• Title/Summary/Keyword: 고해상도 항공정사영상

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High Quality Ortho-image Production Using the High Resolution DMCII Aerial Image (고해상도 DMCII 항공영상을 이용한 고품질 정사영상 제작)

  • Kim, Jong Nam;Um, Dae Yong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.33 no.1
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    • pp.11-21
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    • 2015
  • An Ortho-image is the production of removed geometrical displacement, which is generated the aerial image distortion and the relief displacement, etc., using the DSM (Digital Surface Model). Accordingly, the resolution of raw image and the accuracy of DSM will has significant impacts on the ortho-image accuracy. Since the latest DMCII250 aerial camera delivers the high resolution images with five centimeters Ground Sampling Distance(GSD), it expects to generate the high density point clouds and the high quality ortho-images. Therefore, this research has planned for reviewing the potentiality and accuracy of high quality ortho-image production. Following to proceed the research, DSM has been produced through the high density point cloud extracted from DMCII250 aerial image to supply of high density DSM by creation of ortho-image. The research results has been identified that images with the DSM brought out higher degrees in positional accuracy and quality of ortho-image, compared with the ortho-image, produced from the existing digital terrain map or DSM data.

Patch-Based Processing and Occlusion Area Recovery for True Orthoimage Generation (정밀정사영상 생성을 위한 패치기반 처리와 폐색지역 복원)

  • Yoo, Eun-Jin;Lee, Dong-Cheon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.28 no.1
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    • pp.83-92
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    • 2010
  • Emergence of high-resolution digital aerial cameras and airborne laser scanners have made innovative progress in photogrammetry and spatial information technology. The purpose of this study is to generate true orthoimage by recovering occlusion areas. The orthoimages were generated patch-based transformation. The occlusion areas were mutually corrected by using multiple aerial images. This study proposed a novel method of building roof based orthoimage generation and an effective method of occlusion area detection and recovery. The proposed methods could be efficient to generate true orthoimages in urban areas where occlusion areas are problematic.

Extracting Method The New Roads by Using High-resolution Aerial Orthophotos (고해상도 항공정사영상을 이용한 신설 도로 추출 방법에 관한 연구)

  • Lee, Kyeong Min;Go, Shin Young;Kim, Kyeong Min;Cho, Gi Sung
    • Journal of Korean Society for Geospatial Information Science
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    • v.22 no.3
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    • pp.3-10
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    • 2014
  • Digital maps are made by experts who digitize the data from aerial image and field survey. And the digital maps are updated every 2 years in National Geographic Information Institute. Conventional Digitizing methods take a lot of time and cost. And geographic information needs to be modified and updated appropriately as geographical features are changing rapidly. Therefore in this paper, we modify the digital map updates the road information for rapid high-resolution aerial orthophoto taken at different times were performed HSI color conversion. Road area of the cassification was performed the region growing methods. In addition, changes in the target area for analysis by applying the CVA technique to compare the changed road area by analyzing the accuracy of the proposed extraction.

Comparison and Analysis of Features between Aerial Photo Image and Satellite Image (항공사진 영상과 위성 영상간의 지형지물 비교.분석)

  • 김감래;김재연
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.21 no.1
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    • pp.1-7
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    • 2003
  • Practical use is increasing on the aerial ortho image recently, and much researches for geographic information system build that use high resolution satellite image cause this are progressing. Also many researches that use KOMPSAT-1 satellite image of resolution 6.6m are performing in these days, estimation for between aerial photo and satellite image is needed. In this treatise scanned image of aerial photo, using aerial photo resampling image of resolution equal with KOMPSAT-1 image using aerial photo, and KOMPSAT-1 satellite image use for experimental image making each orthoimage, classified feature for estimate. We evaluated to what level that an separation item could be able to estimate in each orthoimage. As result of estimation analysis, In the classified feature in aerial photo orthoimage with aerial photo resampling image orthoimage is about 61%, KOMPSAT-1 satellite image orthoimage is almost 41% could estimated. Through this investigation estimate, KOMPSAT-1 satellite sue to map updating, geographic information og non-approach area and environment inspect.

Comparison of High Resolution Image by Ortho Rectification Accuracy and Correlation Each Band (고해상도 영상의 정사보정 정확도 검증 및 밴드별 상관성 비교연구)

  • Jin, Cheong-Gil;Park, So-Young;Kim, Hyung-Seok;Chun, Yong-Sik;Choi, Chul-Uong
    • Journal of Korean Society for Geospatial Information Science
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    • v.18 no.2
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    • pp.35-45
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    • 2010
  • The objective of this study is to verify the positional accuracy by performing the orthometric corrections on the high resolution satellite images and to analyze the band correlation between the high resolution images corrected with orthometric correction. The objectives also included an analysis on the correlation of NDVI. For the orthometric correction of images from KOMPSAT2 and IKONOS, systematic errors were removed in use of RPC data, and non-planar distortions were corrected with GPS surveying data. Also, by preempting the image points at the same positions within ortho images, a comparison was performed on positional accuracies between image points of each image and GPS surveying points. The comparison was also made on the positional accuracies of image points. between the images. For correlation of band and correlation of NDVI, the descriptive statistics of DN values were acquired for respective bands by adding the Quickbird images and Aerial Photographs undergone through orthometric correction at the time of purchase. As result, from a comparison on positional accuracies of Orthoimages from KOMPSAT2 and Ortho Images of IKONOS was made. From the comparison the distance between the image points within each image and GPS surveying points was identified as 3.41m for KOMPSAT2 and as 1.45m for IKONOS, presenting a difference of 1.96m. Whereas, RMSE between image points was identified as 1.88m. The level of correlation was measured by using Quickbird, KOMPSAT2, IKONOS and Aerial Photographs between inter-image bands and NDVI, showing that there were high levels of correlation between Quickbird and IKONOS identified from all bands as well as from NDVI, except a high level of correlation that was identified between the Aerial Photographs and KOMPSAT2 from Band 2. Low levels of correlation were also identified between Quickbird and Aerial Photographs from Band 1. and between KOMPSAT2 and IKONOS from Band 2 and Band 4, whereas, KOMPSAT2 showed low correlations with Aerial Photographs from Band 3. For NDVI, KOMPSAT2 showed low level of correlations with both of QuickBird and IKONOS.

Parcel Boundary Demarcation in Agricultural Area Using High Resolution Aerial Images and Aerial Targets (고해상도 항공영상과 항공타겟을 이용한 농경지 필지경계 설정에 관한 연구)

  • PARK, Chi-Young;LEE, Jae-One
    • Journal of the Korean Association of Geographic Information Studies
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    • v.19 no.1
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    • pp.80-93
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    • 2016
  • Parcel boundary demarcation in agricultural area is commonly performed by terrestrial surveying methods, which have been pointed out as drawbacks to require consuming too much time and heavy expenditure. With the developments of high performance digital aerial cameras, however, studies on cadastral boundary demarcation with an aerial photogrammetric method attract a great attention in recent years. In this paper, an approach is presented to rapidly demarcate parcel boundaries coinciding with real ground ones in agricultural areas by extracting boundaries from the high resolution aerial orthoimages based on aerial targets. In order to investigate the feasibility of the proposed method, the accuracy of coordinates and area of parcel boundaries extracted from the aerial targets appeared in orthoimages compared with that of terrestrial boundary surveying results over the selected two test agricultural areas. Aerial image data were processed taken by a ADS80 digital camera with a GSD of 8cm in Changwon region, and by a DMCII camera with a GSD of 5cm in Suwon respectively. The result shows that the accuracy of parcel demarcation using aerial images is within the tolerance limits of coordinates and areas compared with that of terrestrial surveying. The proposed method using aerial target-based high resolution aerial images is therefore expected to be usefully applied in the agricultural parcel demarcation.

Accuracy Analysis of Orthophoto from the Tophographic character (지형 특성을 고려한 정사영상의 정확도 분석)

  • Yoon Hee-Cheon;Jo Hyeon-Wook;Lee Cheol-Hee;Park Joon-Kyu
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2006.05a
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    • pp.122-126
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    • 2006
  • 입체영상 획득이 가능한 SPOT 위성이 발사되면서 위성영상을 이용한 지도제작 둥의 정량적인 분석이 가능해졌다. 특히, 고해상도 위성영상은 항공사진촬영이 불가능하여 대축척 지도제작이 곤란한 지역 또는 지상기준점 측량이 불가능한 지역에 대한 수치지도 제작 분야에 있어 효율적인 방법으로 주목을 받고 있다. 이에 본 연구에서는 기 접근 가능지역에 대한 정사영상을 이용하여 기 구축된 성과들의 정확도를 평가하였고 이를 바탕으로 비접근지역의 지형정보 획득을 위한 정사영상의 활용 가능성을 제시하고자 하였으며 비접근 및 난접근 지역에서의 지상기준점 획득에 대한 제한을 극복하는 수단으로 본 연구의 결과를 활용하고자 하였다.

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A Study of on the Forest Map Update Using Orthorecified High Resolution Satellite Imagery Data (고해상도 정사위성영상을 이용한 임상도 수정에 관한 연구)

  • 성천경;조정호
    • Spatial Information Research
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    • v.12 no.2
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    • pp.127-135
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    • 2004
  • The operational availability of multispectral high-resolution satellite imagery, opens up new possibilities for updating forest map. Compared with information acquired by traditional methods (Panchromatic Aerial Photo), these data of for a number of advantages. In this study used 1m spatial resolution and 4 multispectral band, which are capability to update forest map of kind of tree. From the result of this study, First, the visual analysis of the colour composites of the multispectral data made it possible to distinguish some species(conifer, broad-leaved, un-stocked, arable land). Second, forest map and orthorectiffd satellite imagery are not match in the boundary of forest, therefore work have some troubles in the modification of forest map. Third, the distinguish from age-class, girth-class and density are much need experience and skillful about sample such as aerial photo.

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An Accuracy Analysis of the High Resolution Ortho Image by Generation Technique of Digital Elevation Model (수치고도모델 생성 기법에 따른 고해상도 정사영상 정확도 분석)

  • Lee, Kwang-Jae;Kim, Youn-Soo;Noh, Jin-Kwan
    • Aerospace Engineering and Technology
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    • v.11 no.1
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    • pp.118-125
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    • 2012
  • The purpose of this study is to analyze the ortho image quality change according to the generation technique of Digital Elevation Model(DEM) based on the digital map. First of all, two different types of DEM were generated using contour layer(Case1), contour layer and altitude layer(Case2) from the digital map on the scale of 1/5,000. After generating and evaluating two types of DEM, KOMPSAT-2 ortho images were generated by using them. In conclusion, Case2 DEM was more effective to use in the slope and switchback area, on the other hand, Case1 DEM was much better than Case2 DEM for preventing a topographic distortion in flat area.

Applicability of Multispectral IKONOS imagery for the Interpretation of Forest Stand Characteristics (임상 판독을 위한 IKONOS 다중분광 영상의 적요성 분석)

  • 김선화;이규성;이지민
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2003.04a
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    • pp.139-144
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    • 2003
  • 수종, 영급, 밀도 등과 같은 산림의 특성을 나타내는 임상구분은 주로 항공사진 육안판독을 통하여 이루어져 왔다. 최근 항공사진과 유사한 공간해상도를 갖춘 고해상도 위성영상이 제공되면서 이를 이용한 임상구분의 가능성에 대한 관심이 높아지고 있다. 본 연구에서는 울산 인근 산림지역의 1m 공간해상도의 IKONOS 입체쌍 영상을 이용하여 임상 판독의 가능성을 분석하였다. IKONOS영상은 기존의 수치임상도와의 중첩을 위하여 수치고도자료(DEM)를 이용한 정사보정을 수행하였으며, 분광밴드의 조합을 통한 칼라영상을 이용하여 육안판독을 시도하였다. 육안판독결과 IKONOS 칼라합성영상에서 천연 소나무림과 활엽수림의 육안구분이 흑백항공사진에 비해 뚜렷하게 나타나는 것을 볼 수 있었으며, 임분의 밀도가 영상에서 나타나는 질감과 패턴의 차이로 구분이 가능하였다. 또한 기존의 임상도를 중첩하여 최근 산지개발, 산불 등으로 훼손된 지점에 대한 구분이 용이하기 때문에 기존의 수치임상도를 화연상에서 직접 갱신함으로써 최근의 산림현황정보의 유지를 하는데 적합한 것으로 나타났다.

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