• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2751-2756
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• 2012

Selection of training set influences the classification accuracy in supervised classification using satellite imagery. Generally, if pure pixels which character of training set is clear were selected, whole accuracy is high while if mixed pixels were selected, accuracy is decreased because of low-resolution imagery or unclear distinguishment. However, it is too difficult to choose the pure pixels as training set actually. Accordingly, this study should be suggested the suitable classification method in case of mixed pixels choice. To achieve this, a few pure pixels were chosen as training set and classification accuracy was calculated which was compared with classification result using an equal number of mixed pixels. As a result, accuracy of SVM was the highest among the classification method using mixed pixels and it was a relatively small difference with the result of classification using pure pixels. Therefore, imagery classification using SVM is most suitable in the mixed area of construction and green because it is high possibility to choose mixed pixels as training set.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.1
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• pp.3-11
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• 2009

This study aims at proposing that high resolution satellite images could be used to form an urban management plan by calculating the amount of green areas and detecting land use changes in each zoning region within urban planning jurisdiction of Jinju in Gyeongsangnam-do selected as a case study area, analysing imagery of IKONOS and KOMPSAT-2 that are high resolution satellite images. In conclusion, application possibilities of high resolution satellite images as assessment data of urban management administration that help to assess changes in each zoning region are indicated after developing modules based on ArcGIS for calculation and detection of green areas and land use changes and then analysing land use changes and spatial distribution of green areas by using those modules.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.5
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• pp.28-34
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• 2007

A histogram-based road border line extractor is proposed for an efficient road extraction from the high-resolution satellite imagery. The road border lines are extracted from an edge strength map based on the directional histogram difference between the road and the non-road region. The straight and the curved roads are extracted hierarchically from the edge strength map of the original image and the segmented road cluster images, and the road network is constructed based on the connectivity. Unlike the conventional approaches based on the spectral similarity, the proposed road extraction method is more robust to noise because it extracts roads based on the histogram, and is able to extract both the location and the width of roads. In addition, the proposed method can extract roads with various spectral characteristics by identifying the road clusters automatically. Experimental results on IKONOS multi-spectral satellite imagery with high spatial resolution show that the proposed method can extract the straight and the curved roads as well as the accurate road border lines.

• Korean Journal of Remote Sensing
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• v.23 no.6
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• pp.529-536
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• 2007

As the Imperious surface is an important index for the estimation of urbanization and environmental change, the increase of impervious surfaces causes meteorological and hydrological changes like urban climate change, urban flood discharge increasing, urban flood frequency increasing, and urban flood modelling during the rainy season. In this study, the estimation of impervious surfaces is performed by using Landsat-7 ETM+ image in An-sung area. The construction of sampling data and checking data is used by IKONOS image. It transform to a tasselled cap and NDVI through the reflexibility rate of Landsat ETM+ image and analyze various variables that influence on impervious surface. Finally, the impervious surfaces map is accomplished by regression tree algorithm.

• Journal of the Korean association of regional geographers
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• v.9 no.3
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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.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2004.03a
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• pp.229-233
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• 2004

원격탐사 자료를 이용하여 조간대 표층퇴적상의 분류가 가능하다면 현장조사와 상호 보완적으로 사용될 수 있다. 공간해상도 30 m 급의 Landsat 위성 자료를 이용하여 0.0625 mm 입자 기준에 의한 조간대의 표층 퇴적상 분류를 한 연구가 몇 차례보고 된 바 있지만, 스펙트럴 값만으로 퇴적상을 분류하기 위해서는 몇 가지 문제점이 따른다. 첫째는 점이적으로 변하는 조간대에서 입도와 위성자료 공간해상도와의 스케일 차이로 인한 mixed pixel(mixel)을 어떻게 분류할 것인가 이고 두 번째는 입도 요인 이외의 조간대 환경요인을 어떻게 고려해야 되느냐 하는 것이다. mixel에 대한 대안으로 4 m 공간해상도의 IKONOS 영상을 이용하였으며, 입도 이외의 다른 환경 요인은 조간대 지형과 조류로 (tidal channel)를 파악하여 퇴적상의 특성과 비교하였다. IKONOS를 이용한 조간대 퇴적상 분류 결과는 현장 조사 자료와 잘 일치하였으며 지형적으로 높고 조류로가 발달한 부분에 이질 퇴적상이 위치하는 것을 알 수 있었다. 이 연구는 IKONOS와 같은 공간해상도를 갖는 KOMPSAT II 위성이 2004년 진수되어 서해조간대 지역에 대해 다시기의 많은 영상을 확보할 수 있다면 조간대의 지형변화와 생태계 변화 등의 조간대 모니터링 연구에 활용되어 연안의 종합적이고 효율적인 관리에 활용될 수 있을 것으로 생각된다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.1D
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• pp.149-156
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• 2006

Existing method of landuse classification using aerial photographs or field survey requires relatively higher amount of time and cost due to necessary manual work. Especially in urban area where the pattern of landuse is densely aggregated, a landuse classification using satellite image is more complex. In this background, this study proposes a landuse classification method to utilize 1:1,000 digital topographic data and IKONOS satellite image. To prove the possibility of this method, the method was applied to Seoul metropolitan area. The results shows the total accuracy of approximately 95% and 14 landuse classes extracted. Based on the results from the pilot study, this method is applicable to landuse classification in urban area.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2003.04a
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• pp.369-376
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• 2003

정보화사회에서 필수적인 사회간접자본으로 간주되고 있는 지리정보체계는 국토공간의 효율적인 이용 및 관리, 재해예방 등 다양한 분야에서 활용되고 있다. 특히, 전 국토의 2/3 이상을 차지하고 있는 산림은 환경적 가치의 확산에 따라 산림정보의 체계적인 관리를 위해 지리정보체계의 활용이 급증하고 있다. 본 연구에서는 수치사진측량 방법을 이용하여 수치임상도의 효율적인 수정 및 갱신방법을 제시하였고, 이를 실제작업에 적용함으로서 적합성을 검증하였다. 이를 위해 연구 대상지역의 항공사진 영상과 IKONOS 위성영상을 이용하여 수치임상도를 갱신함으로서 임상의 판독정확도, 임상의 위치 정확도, 에피폴라영상 제작과정에서 소요되는 제작시간 및 제작 숙련도, 제작비용 등을 비교, 분석함으로서 사용되는 수치영상의 적합성 여부를 판단하였다. 이러한 비교 결과를 토대로 위성영상을 이용하는 방법이 기존의 방법이나 항공사진을 이용한 방법에 비해 보다 효과적인 방법임을 판단할 수 있었으며, 고해상도 위성영상을 이용한 임상도 제작 및 갱신방법이 항공사진이 갖는 판독상의 문제점과 제작과정의 복잡함을 보완할 수 있는 방안이 될 수 있을 것으로 판단된다.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2003.04a
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• pp.181-185
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• 2003

Recently, in accordance with supplying high-resolution satellite images which as IKONOS, KVR-1000, and Quick Bird, the use of satellite images have increased in the study which extraction of features from high-resolution satellite images is becoming a new research focus. In this study, using generally involves such as image segmentation, filtering and sobel operator and thinning in image processing for extraction of feature from satellite image. We apply this method to extraction of feature which need to the revision of map from high-resolution IKONOS satellite image data, we verified the capability of extraction of feature and application using satellite image and proposed a plan for the study in the future.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2003.04a
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• pp.321-326
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• 2003

The subjects of this study are to examine and to apply the methods of making 1:5,000 scale maps using 1m resolution stereo images of IKONOS for the Munsan area of Paju-city where aerial photo surveying cannot possible because of security conditions. GCP(Ground Control Point) were acquired from GPS surveying and were to perform geometric corrections on images. Digital Map used IKONOS stereo images and it worked from the digital analytical stereoplotter. From field investigation, RMSE errors of the plane and vertical positions are estimated to 1.706m and 1.231m, respectively. The plane accuracy is better than an accuracy required by NGIS (national GIS) programs. Local information from field investigation was added and the resulting maps should be good as digital map under the scale of 1/5,000.