• Title/Summary/Keyword: satellite imagery

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DESIGN OF STANDARD GRIDDED METADATA FOR INTEGRATED MANAGEMENT OF SATELLITE IMAGERY INFORMATION

  • Han, Eun, Young;Chae, Gee-Ju
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.286-289
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    • 2005
  • Recently, in Korea, recognizing the importance of satellite imagery and a national project, the development of satellite providing satellite imagery information of 1m high resolution has been carried out. As the application of satellite. imagery information is expanded to the national land, the environment and geographical information, etc, the necessity of integrated management of satellite imagery information increases. Unfortunately, in case of Korea, currently, the results that institutes for satellite imagery processing produce with satellite imagery have been individually managed. Integrated Management of Satellite Imagery Information project which is being promoted by ETRI (Electronics and Telecommunication Research Institute) in Korea will provide the solutions for the above mentioned problems. In this research work, we designed standard metadata for integrated management of satellite imagery information in consideration of international and national standard.

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An Implementation of Change Detection System for High-resolution Satellite Imagery using a Floating Window

  • Lim, Young-Jae;Jeong, Soo;Kim, Kyung-Ok
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.275-279
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    • 2002
  • Change Detection is a useful technology that can be applied to various fields, taking temporal change information with the comparison and analysis among multi-temporal satellite images. Especially, Change Detection that utilizes high-resolution satellite imagery can be implemented to extract useful change information for many purposes, such as the environmental inspection, the circumstantial analysis of disaster damage, the inspection of illegal building, and the military use, which cannot be achieved by low- or middle-resolution satellite imagery. However, because of the special characteristics that result from high-resolution satellite imagery, it cannot use a pixel-based method that is used for low-resolution satellite imagery. Therefore, it must be used a feature-based algorithm based on the geographical and morphological feature. This paper presents the system that builds the change map by digitizing the boundary of the changed object. In this system, we can make the change map using manual or semi-automatic digitizing through the user interface implemented with a floating window that enables to detect the sign of the change, such as the construction or dismantlement, more efficiently.

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Application Fields and Strategy of KOMPSAT-2 Imagery

  • Sakong, Ho-Sang;Im, Jung-Ho
    • Korean Journal of Remote Sensing
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    • v.18 no.1
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    • pp.43-52
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    • 2002
  • KOMPSAT-2 satellite is being developed to be launched in 2004 expectingly. This paper is investigating application status of satellite imagery data using various domestic and foreign references such as journals and dissertations and seeing status of policy making and project implementation. In order to promote the application of KOMPSAT-2 imagery, its application ways in each field are presented. In addition, this paper suggests strategies to induce application of KOMPSAT-2 imagery.

Three Dimensional Positioning Accuracy of KOMPSAT-1 Stereo Imagery

  • Jeong, Soo;Kim, Yong-Soo
    • Korean Journal of Remote Sensing
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    • v.16 no.4
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    • pp.339-345
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    • 2000
  • KOMPSAT-1 was launched on 21 December, 1999 and the main mission of the satellite is the cartography to provide the imagery from a remote earth view for the production of maps of Korean territory. For this purpose, the satellite has capability to tilt the spacecraft utmost $\pm$45 degrees to acquire stereo satellite imagery in different paths. This study aims to estimate the three dimensional positioning accuracy of stereo satellite imagery from EOC(electro-optical camera), a payload of KOMPSAT-1 satellite. For this purpose, the ground control points and check points were obtained by GPS surveying. The sensor modeling and the adjustment was performed by PCI software installed in KARI (Korea Aerospace Research Institute), which contained mathematical analysis module for KOMPSAT-1 EOC. The study areas were Taejon and Nonsan, placed in the middle part of Korea. As a result of this study, we found that the RMSE(root mean square error) value of three dimensional positioning KOMPST-1 stereo imagery can be less than 1 pixel (6.6 m) if we can use about 10 GCPs(ground control points). Then, a standarrd of FGDC (Federal Geographic Data Committee) of USA was applied to the result to estimate the three dimensional positioning accuracy of KOMPSAT-1 stereo imagery.

An Analysis of Agricultural Infrastructure Status of North Korea Using Satellite Imagery (인공위성영상을 활용한 북한의 농업생산기반 실태분석)

  • Kim, Kwanho;Lee, Sunghack;Choi, Jinyong
    • KCID journal
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    • v.21 no.1
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    • pp.45-54
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    • 2014
  • In this study, Agricultural Infrastructures of Shincheon-gun in North Korea are investigated using Kompsat-2 and RapidEye satellite imagery. Target agricultural infrastructures are agricultural landuse, irrigation and drainage canals, dammed pools for irrigation and pumping stations. KOMPSAT-2 satellite imagery are use to investigate agricultural hydraulic structures and agricultural landuse are investigated by RapidEye Imagery. Geometric correction are performed using 28 GCP and QUAC method are used for atmospherical correction in all imagery. ISODATA clustering and naked-eye classification method are used for extracting agricultural hydraulic structures and Object-based analysis is applied to classifying the agricultural landuse. Extraction results of agricultural hydraulic structures and agricultural are presented and we suggest the applicability of satellite imagery to investigate agricultural infrastructures in North Korea.

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Comparison between in situ Survey and Satellite Imagery with Regard to Coastal Habitat Distribution Patterns in Weno, Micronesia (마이크로네시아 웨노섬 연안 서식지 분포의 현장조사와 위성영상 분석법 비교)

  • Kim, Taihun;Choi, Young-Ung;Choi, Jong-Kuk;Kwon, Moon-Sang;Park, Heung-Sik
    • Ocean and Polar Research
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    • v.35 no.4
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    • pp.395-405
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    • 2013
  • The aim of this study is to suggest an optimal survey method for coastal habitat monitoring around Weno Island in Chuuk Atoll, Federated States of Micronesia (FSM). This study was carried out to compare and analyze differences between in situ survey (PHOTS) and high spatial satellite imagery (Worldview-2) with regard to the coastal habitat distribution patterns of Weno Island. The in situ field data showed the following coverage of habitat types: sand 42.4%, seagrass 26.1%, algae 14.9%, rubble 8.9%, hard coral 3.5%, soft coral 2.6%, dead coral 1.5%, others 0.1%. The satellite imagery showed the following coverage of habitat types: sand 26.5%, seagrass 23.3%, sand + seagrass 12.3%, coral 18.1%, rubble 19.0%, rock 0.8% (Accuracy 65.2%). According to the visual interpretation of the habitat map by in situ survey, seagrass, sand, coral and rubble distribution were misaligned compared with the satellite imagery. While, the satellite imagery appear to be a plausible results to identify habitat types, it could not classify habitat types under one pixel in images, which in turn overestimated coral and rubble coverage, underestimated algae and sand. The differences appear to arise primarily because of habitat classification scheme, sampling scale and remote sensing reflectance. The implication of these results is that satellite imagery analysis needs to incorporate in situ survey data to accurately identify habitat. We suggest that satellite imagery must correspond with in situ survey in habitat classification and sampling scale. Subsequently habitat sub-segmentation based on the in situ survey data should be applied to satellite imagery.

APPLICATION OF SATELLITE IMAGERY FOR DROUGHTS MONITORING IN LARGE AREA

  • Shin Sha-Chul;Jeong Soo;Kim Kyung-Tak;Kim Joo-Hun;Park Jung-Sool
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.398-401
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    • 2005
  • Droughts have been an important factor in disaster management in Korea because she has been grouped into nations of lack of water. Satellite imagery can be applied to droughts monitoring because it can afford periodic data for large area for long time. This study aims to develop a method to analyze droughts in large area using satellite imagery. We estimated evapotranspiration in large area using NDVI data acquired from satellite imagery. For satellite imagery, we dealt with MODIS data operated by NASA. As the result of this study, we improved the usability of satellite imagery, especially in drought analysis.

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A building roof detection method using snake model in high resolution satellite imagery

  • Ye Chul-Soo;Lee Sun-Gu;Kim Yongseung;Paik Hongyul
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.241-244
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    • 2005
  • Many building detection methods mainly rely on line segments extracted from aerial or satellite imagery. Building detection methods based on line segments, however, are difficult to succeed in high resolution satellite imagery such as IKONOS imagery, for most buildings in IKONOS imagery have small size of roofs with low contrast between roof and background. In this paper, we propose an efficient method to extract line segments and group them at the same time. First, edge preserving filtering is applied to the imagery to remove the noise. Second, we segment the imagery by watershed method, which collects the pixels with similar intensities to obtain homogeneous region. The boundaries of homogeneous region are not completely coincident with roof boundaries due to low contrast in the vicinity of the roof boundaries. Finally, to resolve this problem, we set up snake model with segmented region boundaries as initial snake's positions. We used a greedy algorithm to fit a snake to roof boundary. Experimental results show our method can obtain more .correct roof boundary with small size and low contrast from IKONOS imagery. Snake algorithm, building roof detection, watershed segmentation, edge-preserving filtering

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The Application of Satellite Imagery in Droughts Analysis of Large Area (광역의 가뭄 분석을 위한 위성영상의 활용)

  • Jeong, Soo;Shin, Sha-Chul
    • Journal of Korean Society for Geospatial Information Science
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    • v.14 no.2 s.36
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    • pp.55-62
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    • 2006
  • Droughts have been an important factor in disaster management in Korea because she has been grouped into nations of lack of water. Satellite imagery can be applied to droughts monitoring because it can provide periodic data for large area for long time. This study aims to present a process to analyze droughts in large area using satellite imagery. We estimated evapotranspiration in large area using NDVI data acquired from satellite imagery. For satellite imagery, we dealt with MODIS data operated by NASA. The evapotranspiration estimated from satellite imagery was combined with precipitation data and potential evapotranspiration data to estimate water balances. Using water balances we could analyze droughts effectively in our object area. As the result of this study, we could increase the usability of satellite imagery, especially in droughts analysis.

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IMPLEMENTATION OF SATELLITE IMAGERY INFORMATION SYSTEM FOR KOREAN METEROLOGICAL ADMINISTRATION AND ITS MEANINGS

  • Chang, Eun-Mi;Park, Jong-Seo;Suh, Ae-Sook
    • Proceedings of the KSRS Conference
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    • v.1
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    • pp.163-165
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    • 2006
  • We aim to archive all the satellite images that had been scattered into Satellite Imagery Information System with setting naming rules and metadata. More than one million of scenes were collected, rectified into error-free status with metadata . Converting various formats into HDF format after considering GEOTIFF and HDF. Intranet and Internet System had been development to allow all the images to be searched and downloaded with less effort. These system will expand the usage of meteorological satellite images for expert groups and the public outside of KMA.

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