• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.274-277
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• 2007

This study is to estimate the spatial distribution of soil loss using the land use data produced from QuickBird satellite imagery. For a small agricultural watershed (1.16 $km^2$) located in the upstream of Gyeongan-cheon watershed, a precise agricultural land use map were prepared using QuickBird satellite image of April 5 of 2003. RUSLE (Revised Universal Soil Loss Equation) was adopted for soil loss estimation. The data (DEM, soil and land use) for the RUSLE were prepared for 5 m and 30 m spatial resolution. The results were compared with each other and the result of 30 m Landsat land use data.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.229-233
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• 2007

This study is to test the applicability of QuickBird image for non-point source pollution assessment. SWAT (Soil and Water Assessment Tool) model was adopted and the model was calibrated for a stream watershed of 255.4 $km^2$ Landsat land use data. For model application with QuickBird image, a precise agricultural land use map of 1.16 $km^2$ area located in the upstream watershed was produced by field investigation. The model was run with the combination of land use and soil map scales (1:5,000, 1:25,000 and 1:50,000). The results were compared and analyzed for the contribution of non-point source pollution by the land use scale and contents.

• 한국농공학회논문집
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• 제51권4호
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• pp.37-42
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• 2009

This study extracted Near Infrared (NIR) band using Image Processing Technology (IPT), and calculated Normalized Difference Vegetation Index (NDVI). Aerial photography from Daum portal in combination with high resolution satellite image was employed to improve vegetation sensitivity by extracting NIR band and calculating NDVI with comparison to QuickBird result. The extracted NIR band and NDVI through IPT presented similar distribution pattern. In addition, a regression analysis by land cover character showed high correlation paddy and forest Therefore, this approach could be acceptable to acquire vegetation environment information.

• 한국산림과학회지
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• 제100권4호
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• pp.540-547
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• 2011

본 연구는 고해상도 위성영상인 QuickBird 영상을 이용한 픽셀 및 분할기반의 분류방법의 정확도를 비교하여 적합한 수종 분류방법을 선정하기 위해 수행하였다. 이를 위해 연구대상지인 충청북도 옥천군과 영동군의 산림을 대상으로 현지조사를 실시하여 총 398개 토지피복정보를 수집하였다. 총 14개의 토지 피복 등급(4개의 침엽수종과 7개의 활엽수종, 그리고 3개의 비산림지)으로 구분된 현지조사 자료를 훈련자료로 이용하였다. 픽셀기반 분류에 있어서 위성영상이 가지고 있는 원 화소값, tasseled cap 분석에 의한 3개의 지수, 그리고 주성분 분석을 통한 3개의 성분값을 이용한 3가지의 밴드조합 영상을 생성하여 분류정확도를 비교한 결과, 위성영상의 원 화소값을 이용한 분류 정확도가 가장 높은 것으로 평가되었다. 분할기반 분류에서는 3개의 축척계수에 따른 정확도를 비교한 결과, 축척계수 50%을 적용하였을 때 전체 정확도는 76%, 그리고 ${\hat{k}}$ 값은 0.74로 다른 축척계수에 의한 정확도보다 높은 것으로 나타났다. 결과적으로 QuickBird 영상의 원 화소값과 50%의 축척계수를 이용한 분할기반의 수종분류 결과가 정확도가 가장 높은 것으로 평가되었다.

• 한국측량학회지
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• 제28권6호
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• pp.621-626
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• 2010

For geometric correction of high-resolution images, the authors matched corresponding objects between a large-scale digital map and a QuickBird image to obtain the coefficients of the first order polynomial. Proximity corrections were performed, using the Boolean operation, to perform automated matching accurately. The modified iterative closest point (ICP) algorithm was used between the point data of the surface linear objects and the point data of the edge objects of the image to determine accurate transformation coefficients. As a result of the automated geometric correction for the study site, an accuracy of 1.207 root mean square error (RMSE) per pixel was obtained.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.602-605
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• 2006

This study is to apply QuickBird satellite image for the simulation of storm runoff in a small rural watershed. For a 1.05 $km^2$ watershed located in Goesan-Gun of Chungbuk Province, the land use from the QuickBird image was produced by on-screening digitising after ortho-rectifying using 2 m DEM. For 3 cases of land use, soil and elevation scale (1:5,000, 1:25,000 and 1:50,000), SCS (Soil Conservation Service)-CN (Curve Number) and the watershed physical parameters were prepared for the storm runoff model, HEC-HMS (Hydrological Modelling System). The model was evaluated for each case and compared the simulated results with couple of selected storm events.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.409-412
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• 2006

Today's commercial high resolution satellite imagery such as IKONOS and QuickBird, offers the potential to extract useful spatial information for geographical database construction and GIS applications. Recognizing this potential use of high resolution satellite imagery, KARI is performing a project for developing Korea multipurpose satellite 3(KOMPSAT-3). Therefore, it is necessary to develop techniques for various GIS applications of KOMPSAT-3, using similar high resolution satellite imagery. As fundamental studies for this purpose, we focused on the extraction of 3D spatial information and the update of existing GIS data from QuickBird imagery. This paper examines the scheme for rectification of high resolution image, and suggests the convenient semi-automatic algorithm for extraction of 3D building information from a single image. The algorithm is based on triangular vector structure that consists of a building bottom point, its corresponding roof point and a shadow end point. The proposed method could increase the number of measurable building, and enhance the digitizing accuracy and the computation efficiency.

• 대한원격탐사학회지
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• 제23권3호
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• pp.153-160
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• 2007

Forest cover density studies using high resolution satellite data and object oriented classification are limited in India. This article focuses on the potential use of QuickBird satellite data and object oriented classification in forest density mapping. In this study, the high-resolution satellite data was classified based on NDVI/pixel based and object oriented classification methods and results were compared. The QuickBird satellite data was found to be suitable in forest density mapping. Object oriented classification was superior than the NDVI/pixel based classification. The Object oriented classification method classified all the density classes of forest (dense, open, degraded and bare soil) with higher producer and user accuracies and with more kappa statistics value compared to pixel based method. The overall classification accuracy and Kappa statistics values of the object oriented classification were 83.33% and 0.77 respectively, which were higher than the pixel based classification (68%, 0.56 respectively). According to the Z statistics, the results of these two classifications were significantly different at 95% confidence level.

• 한국지역지리학회지
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• 제11권4호
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• pp.453-462
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• 2005

본 연구는 해상도 60cm의 정밀 위성인 퀵버드 영상을 이용하여 북한 서해안의 평남 온천군과 남포시 지역을 사례로 구릉지에서의 농지 개간에 따른 지표 침식의 패턴을 분석한 것이다. 북한에서는 1980년대 이후부터 경제적 어려움으로 인하여 대규모의 인력과 장비가 요구되는 간석지 개간은 거의 이루어지지 못했다. 그 대신 소규모 개인 작업이 가능한 완만한 구릉지의 사면에서 정상까지를 다락밭과 비탈밭 등의 농경지로 개간하여 왔다. 이들과 인접하여 과수원도 개발되고 있으며, 집단 거주지의 형태로 취락이 조성되어 있다. 또한 농지 개발에 따라 농수로가 개설, 연결되고, 경작지의 능선부에는 구덩이를 파서 만든 작물 임시집하장들을 조성하였다. 이러한 구릉지 사면의 농지 개발에 의해 지표 침식이 발생하고 있는데, 침식의 유형은 개간의 형태와 관리 상태에 따라 점 침식, 선형 침식, 두부 침식으로 구분되며, 릴과 우곡의 모습도 관찰된다. 또한 관리 부실로 인한 사면의 표토 유실, 수로의 붕괴와 사태, 매립, 웅덩이의 붕괴 등으로 농업 생산성이 저하되고 있다. 퀵버드 영상 자료 분석은 1차적으로 실질적인 지리적 자료를 제공하고, 또한 북한 농업 지원 및 통일 국토 계획에도 도움을 줄 것으로 기대한다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.123-125
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• 2005

Many researchers conducted the effort for improving the classification accuracy of satellite image. Most of the study has used optical spectrum information of each pixel for image classification. By applying this method for high resolution satellite image, number of class becomes increase. This situation is remarkable for house, because the roof of house has variety of many colors. Even if the classification is carried out for many classes, roof color information of each house is not necessary. Most of the case, we need the information that object is house or not. In this study, we propose the method for detecting the object by using Genetic Algorithms (GA). Aircraft was selected as object. It is easy for this object to detect in the airport. An aircraft was taken as a template. Object image was taken from QuickBird. Target image includes an aircraft and Haneda Airport. Chromosome has four or five parameters which are composed of number of template, position (x,y), rotation angle, rate of enlarge. Good results were obtained in the experiment.