장-열 연계해석 모델 평가)

  • Jin, Hyunwoo;Go, Gyu-Hyun;Lee, Jangguen;Shin, Hyu-Soung;Kim, Young-Jae
    • Journal of the Korean Geotechnical Society
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    • v.38 no.5
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    • pp.35-46
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    • 2022
  • The in-situ resource utilization (ISRU) for sustainable lunar surface and deep space explorations has recently gained attention. Also, research on the development of construction material preparation technology using lunar regolith is in progress. Microwave sintering technology for construction material preparation does not require a binder and is energy efficient. This study applies microwave sintering technology to KLS-1, a Korean lunar simulant. It is crucial to secure the homogeneity to produce a sintered specimen for construction material. Therefore, understanding the interactions between microwaves, cavities, and raw materials is required. Using a numerical model in terms of efficient assessment of several cases and establishment of equipment operating conditions is a very efficient approach. Therefore, this study also proposes and verifies a coupled electric-thermal numerical model through cross-validation and comparison with experimental results. The numerical model proposed in this study will be used to present an efficient method for producing construction material using microwave sintering technology.

Improvement of GOCI-II Ground System for Monitoring of Level-1 Data Quality (천리안 해양위성 2호 Level-1 영상의 품질관리를 위한 지상국 시스템 개선)

  • Sun-Ju Lee;Kum-Hui Oh;Gm-Sil Kang;Woo-Chang Choi;Jong-Kuk Choi;Jae-Hyun Ahn
    • Korean Journal of Remote Sensing
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    • v.39 no.6_2
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    • pp.1529-1539
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    • 2023
  • The data from Geostationary Ocean Color Imager-II (GOCI-II), which observes the color of the sea to monitor marine environments, undergoes various correction processes in the ground station system, producing data from Raw to Level-2 (L2). Quality issues arising at each processing stage accumulate step by step, leading to an amplification of errors in the satellite data. To address this, improvements were made to the GOCI-II ground station system to measure potential optical quality and geolocation accuracy errors in the Level-1A/B (L1A/B) data. A newly established Radiometric and Geometric Performance Assessment Module (RGPAM) now measures five optical quality factors and four geolocation accuracy factors in near real-time. Testing with GOCI-II data has shown that RGPAM's functions, including data processing, display and download of measurement results, work well. The performance metrics obtained through RGPAM are expected to serve as foundational data for real-time radiometric correction model enhancements, assessment of L1 data quality consistency, and the development of reprocessing strategies to address identified issues related to the GOCI-II detector's sensitivity degradation.

Detection of Titanium bearing Myeonsan Formation in the Joseon Supergroup based on Spectral Analysis and Machine Learning Techniques (분광분석과 기계학습기법을 활용한 조선누층군 타이타늄 함유 면산층 탐지)

  • Park, Chanhyeok;Yu, Jaehyung;Oh, Min-Kyu;Lee, Gilljae;Lee, Giyeon
    • Economic and Environmental Geology
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    • v.55 no.2
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    • pp.197-207
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    • 2022
  • This study investigated spectroscopic exploration of Myeonsan formation, the titanium(Ti) ore hostrock, in Joseon supergroup based on machine learning technique. The mineral composition, Ti concentration, spectral characteristics of Myeonsan and non-Myeonsan formation of Joseon supergroup were analyzed. The Myeonsan formation contains relatively larger quantity of opaque minerals along with quartz and clay minerals. The PXRF analysis revealed that the Ti concentration of Myeosan formation is at least 10 times larger than the other formations with bi-modal distribution. The bi-modal concentration is caused by high Ti concentrated sandy layer and relatively lower Ti concentrated muddy layer. The spectral characteristics of Myeonsan formation is manifested by Fe oxides at near infrared and clay minerals at shortwave infrared bands. The Ti exploration is expected to be more effective on detection of hostrock rather than Ti ore because ilmenite does not have characteristic spectral features. The random-forest machine learning classification detected the Myeonsan fomation at 85% accuracy with overall accuracy of 97%, where spectral features of iron oxides and clay minerals played an important role. It indicates that spectral analysis can detect the Ti host rock effectively, and can contribute for UAV based remote sensing for Ti exploration.

Scientific Objectives and Mission Design of Ionospheric Anomaly Monitoring by Magnetometer And Plasma-Probe (IAMMAP) for a Sounding Rocket in Low-Altitude Ionosphere (저고도 전리권 관측을 위한 사운딩 로켓 실험용 IAMMAP(Ionospheric Anomaly Monitoring by Magnetometer And Plasma-Probe)의 과학적 목표와 임무 설계)

  • Jimin Hong;Yoon Shin;Sebum Chun;Sangwoo Youk;Jinkyu Kim;Wonho Cha;Seongog Park;Seunguk Lee;Suhwan Park;Jeong-Heon Kim;Kwangsun Ryu
    • Journal of Space Technology and Applications
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    • v.4 no.2
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    • pp.153-168
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    • 2024
  • Sounding rockets are cost-effective and rapidly deployable tools for directly exploring the ionosphere and microgravity environments. These rockets achieve their target altitudes quickly and are equipped with various scientific instruments to collect real-time data. Perigee Aerospace plans its inaugural test launch in the first half of 2024, followed by a second performance test launch in January 2025. The second launch, scheduled off the coast of Jeju Island, aims to reach an altitude of approximately 150 km with a payload of 30 kg, conducting various experiments in the suborbital region. Particularly in mid-latitude regions, the ionosphere sporadically exhibits increased electron densities in the sporadic E layers and magnetic fluctuations caused by the equatorial electrojet. To measure these phenomena, the sounding rocket version of ionospheric anomaly monitoring by magnetometer and plasma-probe (IAMMAP), currently under development at the KAIST Satellite Research Center, will be onboard. This study focuses on enhancing our understanding of the mid-latitude ionosphere and designing observable missions for the forthcoming performance tests.

DEVELOPMENT OF A LYMAN-α IMAGING SOLAR TELESCOPE FOR THE SATELLITE (인공위성 탑재용 자외선 태양카메라(LIST) 개발)

  • Jang, M.;Oh, H.S.;Rim, C.S.;Park, J.S.;Kim, J.S.;Son, D.;Lee, H.S.;Kim, S.J.;Lee, D.H.;Kim, S.S.;Kim, K.H.
    • Journal of Astronomy and Space Sciences
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    • v.22 no.3
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    • pp.329-352
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    • 2005
  • Long term observations of full-disk Lyman-o irradiance have been made by the instruments on various satellites. In addition, several sounding rockets dating back to the 1950s and up through the present have measured the $Lyman-{\alpha}$ irradiance. Previous full disk $Lyman-{\alpha}$ images of the sun have been very interesting and useful scientifically, but have been only five-minute 'snapshots' obtained on sounding rocket flights. All of these observations to date have been snapshots, with no time resolution to observe changes in the chromospheric structure as a result of the evolving magnetic field, and its effect on the Lyman-o intensity. The $Lyman-{\alpha}$ Imaging Solar Telescope(LIST) can provide a unique opportunity for the study of the sun in the $Lyman-{\alpha}$ region with the high time and spatial resolution for the first time. Up to the 2nd year development, the preliminary design of the optics, mechanical structure and electronics system has been completed. Also the mechanical structure analysis, thermal analysis were performed and the material for the structure was chosen as a result of these analyses. And the test plan and the verification matrix were decided. The operation systems, technical and scientific operation, were studied and finally decided. Those are the technical operation, mechanical working modes for the observation and safety, the scientific operation and the process of the acquired data. The basic techniques acquired through the development of satellite based solar telescope are essential for the construction of space environment forecast system in the future. The techniques which we developed through this study, like mechanical, optical and data processing techniques, could be applied extensively not only to the process of the future production of flight models of this kind, but also to the related industries. Also, we can utilize the scientific achievements which are obtained throughout the project And these can be utilized to build a high resolution photometric detectors for military and commercial purposes. It is also believed that we will be able to apply several acquired techniques for the development of the Korean satellite projects in the future.

50 W 급 저전력 원통형 이온빔 소스의 개발 및 연구

  • Kim, Ho-Rak;Lee, Seung-Hun;Im, Yu-Bong;Kim, Jun-Beom;Choe, Won-Ho
    • Proceedings of the Korean Vacuum Society Conference
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    • 2016.02a
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    • pp.192.2-192.2
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    • 2016
  • 전기추력기는 화학식 추력기에 비해 비추력이 높아 인공위성의 자세제어, 궤도수정, 궤도천이를 포함한 행성 탐사활동 및 우주 임무수행을 위한 우주선의 엔진 등으로 다양하게 활용된다. 홀 추력기는 전기추력기 중 하나로 고리형 방전공간을 가진 고리형 추력기와 원통형 방전영역을 가진 원통형 추력기가 있으며, 원통형 추력기는 고리형에 비하여 넓은 방전공간으로 저전력 방전에 적합한 추력기이다. 또한, 저전력 추력기는 큐브셋(cubesat) 및 마이크로 위성(microsatellite)의 증가하는 수요에 따라 필요성이 증가하고 있으며, 활용도가 높아 다양하게 연구 및 개발되고 있다. 홀 추력기는 자기장과 전기장을 서로 수직되게 인가하여, 자화된 전자는 플라즈마 방전을 유지시키고 자화되지 않은 이온은 전기장 방향으로 가속되어 이온빔을 발생시킨다. 하지만, 저전력 소형 추력기는 작은 소모전력과 방전채널로 인한 성능 저하 및 자기장 구조 설계 등 많은 어려움들을 가지고 있다. 본 연구에서는, 약 50 W급의 소모전력을 바탕으로 영구자석을 이용한 저전력 플라즈마 추력기를 개발하였다. 방전 채널은 지름 15 mm, 길이 16 mm, 무게는 약 0.6 kg으로 원통형 구조의 채널로 제작되었으며, 약 1500-2000 G의 자기장 세기를 갖도록 설계하였다. 방전 기체는 제논을 사용하여 1-5 sccm영역에서 방전 특성을 살펴보았으며, 방전 전류는 0.02-0.4 A로 나타났다. 100-550 V영역에서 방전을 시도하였고, 채널길이를 16-24 mm 에서 약 1mN 급의 추력특성을 보였다. 본 발표에서, 홀 추력기의 제작 특성과 성능 및 플라즈마 특성에 대한 더 자세한 연구결과가 발표될 예정이다.

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Development Status and Study of the Sounding Rocket (Sounding Rocket의 국내외 개발 현황 및 고찰)

  • Kim, Jin-Yong;Lee, Won-Bok;Suh, Hyuk;Rhee, Young-Woo
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2009.05a
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    • pp.207-210
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    • 2009
  • This paper presents development status of sounding rockets containing scientific payload and telemetry at home and abroad. The case of outside, united state is launching sounding rockets in 20-30 flight per year by the NASA program which offer to carry payload weights of 38-680 kg and altitude of 88-1,500 km. Europe is launching in 4-5 flight per year by the ESA program. Japanese sounding rockets are being applied an Antarctic exploration and flight verification in 1-2 flight per year. The case of korean sounding rockets was successful with the launch of three times(KSR-I,II,III), but our development techniques for space launch vehicle lag behind other industries. Therefore, Launch vehicle development should enable with the support and acquirement of advanced technology.

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