• 대한원격탐사학회지
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• 제16권3호
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• pp.235-242
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• 2000

본 논문에서는 그림자 정보를 사용하여 위성 영상에서 건물을 검출하는 기법을 제안한다. 비교적 일정한 밝기값 분포를 가지는 건물을 검출하기위해 영상을 건물, 그림자 그리고 배경의 세가지 영역으로 분류한다. 건물 영역 및 그림자 영역에 대해 잡음을 제거하고 그림자 영역에 인접한 건물을 건물과 그림자 크기에 대한 제약 조건을 적용하여 검출한다. 본 논문에 사용된 영상은 KOMPSAT 위성영상과 SPOT 위성영상을 사용하였으며 위성영상내의 건물을 효과적으로 검출할 수 있었다.

• 대한원격탐사학회지
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• 제15권4호
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• pp.357-365
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• 1999

The optical sensors of Electro-Optical Camera (EOC) and Ocean Scanning Multi-spectral Imager (OSMI) aboard the KOrea Multi-Purpose SATellite (KOMPSAT) will be placed in a sun synchronous orbit in late 1999. The EOC and OSMI sensors are expected to produce the land mapping imagery of Korean territory and the ocean color imagery of world oceans, respectively. Utilization of the EOC and OSMI data would encompass the various fields of science and technology such as land mapping, land use and development, flood monitoring, biological oceanography, fishery, and environmental monitoring. Readiness of data support for user community is thus essential to the success of the KOMPSAT program. As a part of testing such readiness prior to the KOMPSAT launch, we have performed the preliminary acceptance test for the KOMPSAT data processing system using the simulated EOC and OSMI data sets. The purpose of this paper is to demonstrate the readiness of the KOMPSAT data processing system, and to help data users understand how the KOMPSAT EOC and OSMI data are processed, archived, and provided. Test results demonstrate that all requirements described in the data processing specification have been met, and that the image integrity is maintained for all products. It is however noted that since the product accuracy is limited by the simulated sensor data, any quantitative assessment of image products can not be made until actual KOMPSAT images will be acquired.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.365-367
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• 2008

A digital city model represents a 3D environment of a city with various city object information such as 3D building model, road, and land cover. Usually, at least two satellite images with some image overlap are necessary and a complex satellite-related computation needs to be carried out to create a city model. This is an expensive technique, because it requires many resources and excessive computational cost. The authors propose a methodology to create a digital city model including 3D building model and land cover information from a single high resolution satellite image. The approach consists of image pan-sharpening, shadow recovery, building occlusion restoration, building model extraction, and land cover classification. We create a digital city model using a single KOMPSAT-2 image and review the result.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.526-529
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• 2007

Due to its inherent feature of high-resolution satellite, there is strong need in some specific area to minimize the processing time required to get a standard image on hand from downlink signal acquisition. However, in general image processing system, it takes considerable time to get image data up to certain level from raw data acquisition because the huge amount of data is dealt sequentially as input data. This paper introduces the high-speed image processing system which generates the image data only for the area selected by user. To achieve the high speed performance, this system includes Quick Look Image display function with sampling, ROI selection function, Image Line Index function, and Distributed processing function. The developed RPS was applied to KOMPSAT-2 320Mbps downlink channel and its effectiveness was successfully demonstrated. This feature to provide the image product very quickly is expected to promote the application of high resolution satellite image.

• 한국측량학회지
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• 제37권5호
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• pp.315-322
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• 2019

DSM (Digital Surface Model) is a digital representation of ground surface topography or terrain that is widely used for hydrology, slope analysis, and urban planning. Aerial photogrammetry and LiDAR (Light Detection And Ranging) are main technology for urban DSM generation but high-resolution satellite imagery is the only ingredient for remote inaccessible areas. Traditional automated DSM generation method is based on correlation-based methods but recent study shows that a modern pixelwise image matching method, SGM (Semi-Global Matching) can be an alternative. Therefore this study investigated the application of SGM for Kompsat satellite data of KARI (Korea Aerospace Research Institute). Firstly, the sensor modeling was carried out for precise ground-to-image computation, followed by the epipolar image resampling for efficient stereo processing. Secondly, SGM was applied using different parameterizations. The generated DSM was evaluated with a reference DSM generated by the first pulse returns of the LIDAR reference dataset.

• 대한원격탐사학회지
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• 제37권6_3호
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• pp.1923-1929
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• 2021

지구관측위성은 다양한 분야에서 활용되고 있으며 높은 활용성과 시장성으로 인해 많은 국가에서 개발 하고 있다. 우리나라는 국가 우주개발 계획에 따라 다양한 지구관측위성을 개발하고 있으며, 그 중에서 다목적 실용위성 시리즈는 가장 대표적인 저궤도 위성이다. 지금까지 총 5기의 다목적실용위성이 발사되어 국가 영상 수요를 충족하고 있으며, 국가기관을 비롯하여 다양한 분야에서 활용되고 있다. 본 특별호에서는 다목적실용 위성 시리즈의 다양한 영상자료를 이용한 자료처리, 분석 및 활용과 관련된 연구에 대해서 소개하고자 한다. 한편 후속 다목적실용위성 영상자료의 차질 없는 활용을 위해서는 고해상도 영상에 적합한 자료처리 및 활용 연구가 계속되어야 하며, 특별호를 통해서 관련 연구 내용이 지속적으로 공유될 수 있도록 할 예정이다.

• 대한원격탐사학회지
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• 제33권1호
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• pp.1-13
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• 2017

This study investigates the geometric and spatial image quality analysis of KOMPSAT-3A stereo pair. KOMPSAT-3A is, the latest satellite of KOMPSAT family, a Korean earth observation satellite operating in optical bands. A KOMPSAT-3A stereo pair was taken on 23 November, 2015 with 0.55 m ground sampling distance over Terrassa area of Spain. The convergence angle of KOMPSAT-3A stereo pair was estimated as $58.68^{\circ}$. The investigation was assessed through the evaluation of the geopositioning analysis, image quality estimation and the accuracy of automatic Digital Surface Model (DSM) generation and compared with those of KOMPSAT-3 stereo pair with the convergence angle of $44.80^{\circ}$ over the same area. First, geopositioning accuracy was tested with initial rational polynomial coefficients (RPCs) and after compensating the biases of the initial RPCs by manually collected ground control points. Then, regarding image quality, relative edge response was estimated for manually selected points visible from two stereo pairs. Both of the initial and bias-compensated positioning accuracy and the quality assessment result expressed that KOMPSAT-3A images showed higher performance than those of KOMPSAT-3 images. Finally, the accuracy of DSMs generated from KOMPSAT-3A and KOMPSAT-3 stereo pairs were examined with respect to the reference LiDAR-derived DSM. The various DSMs were generated over the whole coverage of individual stereo pairs with different grid spacing and over three types of terrain; flat, mountainous and urban area. Root mean square errors of DSM from KOMPSAT-3A pair were larger than those for KOMPSAT-3. This seems due to larger convergence angle of the KOMPSAT-3A stereo pair.

• Journal of Astronomy and Space Sciences
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• 제27권4호
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• pp.345-352
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• 2010

Korea multi-purpose satellite-5 (KOMPSAT-5) is a low earth orbit (LEO) satellite scheduled to be launched in 2010. To satisfy the precision orbit determination (POD) requirement for a high resolution synthetic aperture radar image of KOMPSAT-5, KOMPSAT-5 has atmosphere occultation POD (AOPOD) system which consists of a space-borne dual frequency global positioning system (GPS) receiver and a laser retro reflector array. A space-borne dual frequency GPS receiver on a LEO satellite provides position data for the POD and radio occultation data for scientific applications. This paper describes an overview of AOPOD system and operation concepts of the radio occultation mission in KOMPSAT-5. We showed AOPOD system satisfies the requirements of KOMPSAT-5 in performance and stability.

• 대한원격탐사학회지
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• 제36권4호
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• pp.545-555
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• 2020

This paper focuses on automatic image registration between EO (Electro-Optical) and IR (InfraRed) satellite images with different spectral properties using block-based approach and simple preprocessing technique to enhance the performance of feature matching. If unpreprocessed EO and IR images from Kompsat-3A satellite were applied to local feature matching algorithms(Scale Invariant Feature Transform, Speed-Up Robust Feature, etc.), image registration algorithm generally failed because of few detected feature points or mismatched pairs despite of many detected feature points. In this paper, we proposed a new image registration method which improved the performance of feature matching with block-based registration process on 9-divided image and pre-processing technique based on adaptive histogram equalization. The proposed method showed better performance than without our proposed technique on visual inspection and I-RMSE. This study can be used for automatic image registration between various images acquired from different sensors.

• 대한원격탐사학회지
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• 제19권6호
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• pp.447-456
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• 2003

본 연구에서는 KOMPSAT-1 위성에서 취득한 EOC Pass 영상과 scene 영상의 기하정확도를 평가함으로써, 비접근지역에 대한 3차원 지형정보 추출 방안에 대하여 연구하였다. 이를 위하여 다음과 같은 4가지 실험을 수행하여 KOMPSAT-1 EOC 위성데이터의 정확도를 평가하였다. 1) KOMPSAT-1 전처리 시스템으로 처리된 Level 1R의 ancillary 데이터와 영상좌표를 이용한 지상좌표계산 2) 보조자료를 이용하여 계산된 두 영상의 지상좌표를 공간교차이론으로 지상 3차원좌표 계산 3) 입체 Pass 영상의 일부분(KOMPSAT-1 EOC, 1 scene size)에서 획득된 GCP(Ground Control Point)을 이용하여 Bundle adjustment을 수행하고, 그 결과 계산된 외부표정요소로 지상좌표의 계산 4) 3)에서 계산된 외부표정요소를 이용하여 전체 Pass 영상에 적용하여 정확도를 평가하였다.