• Title/Summary/Keyword: 인공위성 화상데이터

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A Development of Damaged Spread Model of the Pine Needle Gall Midge Using Satellite Image Data (인공위성 화상데이터를 이용한 솔잎혹파리 피해 확산모델의 개발)

  • Ahn, Ki-Won;Lee, Hyo-Sung;Seo, Doo-Chun;Shin, Sok-Hyo
    • Journal of Korean Society for Geospatial Information Science
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    • v.6 no.2 s.12
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    • pp.105-117
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    • 1998
  • The main object of this study was to prove the effectiveness of satellite Image data for extraction of the pine needle gall midge damaged area in the part of Kangwon-do area, and to present the detailed procedure of a digital image processing for extraction of those damaged area. The effectiveness of extraction of damaged area was improved by using the BRCT(Backwards Radiance Correction Transformation) with DEM for the normalization of topographic effects. The topographic surface analysis of the extracted damaged area revealed that the general damaged area was at south-west and south-east aspect with the slope of 31 to 38 degrees, the temperature of 21 to 25, and 23% to 39% of the highest altitude mountains. The new damaged area in which expanded area was at 27 to 30 degree of slope, the aspect of 46 to 180 degrees, the temperature of $11^{\circ}C\;to\;12^{\circ}C$ and 27% to 39% of the highest altitude mountains. The NDI(New Damaged Index) was developed using the environment factor and simple vegetation index.

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Investigation on Ongoing Tideland Reclamation Projects in Western Coast of North Korea using Satellite Image Data (인공위성 화상데이터를 이용한 북한 서해안지역의 미완공 간척지 조사)

  • 조병진;안기원
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.43 no.1
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    • pp.75-86
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    • 2001
  • North Korea reported that tideland reclamation projects had been successfully constructed and/or under construction during the period of the third development scheme(1987∼1993), which were 28,400ha in 9 project areas: 8 projects along the western coast and one in the eastern coast. In this study eight projects located in western coast were investigated in order to confirm the detail of works, construction stages and difference from our project formulation methods using the topographic maps published in different years and the recent sattelite image data especially Lansat TM and SPOT PN. Intensity-hue-saturation (IHS) method was adopted to merge two sattelite data for the image enhancement of remote sensing. Construction stages of sea-dikes, land consolidation for paddy and salt pan, reservoir for irrigation and desalinization and the present land use were investigated and estimated the acreage of the development areas. The total gross project areas of 38,105 ha: 16,555 ha completed for paddy or salt pan, 16,826 ha under construction, and 4,724 ha under planning were confirmed, although the area of 27,100 ha in 8 projects were reported to be completed or ongoing on the bimonthly journal of N. Korean Trend published in 1994.

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Efficiency Algorithm of Multispectral Image Compression in Wavelet Domain (웨이브릿 영역에서 다분광 화상 데이터의 효율적인 압축 알고리듬)

  • Park, Gyeong Nam;Kim, Yeong Chun;Jang, Jong Guk;Lee, Geon Il
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.4
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    • pp.38-38
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    • 2001
  • 본 논문에서는 웨이브릿 영역에서의 영역 분류와 대역간 예측 및 선택적 벡터 양자화를 이용한 다분광 화상테이타 압축 기법을 제안하였다. 이 방법에서는 각 대역을 웨이브릿 변환 후, 각 대역의 기저밴드의 대역별 특성을 이용하여 영역 분류를 행하였다. 그리고, 다른 대역과 해상도가 동일하고 공간적 분산이 작으며 분광적 상관성이 큰 기준대역 (reference channel)을 결정한 뒤, 이를 영역별 스칼라 및 분류별 가변 벡터 양자화를 행하여 부호화 하였다. 또한 기준대역과의 대역간 상관성이 큰 대역들에 대해서는 영역별 대역간 예측을 행한 후, 활동도가 높은 블록에 대해서만 선택적 벡터 양자화로 부호화를 행하였다. 이때, 활동도가 높은 블록들의 위치정보는 기준대역으로부터 얻어지는 임계치 지도 (threshold map; THMAP)를 이용하였다. 즉, 제안한 방법에서는 각 대역에 대해 웨이브릿 영역에서의 영역 분류 후 영역별 대역간 예측을 행함으로써 다분광 화상데이타에 존재하는 대역간 중복성을 제거하고 선택적 벡터 양자화를 행함으로써 대역내 중복성을 효과적으로 제거하여 압축효율을 향상시킨다. 실제 원격 센싱된 인공위성 화상데이타에 대한 실험을 통하여 제안한 기법의 부호화 효율이 기존의 기법에 비하여 우수함을 확인하였다.

Annual and Seasonal Variations of Sea Ice in the Arctic Using AMSR-E (AMSR-E 위성자료를 이용한 북극 해빙 면적의 연변동 및 계절변동 조사)

  • Na, Jae-Ho;Yang, Chan-Su
    • Proceedings of the KSRS Conference
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    • 2009.03a
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    • pp.159-162
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    • 2009
  • 북극의 환경은 전 지구적으로 환경변화에 민감하다. 그중 해빙의 증가 및 감소는 지구의 온난화 진행의 지표로 작용을 한다. 따라서 향후 지구온난화의 진행 상황을 예측하기 위하여 북극 해빙 면적의 변화에 대한 지속적인 모니터링이 이루어 져야한다. 북극의 지역적, 환경적 특성상 인공위성을 이용한 원격 탐사가 가장 효과적이며 1970년대부터 수동 마이크로파 센서를 이용한 해빙관찰을 시작하였다. 현재 해빙원격탐사기술의 현황은 광학센서, 수동마이크로파센서, SAR 화상 등을 이용하고 있는데 이중 본 연구에서는 수동 마이크로파 센서인 AMSR-E를 이용하여 북극을 중심으로 북위 $60^{\circ}$ 이내의 지역에서 2002년$\sim$2009년 동안의 북극 해빙 면적에 관한 데이터를 획득하고 북극 해빙 전체 면적의 증가 및 감소에 관한 변화를 관측하였다.

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Merging of Remote Sensing image using the Neural Networks (신경회로망을 이용한 원격 탐사 영상의 정합)

  • 이주원;박헌종;박성록;조원래;김영일;이건기
    • Proceedings of the IEEK Conference
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    • 2001.06d
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    • pp.215-218
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    • 2001
  • 본 연구에서는 저해상도 다분광 영상으로부터 고해상도 다분광 영상을 효과적인 추출하기 위해 인공지능의 한 기법인 신경회로망을 이용하여 중합을 위한 구조를 제안하였고, IKONOS 위성 영상에 적용하여 실험 및 결과를 제시하였다. 실험 결과에서 얻어진 화상은 비교적 좋은 분광특성을 나타내었으며, 향후, 본 연구의 중합방법은 토지 이용분류, 환경감시, 자원조사 등의 많은 분야와 지형공간정보 시스템의 데이터 활용 등 여러분야 응용될 경우 우수한 성능을 제공할 것으로 사료된다.

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Survey for Farmland Development in Western Coast of North Korea Using Satellite Image Data (인공위성 화상데이터를 이용한 북한 서해안지역의 농지기반조성 현황조사)

  • An, Gi Won;Jo, Byeong Jin;Seo, Du Cheon;Lee, Jeong Cheol
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.19 no.1
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    • pp.96-96
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    • 2001
  • The aim of this study was to find out and confirm the project formulation, feasibility, scale and locations on the farmland development projects such as planned and ongoing tideland reclamation and irrigation facilities along the western coast of North Korea using satellite image data, Landsat TM, JERS OPS and SPOT PAN and aged maps. In order to apply to the study, remote sensing technologies such as geometric correction. digital mosaicking, image merging, linear extraction and land cover classification were studied. As the results of the study, the reclaimable tidal flats are recognized at about 178,000 ha equivalent to 59% of announced 300,000ha. and 16,000 ha of completed, 17,000 ha of ongoing project areas although 27,000 ha were revealed to be completed during 1987-1993. Almost planned projects are appeared to be shortage of water supply due to their small watersheds, however, most projects are connected with 2000 mile canal system.

Survey for Farmland Development in Western Coast of North Korea Using Satellite Image Data (인공위성 화상데이터를 이용한 북한 서해안지역의 농지기반조성 현황조사)

  • 안기원;조병진;서두천;이정철
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.19 no.1
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    • pp.95-106
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    • 2001
  • The aim of this study was to find out and confirm the project formulation, feasibility, scale and locations on the farmland development projects such as planned and ongoing tideland reclamation and irrigation facilities along the western coast of North Korea using satellite image data, Landsat TM, JERS OPS and SPOT PAN and aged maps. In order to apply to the study, remote sensing technologies such as geometric correction. digital mosaicking, image merging, linear extraction and land cover classification were studied. As the results of the study, the reclaimable tidal flats are recognized at about 178, 000 ha equivalent to 59% of announced 300, 000ha. and 16, 000 ha of completed, 17, 000 ha of ongoing project areas although 27, 000 ha were revealed to be completed during 1987-1993. Almost planned projects are appeared to be shortage of water supply due to their small watersheds, however, most projects are connected with 2000 mile canal system.

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Efficient Multispectral Image Compression Using Variable Block Size Vector Quantization (가변 블럭 벡터 양자화를 이용한 효율적인 다분광 화상 데이터 압축)

  • Ban, Seong-Won;Kim, Byeong-Ju;Seok, Jeong-Yeop;Gwon, Seong-Geun;Gwon, Gi-Gu;Kim, Yeong-Chun;Lee, Geon-Il
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.6
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    • pp.703-711
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    • 2001
  • In this paper, we propose efficient multispectral image compression using variable block size vector quantization (VQ). In wavelet domain, we perform the variable block size VQ to remove intraband redundancy for a reference band image that has the lowest spatial variance and the best correlation with other band. And in wavelet domain, we perform the classified interband prediction to remove interband redundancy for the remaining bands. Then error wavelet coefficients between original image and predicted image are residual variable block size vector quantized to reduce prediction error. Experiments on remotely sensed satellite image show that coding efficiency of the proposed method is better than that of the conventional method.

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Efficiency Algorithm of Multispectral Image Compression in Wavelet Domain (웨이브릿 영역에서 다분광 화상데이터의 효율적인 압축 알고리듬)

  • Ban, Seong-Won;Seok, Jeong-Yeop;Kim, Byeong-Ju;Park, Gyeong-Nam;Kim, Yeong-Chun;Jang, Jong-Guk;Lee, Geon-Il
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.4
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    • pp.362-370
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    • 2001
  • In this paper, we proposed multispectral image compression method using CIP (classified inter-channel prediction) and SVQ (selective vector quantization) in wavelet domain. First, multispectral image is wavelet transformed and classified into one of three classes considering reflection characteristics of the subband with the lowest resolution. Then, for a reference channel which has the highest correlation and the same resolution with other channels, the variable VQ is performed in the classified intra-channel to remove spatial redundancy. For other channels, the CIP is performed to remove spectral redundancy. Finally, the prediction error is reduced by performing SVQ. Experiments are carried out on a multispectral image. The results show that the proposed method reduce the bit rate at higher reconstructed image quality and improve the compression efficiency compared to conventional methods. Index Terms-Multispectral image compression, wavelet transform, classfied inter-channel prediction, selective vetor quantization, subband with lowest resolution.

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