• 제목/요약/키워드: remote laboratory

검색결과 488건 처리시간 0.027초

장기체공무인기를 위한 제주도 모슬포 지역의 기상환경 분석 (The Analysis of Meterological Environment over Jeju Moseulpo Region for HALE UAV)

  • 조영준;안광득;이희춘;하종철;최규용;조천호;김수복
    • 한국군사과학기술학회지
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    • 제18권4호
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    • pp.469-477
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    • 2015
  • In this study, the characteristics of main wind direction, vertical temperature and wind speed profile near the Moseulpo airfield for HALE UAV(High Altitude Long Endurance Unmaned Aerial Vehicle) is investigated. The results are summarized as follows, main wind direction is governed by air mass according to season and local wind such as land-sea breeze. The directions of landing and take-off of HALE UAV will be selected as the south-east direction in June ~ August, north-west direction in October ~ March, and south-east direction at daytime in April ~ May, September. Annual variation of temperature at 100 hPa showed that temperature in summer season is lower than winter season. On the other hands, wind speed at 250 hPa in winter season is higher than summer season. The threshold values of temperature and wind speed for HALE UAV flight are $-75^{\circ}C$ and $90ms^{-1}$, which were determined by 5 % frequency value($1.96{\sigma}$), respectively.

측심기의 음향반사 특성을 이용한 해저퇴적물의 원격분류: 부산 수영만의 예비결과 (Remote Seabed Classification Based on the Characteristics of the Acoustic Response of Echo Sounder: Preliminary Result of the Suyoung Bay, Busan)

  • 김길영;김대철;김양은;이광훈;박수철;박종원;서영교
    • 한국수산과학회지
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    • 제35권3호
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    • pp.273-281
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    • 2002
  • 해양의 표층퇴적물을 분류하는 일반적인 방법은 ground frothing에 의한 것으로 시료채취 정점에 국한된 자료라는 한계성을 가지고 있다. 최근에는 원격분류방법의 개발로 인하여 이러한 한계성을 극복한 연속적인 자료를 얻을 수 있도록 가능하게 되었다 본 연구에서는 해저면의 원격분류결과를 실시간 수치화된 자료로 얻을 수 있는 음향장비인 QTC View라는 기기를 이용해 부산 수영만의 표층 퇴적물을 원격분류 하였다. QTC View는 50kHz의 음향측심기와 연결하였고 측정장비의 설정환경은 조사동안 일정하게 유지하였다. Ground trothing에 의한 시료 분석결과 수영만은 slightly gravelly sand, slightly gravelly sandy mud. gravelly muddy sand, clayey sand, sandy mud, slightly gravelly muddy sand 그리고 rocky bottom의 총 7개의 퇴적물형으로 분류되었다. QTC View를 이용한 1차 원격분류결과 이들 7개 중 slightly gravelly sand, gravelly muddy sand, sandy mud 및 rocky bottom 등 4개의 퇴적물형이 구분되었으며 이는 2차 원격분류결과에서도 유사하게 분포하는 것으로 확인되었다. Ground frothing에 의한 분류자료와 원격분류 자료를 비교한 결과 퇴적물형을 구분할 때 소량성분에 의해 서로 다르게 구분된 경우는 다소 차이가 있으나 연구지역 전반에 걸친 퇴적물의 분포양상은 잘 일치하는 것으로 나타났다. 따라서 QTC View는 해저퇴적물을 원격분류하는데 유효하게 이용될 수 있을 것으로 본다.

Smart Rectification on Satellite images

  • Seo, Ji-Hun;Jeong, Soo;Kim, Kyoung-Ok
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.75-80
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    • 2002
  • The mainly used technique to rectify satellite images with distortion is to develop a mathematical relationship between the pixel coordinates on the image and the corresponding points on the ground. By defining the relationship between two coordinate systems, a polynomial model is designed and various linear transformations are used. These GCP based geometric correction has performed overall plane to plane mapping. In the overall plane mapping, overall structure of a scene is considered, but local variation is discarded. The highly variant height of region is resampled with distortion in the rectified image. To solve this problem this paper proposed the TIN-based rectification on a satellite image. The TIN based rectification is good to correct local distortion, but insufficient to reflect overall structure of one scene. So, this paper shows the experimental result and the analysis of each rectification model. It also describes the relationship GCP distribution and rectification model. We can choose a geometric correction model as the structural characteristic of a satellite image and the acquired GCP distribution.

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The Distributed Management System of Moving Objects for LBS

  • Jang, In-Sung;Cho, Dae-Soo;Park, Jong-Hyun
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.163-167
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    • 2002
  • Recently, owing to performance elevation of telecommunication technology, increase of wireless internet's subscriber and diffusion of wireless device, Interest about LBS (Location Based Service) which take advantage of user's location information and can receive information in concerning with user's location is increasing rapidly. So, MOMS (Moving Object Management System) that manage user's location information is required compulsorily to provide location base service. LBS of childhood such as service to find a friend need only current location, but to provide high-quality service in connection with Data Mining, CRM, We must be able to manage location information of past. In this paper, we design distributed manage system to insert and search Moving Object in a large amount. It has been consisted of CLIM (Current Location Information Manager), PLIM (Past-Location Information Manager) and BLIM (Distributed Location Information Manager). CLIM and PLIM prove performance of searching data by using spatiotemporal-index. DLIM distribute an enormous amount of location data to various database. Thus it keeps load-balance, regulates overload and manage a huge number of location information efficiently.

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DEVELOPMENT OF OPEN GIS COMPONENT SOFTWARE

  • Choi, Hae-Ock;Kim, Kwang-Soo;Lee, Jong-Hun
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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    • pp.188-193
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    • 1999
  • Technology of GIS evolved as a means of assembling and analyzing diverse spatial data. Many systems have been developed, and almost of systems are proprietary. There is a lots of lack of interoperability and reusability between them. This paper describes the development of Open GIS component software. The developing system have an end in view of GIS tool software which is interoperable and reusable. To increase the interoperability and reusability, the system is based on the OGC(Open GIS Consortium)'s Open GIS Simple Features Specification for OLE/COM. The OGC's specification is announced to increasing the full interoperability of various geospatial data and geoprocessing resources. With the Open specification, component based software ensures the reusability. We implement three kinds of component: Geometry component, Spatial Reference System Component, and MapBase Component. The first two components are compatible to the OGC's specification and the third one is designed to GIS tool software for variant GIS applications. The Open GIS component software system is developed on object-oriented computing environment, ATL/COM and Visual C++. As we made application programs using Visual Basic, the advantages of component based Open GIS software was proved.

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광릉 산림지의 지표 플럭스 스케일링에 관한 FIFE로부터의 교훈 (Lessons from FIFE on Scaling of Surface Fluxes at Gwangneung Forest Site)

  • 홍진규;이동호;김준
    • 한국농림기상학회지
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    • 제7권1호
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    • pp.4-14
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    • 2005
  • CarboKorea and HydroKorea are the domestic projects aiming to improve our understanding of carbon and water cycles in a typical Korean forest located in a complex terrain with a watershed connected to large rivers. The ultimate goal is to provide a nowcasting of these cycles for the whole Peninsula. The basic strategy to achieve such goal is through the inter- and multi-disciplinary studies that synthesize the in-situ field observation, modeling and remote sensing technology. The challenge is the fact that natural ecosystems are nonlinear and heterogeneous with a wide range of spatio-temporal scales causing the variations of mass and energy exchanges from a leaf to landscape scales. Our paradigm now shifts from temporal variation at a point to spatial patterns and from spatial homogeneity to complexity of water and carbon at multiple scales. Yet, a large portion of our knowledge about land-atmosphere interactions has been established based on tower observations, indicating that the development of scaling logics holds the key to the success of CarboKorea and HydroKorea. Here, we review the pioneering work of FIFE (First ISLSCP Field Experiment) on scaling issues in a temperate grassland and discuss the lessons from it for the application to Gwangneung forest site.

Backscattering Features of Oyster Sea Farming in AIRSAR Image and Laboratory Experiment

  • Lee Seung-Kuk;Hong Sang-Hoon;Won Joong-Sun
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.582-585
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    • 2004
  • Oyster fanning structures in tidal flats are well detected by SAR system. Each frame of these artificial structures is composed of two vertical and one horizontal wooden pole. We investigate characteristics of polarimetric features in the target structures. In this paper, the results of AIRSAR L-band POLSAR data and experiments in laboratory are discussed. The ratio of single bounce to double bounce scattering depends of vertical pole height, direction of horizontal pole to radar look direction, and incidence angle as well as sea surface condition. We have conducted laboratory experiments. According to target scale, Ku-band and targets downsized by scale of 10 are used. The results of the experiments are summarized as: i) total power of the backscattering is more affected by vertical poles than a horizontal pole; ii) and backscattering from a horizontal pole is sensitive to the relative radar look direction to target array. We conclude that water level can be effectively measured by using interferometric phase and backscattering intensity if vertical poles in the water are observed by L-band HH- or VV-polarization. Measurement of tide height can be further improved if double bounced components are separated from fully polarized SAR data.

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DESIGN AND IMPLEMENTATION OF METADATA MODEL FOR SENSOR DATA STREAM

  • Lee, Yang-Koo;Jung, Young-Jin;Ryu, Keun-Ho;Kim, Kwang-Deuk
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.768-771
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    • 2006
  • In WSN(Wireless Sensor Network) environment, a large amount of sensors, which are small and heterogeneous, generates data stream successively in physical space. These sensors are composed of measured data and metadata. Metadata includes various features such as location, sampling time, measurement unit, and their types. Until now, wireless sensors have been managed with individual specification, not the explicit standardization of metadata, so it is difficult to collect and communicate between heterogeneous sensors. To solve this problem, OGC(Open Geospatial Consortium) has proposed a SensorML(Sensor Model Language) which can manage metadata of heterogeneous sensors with unique format. In this paper, we introduce a metadata model using SensorML specification to manage various sensors, which are distributed in a wide scope. In addition, we implement the metadata management module applied to the sensor data stream management system. We provide many functions, namely generating metadata file, registering and storing them according to definition of SensorML.

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CANCER CLASSIFICATION AND PREDICTION USING MULTIVARIATE ANALYSIS

  • Shon, Ho-Sun;Lee, Heon-Gyu;Ryu, Keun-Ho
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.706-709
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    • 2006
  • Cancer is one of the major causes of death; however, the survival rate can be increased if discovered at an early stage for timely treatment. According to the statistics of the World Health Organization of 2002, breast cancer was the most prevalent cancer for all cancers occurring in women worldwide, and it account for 16.8% of entire cancers inflicting Korean women today. In order to classify the type of breast cancer whether it is benign or malignant, this study was conducted with the use of the discriminant analysis and the decision tree of data mining with the breast cancer data disclosed on the web. The discriminant analysis is a statistical method to seek certain discriminant criteria and discriminant function to separate the population groups on the basis of observation values obtained from two or more population groups, and use the values obtained to allow the existing observation value to the population group thereto. The decision tree analyzes the record of data collected in the part to show it with the pattern existing in between them, namely, the combination of attribute for the characteristics of each class and make the classification model tree. Through this type of analysis, it may obtain the systematic information on the factors that cause the breast cancer in advance and prevent the risk of recurrence after the surgery.

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TEST ON REAL-TIME CLOUD DETECTION ALGORITHM USING A NEURAL NETWORK MODEL FOR COMS

  • Ahn, Hyun-Jeong;Chung, Chu-Yong;Ou, Mi-Lim
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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    • pp.286-289
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    • 2007
  • This study is to develop a cloud detection algorit1un for COMS and it is currently tested by using MODIS level 2B and MTSAT-1R satellite radiance data. Unlike many existing cloud detection schemes which use a threshold method and traditional statistical methods, in this study a feed-forward neural network method with back-propagation algorit1un is used. MODIS level 2B products are matched with feature information of five-band MTSAT 1R image data to form the training dataset. The neural network is trained over the global region for the period of January to December in 2006 with 5 km spatial resolution. The main results show that this model is capable to detect complex cloud phenomena. And when it is applied to seasonal images, it shows reliable results to reflect seasonal characteristics except for snow cover of winter. The cloud detection by the neural network method shows 90% accuracy compared to the MODIS products.

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