• 제목/요약/키워드: Sensing Region

검색결과 629건 처리시간 0.027초

Building Detection Using Shadow Information in KOMPSAT Satellite Imagery (그림자 정보를 이용한 KOMPSAT 위성영상에서의 건물 검출)

  • 예철수;이쾌희
    • Korean Journal of Remote Sensing
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    • 제16권3호
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    • pp.235-242
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    • 2000
  • This paper presents a method to detect buildings using shadow information in satellite imagery. We classify image into three categories of building region, shadow region and background region to find buildings with consistent intensity. After the removal of noises in building regions and shadow regions, buildings adjacent to shadow regions are detected using the constraint of building and shadow sizes. The algorithm has been applied to KOMPSAT and SPOT images and the result showed buildings are efficiently detected.

Environmental Impact Assessment Using Remote Sensing Data : the Land Use Change (인공위성자료를 이용한 환경영향평가 : 토지이용 변화를 중심으로)

  • Mun, Hyun-Saing;Kim, Myung-Jin;Han, Eui-Jung;Lee, Jae-Woon;Bang, Kyu-Chul;Lee, Hee-Seon
    • Journal of Environmental Impact Assessment
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    • 제4권2호
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    • pp.23-28
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    • 1995
  • Remote sensing begins to be applied in Environmental Impact Assessment(EIA), and it can systematically assess land use which is an important factor in EIA. This study is to predict land use change of Ulsan region and to assess impact on land use using the past and the present data of remote sensing. Also we analyzed an impact area influenced by EIA projects through the integration of remote sensing and GIS. This technique will be applied to the screening stage in EIA.

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The generation of cloud drift winds and inter comparison with radiosonde data

  • Lee, Yong-Seob;Chung, Hyo-Sang;Ahn, Myeung-Hwan;Park, Eun-Jung
    • Proceedings of the KSRS Conference
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    • 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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    • pp.135-139
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    • 1999
  • Wind velocity is one of the primary variables for describing atmospheric state from GMS-5. And its accurate depiction is essential for operational weather forecasting and for initialization of NWP(Numerical Weather Prediction) models. The aim of this research is to incorporate imagery from other available spectral channels and examine the error characteristics of winds derived from these images. Multi spectral imagery from GMS-5 was used for this purpose and applied to Korean region with together BoM(Bureau of Meteorology). The derivation of wind velocity estimates from low and high resolution visible, split window infrared, and water vapor images, resulted in improvements in the amount and quality of wind data available for forecasting.

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Evacuation Route Simulation for Tsunami Preparedness Using Remote Sensing Satellite Data (Case Study: Padang City, West Sumatera Province, Indonesia)

  • Trisakti, Bambang;Carolita, Ita;Nur, Mawardi
    • Proceedings of the KSRS Conference
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.47-50
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    • 2006
  • Tsunami disaster caused great damages and very large victims especially when occurs in urban area along coastal region. Therefore information of evacuation in a map is very important for disaster preparedness in order to minimize the number of victims in affected area. Here, information generated from remote sensing satellite data (SPOT 5 and DEM) and secondary data (administration boundary and field survey data) are used to simulate evacuation route and to produce a map for Padang City. Vulnerability and evacuation areas are determined based on DEM. Landuse/landcover, accessibility areas, infrastructure and landmark are extracted from SPOT 5 data. All the data obtained from remote sensing and secondary data are integrated using geospatial modelling to determine evacuation routes. Finally the simulation of evacuation route in Padang City for tsunami preparedness is provided based on the parameters derived from remote sensing data such as distances from shelters, save zones, city's landmarks and the local community experiences how they can survive with the disaster.

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Log-Average-SNR Ratio and Cooperative Spectrum Sensing

  • Yue, Dian-Wu;Lau, Francis C.M.;Wang, Qian
    • Journal of Communications and Networks
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    • 제18권3호
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    • pp.311-319
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    • 2016
  • In this paper, we analyze the spectrum-sensing performance of a cooperative cognitive radio (CR) network consisting of a number of CR nodes and a fusion center (FC). We introduce the "log-average-SNR ratio" that relates the average SNR of the CR-node-FC link and that of the primary-user-CR-node link. Assuming that the FC utilizes the K-out-of-N rule as its decision rule, we derive exact expressions for the sensing gain and the coding gain - parameters used to characterize the CR network performance at the high SNR region. Based on these results, we determine ways to optimize the performance of the CR network.

Illumination Variations in Near-Equatorial Orbit Imaging: A Case Study with Simulated Data of RAZAKSAT

  • Hassan, Aida-Hayati-Mohd;Hashim, Mazlan;Arshad, Ahmad-Sabirin
    • Proceedings of the KSRS Conference
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.1052-1054
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    • 2003
  • RAZAKSAT is a second micro-satellite mission by Malaysian Satellite Program and is expected for launch in June 2004. Designed to orbit the earth at low-equatorial orbit, RAZAKSAT will meet Malaysia’s immediate needs to rapid data acquisition (real time and more repetitions) to address many operational issues of remote sensing applications, which require availability of current data sets. RAZAKSAT will be among the first remote sensing satellite to orbit the earth at low inclination along the equator, 9$^{\circ}$ with 685km altitude, hence, allows optimal geographical information and environment change within equatorial region be observed with a unique revisit characteristics. The satellite primary payload is MAC, a push-broom type camera with 2.5m of ground sampling distance (GSD) in panchromatic band and 5m of GSD in four multi-spectral bands. This paper describes on the variation of illumination anticipated from simulated RAZAKSAT image, examine its implication to its ground leaving radiances for major applications.

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Utilizations of GOES-9 Data in METRI/KMA: Sea Surface Temperature, Atmospheric Motion Vector

  • Chung, Chu-Yong;Sohn, Eun-Ha;Ahn, Myoung-Hwan;Park, Hye-Sook
    • Proceedings of the KSRS Conference
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.331-333
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    • 2003
  • KMA successfully began to receive and utilize the GOES-9 GVAR data since May 22nd 2003 when GOES-9 replaced the long-lived GMS-5 for Western Pacific and East Asian region until operation of MTSAT-1R in 2004. To take advantage of improvements of the GOES-9 data over the GMS-5 data, such as the increase of the temporal and spat ial resolution and addition of 3.9${\mu}$m channel, we have improved several algorithms to derive the meteorological products. Here we show two examples of algorithms, sea surface temperature and atmospheric motion vector, and preliminary results of validation of the improved algorithm.

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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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    • 제2권2호
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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 Landform Survey in Transborder Region Using the RS Data - In case of Goseong Region, Kangwon Province - (원격탐사자료를 활용한 접경지역 지형조사 - 강원도 고성군 송현리 일대를 사례로 -)

  • Seo, Jong-Cheol;Park, Kyeong
    • Journal of the Korean association of regional geographers
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    • 제9권3호
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    • pp.385-394
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    • 2003
  • Authors tried to classify landforms of civilian-restricted trans-border coastal region of the East Sea by using both field survey and remote sensing data including IKONOS images and digital maps. As a result, authors can draw the boundaries of landform units on satellite images and classify landforms effectively. Typical landforms of undisturbed depositional coastal area such as coastal sand dune, sand bar, lagoons, and tombolo are found within the study area. Also, riverine wetlands and estuarine wetlands are readily discernable on both satellite image and field survey. Even though landforms within the study area are relatively small, they are so dynamically connected that their preservation value is very high.

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MONITORING OF LAND SURFACE TEMPERATURE CHANGE OF THE NORTHEAST REGION IN CHINA BY MODIS DATA

  • SHAO, Ming;Park, Jong-Geol;YASUDA, Yoshizumi
    • Proceedings of the KSRS Conference
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.927-929
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    • 2003
  • Using received northeast region in China of Terra/MODIS data at Tokyo University of information Sciences. Make monthly division Land Surface Temperature maximum composite image. Using monthly division Land Surface Temperature maximum composite image, considered characteristic of monthly variation of Land surface temperature and relation with land covering and NDVI at the northeast region in China.

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