• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.807-810
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• 2003

This research uses high-resolution satellite images as a source of collecting farmland information. For effectively extract the paddy area, we use texture information and different classify methods to assist the satellite image classification. First, using maximum likelihood classifier to extract paddy information from images. The results show that User Accuracy and Procedure Accuracy of the paddy area can increase from 80.60% to 95.45% and 84.38% to 95.45%. Second, establishing a paddy Knowledge Base and using Knowledge Base Classifier to extract paddy area, and result shows the User Accuracy and Producer Accuracy to be 92.16% and 90.06%. Finally, The result shows we can effectively contribute to the paddy field information extraction from high-resolution satellite images.

• 대한원격탐사학회지
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• 제23권5호
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• pp.409-420
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• 2007

Since 1988, pine wilt disease has spread over rapidly in Korea. It is not easy to detect the damaged pine trees by pine wilt disease from conventional remote sensing skills. Thus, many possibilities were investigated to detect the damaged pines using various kinds of remote sensing data including high spatial resolution satellite image of 2000/2003 IKONOS and 2005 QuickBird, aerial photos, and digital airborne data, too. Time series of B&W aerial photos at the scale of 1:6,000 were used to validate the results. A local maximum filtering was adapted to determine whether the damaged pines could be detected or not at the tree level from high resolution satellite images, and to locate the damaged trees. Several enhancement methods such as NDVI and image transformations were examined to find out the optimal detection method. Considering the mean crown radius of pine trees, local maximum filter with 3 pixels in radius was adapted to detect the damaged trees on IKONOS image. CIR images of 50 cm resolution were taken by PKNU-3(REDLAKE MS4000) sensor. The simulated CIR images with resolutions of 1 m, 2 m, and 4 m were generated to test the possibility of tree detection both in a stereo and a single mode. In conclusion, in order to detect the pine tree damaged by pine wilt disease at a tree level from satellite image, a spatial resolution might be less than 1 m in a single mode and/or 1 m in a stereo mode.

• 한국지리정보학회지
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• 제6권4호
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• pp.109-121
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• 2003

본 연구는 현재 각 기초 지자체 단위로 시행하고 있는 도로명 및 건물번호 부여사업의 현장조사 및 기본도 검수를 위하여 고해상도의 위성영상을 활용하는 것을 그 내용으로 한다. 대부분의 지방자치단체는 기존의 축척 1/1,000과 1/5,000 수치지도로 제작된 기본도에만 의존하여 현장조사를 진행하여 왔으며, 이 과정에서 현장조사자의 사전지식 부족 및 기본도의 현시성 결여 등으로 인하여 사업초기 상당한 시행착오를 겪는다. 따라서 본 연구는 도로명 및 건물번호 부여 사업에서 기존의 국립지리원 수치지도에 근거한 기본도를 보완하기 위한 방안으로 고해상도 위성영상의 활용가능성을 제시한다. 그 동안의 위성영상은 낮은 해상도로 인하여 상대적으로 면적이 좁고 토지 이용이 조밀한 우리나라의 실정에 적합하지 못하였으나, 1m 내외의 공간해상도를 지니는 고해상도 위성영상이 상용화되면서 우리나라에서도 점차 그 활용 분야가 넓어지고 있다. 또한 기존의 vector 기반의 수치지도와의 상호 보완을 위한 연계 활용도 점차 증가하고 있다. 연구 결과, 도로명 및 건물번호 부여사업에서 고해상도 위성영상의 활용은 그 결과적인 측면뿐만 아니라 비용적인 측면에서도 타당성이 있는 것으로 나타났으며, 본 사업을 통하여 구축된 위성영상 자료는 도시계획 등 타 분야에서도 활용이 가능하여 지방자치단체의 기초 공간자료로서도 활용도가 높다.

• 대한원격탐사학회지
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• 제19권3호
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• pp.191-200
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• 2003

Remote sensing division of satellite technology research center (SaTReC) , Korea advanced institute of science and technology (KAIST) has developed a ground receiving and processing system for high resolution satellite images. The developed system will be adapted and operated to receive, process and distributes images acquired from of the second Korean Multi-purpose Satellite (KOMPSAT-2), which will be launched in 2004. This project had initiated to develop and Koreanize the state-of-the-art technologies for the ground receiving system for high resolution remote sensing images, which range from direct ingestion of image data to the distribution of products through precise image correction. During four years development from Dec. 1998 until Aug. 2002, the system had been verified in various ways including real operation of custom-made systems such as a prototype system for SPOT and a commercialized system for KOMPSAT-1. Currently the system is under customization for installation at KOMPSAT-2 ground station. In this paper, we present accomplished work and future work.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.750-750
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• 2002

The Airship PKNU is a roughly 12 m (32 ft) long blimp, filled with helium, whose two-gasoline power(3hp per engine) are independently radio controlled. The motors and propellers can be tilted and are attached to the gondola through an axle and supporting braces. Four stabilizing fins are mounted at the tail of the airship. To fill in the helium, a valve is placed at the bottom of the hull. The inaugural flight was on jul. 31.2002 at the Pusan, S.korea Most environment monitoring system\ problem use satellite image. But, Low resolution satellite image (multi-spectral) : 1km ∼ 250 m ground resolutions is lows. So, detail information acquisition is hard at the complex terrain. High resolution satellite image (black and white) 30m : The ground resolution is high. But it is high price, visit cycle and delivery time is long So. We want make high accuracy airship photogrammetry system. This airship can catch picture Multi. spectral Aerial photographing (visible, Near infrared and thermal infrared), and High resolution (over 6million pixel). It can take atmosphere datum (Temperature (wet bulb, dew point, general), Pressure (static, dynamic), Humidity, wind speed). this airship is very Quickness that aircraft install time is lower than 30 minutes, it is compact and that conveyance is easy. High-capacity save image (628 cut per 1time (over 6million and 4band(R,G,B,NIR)) and this airship can save datum this High accuracy navigatin (position and rotate angle) by DGPS tech. and Gyro system. this airship will do monitor about red-tide, sea surface temperate, and CH-A, SS and etc.

• 한국측량학회지
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• 제24권1호
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• pp.37-45
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• 2006

여름철에는 집중강우에 의한 산사태, 하천범람, 하천구조물의 피해가 심각하다. 특히 토양침식의 증가는 하상퇴적과 저수량 저하 등의 홍수재해를 발생시키며, 상류에서의 침식증가는 토사의 하천범람, 농경지와 시가지 매몰의 형태로 나타난다. 현재까지의 피해현황 조사는 답사 위주의 조사가 주를 이루고 있어 효율적인 피해조사에 한계가 있으며, 따라서 효과적이며 과학적인 모델링 기법이 필요하다. 이 연구에서는 다양한 공간 해상도의 인공위성영상 분석 비교를 통해 고해상도 위성영상을 모니터링 자료원으로의 활용성을 검토하고자 하였으며, 토사재해(침식/퇴적) 피해 현황 정보의 추출 가능성을 파악하고자 하였다. 또한 위성영상의 해상도별 분석을 통하여 토사재해 피해현황판독 활용 가능성을 연구하였고, 하천 미세지형 변화의 판독을 위한 KOMPSAT 영상의 활용성을 연구하였다.

• 전자공학회논문지
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• 제50권4호
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• pp.137-143
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• 2013

고해상도 위성영상은 기상관측, 지형관측, 원격탐사, 군사시설감시, 문화재보호 등 많은 분야에서 이용된다. 위성영상은 동일한 위성영상 시스템에서 획득한 영상이라 할지라도 하드웨어(광학장치, 위성의 운용고도, 영상 센서 등)의 조건에 따라서 해상도가 저하된 영상들이 발생한다. 따라서 위성이 발사된 이후에는 이러한 해상도가 저하된 영상들의 해상도 향상을 위해서 영상시스템의 하드웨어를 변경하는 것은 불가능하므로 위성영상 자체를 이용하여 해상도를 향상시키는 방법이 필요하다. 본 논문에서는 이러한 저해상도 위성영상을 이용하여 해상도를 향상시키는 방법으로 SR(Super Resolution) 알고리즘을 사용하였다. SR 알고리즘은 다수의 저해상도 영상들의 정합을 통해 영상의 해상도를 향상시키는 알고리즘이다. 하지만 위성영상에서는 동일 지역에 대한 여러 장의 영상을 획득하기 어렵다. 따라서 본 논문에서는 이러한 문제점을 해결하기 위해 어파인 변환(Affine Transform)및 투영 변환(Projection Transform)을 적용 후 영상에 대한 기하학적 변화를 보정하여 SR 알고리즘을 수행하였다. 그 결과 SR 알고리즘만 적용한 영상보다 어파인 변환과 투영 변환을 거친 후 SR 알고리즘을 적용한 영상에서 해상도가 확실하게 더 증가되는 것을 확인하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.780-783
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• 2006

The KOrea Multi-Purpose Satellite-2 (KOMPSAT-2) was launched in July 2006 and the main mission of the KOMPSAT-2 is a high resolution imaging for the cartography of Korea peninsula by utilizing Multi Spectral Camera (MSC) images. The camera resolutions are 1 m in panchromatic scene and 4 m in multi-spectral imaging. This paper provides an initial geometric accuracy assessment of the KOMPSAT-2 high resolution image without ground control points and briefly introduces the sensor model of KOMPSAT-2. Also investigated and evaluated the obtained 3-dimensional terrain information using the MSC pass image and scene images acquired from the KOMPSAT-2 satellite.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1099-1101
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• 2003

Change detection technology, which discovers the change information on the surface of the earth by comparing and analyzing multi-temporal satellite images, can be usefully applied to the various fields, such as environmental inspection, urban planning, forest policy, updating of geographical information and the military usage. In this paper, we introduce a change detection system that can extract and analyze change elements from high-resolution satellite imagery as well as low- or middle-resolution satellite imagery. The developed system provides not only 7 pixelbased methods that can be used to detect change from low- or middle-resolution satellite images but also a float window concept that can be used in manual change detection from highresolution satellite images. This system enables fast access to the very large image, because it is constituted by OGC grid coverage components. Also new change detection algorithms can be easily added into this system if once they are made into grid coverage components.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.804-809
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• 2002

Remote sensing division of satellite technology research center (SaTReC), Korea advanced institute of science and technology (KAIST) has developed a ground receiving and processing system for high resolution satellite images. Developed system will be adapted and operated to receive, process and distributes images acquired from of the second Korean Multi-purpose Satellite (KOMPSAT-2), which will be launched in 2004. This project had initiated to develop and Koreanize the state-of-the-art technologies related to the ground receiving system fur high resolution remote sensing images, which range from direct ingestion of image data to the distribution of products through precise image correction. During four years development, the system has been verified in various ways including real operation of custom-made systems such as a prototype system for SPOT and a commercialised system for KOMPSAT-1. Currently the system is under customisation for installation at KOMPSAT-2 ground station. In this paper, we present accomplished work and future work.