• 대한원격탐사학회지
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• 제33권1호
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• pp.69-77
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• 2017

S The need for an automated geo-positioning approach for near real-time results and to boost cost-effectiveness has become increasingly urgent. Following this trend, a new approach to automatically compensate for the bias of the rational function model (RFM) was proposed. The core idea of this approach is to remove the bias of RFM only using tie points, which are corrected by matching with the digital elevation model (DEM) without any additional ground control points (GCPs). However, there has to be a additional evaluation according to the quality of DEM because DEM is used as a core element in this approach. To address this issue, this paper compared the quality effects of DEM in the conduct of the this approach using the Shuttle Radar Topographic Mission (SRTM) DEM with the spatial resolution of 90m. and the National Geographic Information Institute (NGII) DEM with the spatial resolution of 5m. One KOMPSAT-2 stereo-pair image acquired at Busan, Korea was used as experimental data. The accuracy was compared to 29 check points acquired by GPS surveying. After bias-compensation using the two DEMs, the Root Mean Square (RMS) errors were less than 6 m in all coordinate components. When SRTM DEM was used, the RMSE vector was about 11.2m. On the other hand, when NGII DEM was used, the RMSE vector was about 7.8 m. The experimental results showed that automated geo-positioning approach can be accomplished more effectively by using NGII DEM with higher resolution than SRTM DEM.

• 대한전자공학회논문지TC
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• 제44권4호
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• pp.40-48
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• 2007

MANET(Mobile Ad-Hoc Network) 환경의 센서 네트워크는 고정된 기반 없이 센서 노드간의 자율적이고 독립적인 네트워크를 구성한다. 또한, 네트워크를 구성하는 센서 노드의 이동으로 인한 토폴로지의 변화로 인해 데이터 처리, 제어 등을 효율적으로 관리하는데 많은 어려움이 있다. 특히, 각 센서 노드는 반드시 이동성을 고려해야 하기 때문에 에너지 사용에 대한 문제점이 발생한다. 이러한 문제를 해결하기 위해 클러스터 헤더와 멤버간 계층적 구조의 클러스터를 구성하는 기법들이 제안되었다. 하지만, 센서 노드의 센싱 파워 레벨이 일정하여 비효율적인 에너지 소비를 수반해 센서 네트워크의 에너지 불균형 및 생존 시간의 단축을 가져온다. 본 논문에서는 기존의 클러스터링 기법이 갖는 이러한 문제를 해결하기 위해 효율적 에너지 관리를 위한 지능형 클러스터링 기법을 제안하였다. 제안한 기법은 센서 노드의 이동에 따른 네트워크 토폴로지 변화에 빠르게 대응하고, 연속된 센싱을 요구하는 상황에서 기존의 기법에 비교하여 센서 노드의 생존 시간 향상을 가져온다.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2014년도 제46회 동계 정기학술대회 초록집
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• pp.207.1-207.1
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• 2014

High-mobility and two dimensional conduction at the interface between two band insulators, LaAlO3 (LAO) and SrTiO3 (STO), have attracted considerable research interest for both applications and fundamental understanding. Several groups have reported the photoconductivity of LAO/STO, which give us lots of potential development of optoelectronic applications using the oxide interface. Recently, a giant photo response of Pd nano particles/LAO/STO is observed in UV illumination compared with LAO/STO sample. These phenomena have been suggested that the correlation between the interface and the surface states significantly affect local charge modification and resulting electrical transport. Water and gas adsorption/desorption can alter the band alignment and surface workfunction. Therefore, characterizing and manipulating the electric charges in these materials (electrons and ions) are crucial for investigating the physics of metal oxide. Proposed mechanism do not well explain the experimental data in various ambient and there has been no quantitative work to confirm these mechanism. Here, we have investigated UV photo response in various ambient by performing transport and Kelvin probe force microscopy measurements simultaneously. We found that Pd nano particles on LAO can form Schottky contact, it cause interface carrier density and characteristics of persistence photo conductance depending on gas environment. Our studies will help to improve our understanding on the intriguing physical properties providing an important role in many enhanced light sensing and gas sensing applications as a catalytic material in different kinds of metal oxide systems.

• 대한원격탐사학회지
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• 제27권4호
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• pp.411-420
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• 2011

본 연구는 디지털 항공사진으로부터 세계적 생태보존 지역인 순천만 갯벌의 퇴적 침식 변화를 탐지하는데 기초자료가 될 수 있는 DEM을 제작하였다. 이를 위해, 기준점으로 초점거리를 수정하고, 순천만 갯벌영상의 적합한 매칭사이즈를 제시하였으며, 불량매칭으로 인한 과대 위치오차 제거를 위해 교차거리($P_R$) 임계치 적용방법을 제안하였다. 그리고 현지 종단측량 자료를 통해 제안방법으로 제작된 DEM을 기존 상용 S/W로 제작된 DEM과 비교하였다. 그 결과 제작한 갯벌 DEM이 상용 S/W로 제작한 DEM 보다 해상도와 최대편차(-21cm)가 더 좋은 결과를 보였다. 이러한 결과를 토대로 향후, 본 연구에서 제안한 방법으로 갯벌 DEM을 제작할 수 있을 것이라 판단된다.

• 한국통신학회논문지
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• 제37권7C호
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• pp.544-553
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• 2012

자동차 측위 기술은 충돌 경고, 적응형 주행 제어 등의 다양한 지능형 자동차 서비스들을 제공하는데 있어 필수적인 기술이다. 본 논문에서는 자동차에 장착된 레이더 등의 센서로부터 수신하는 주변 자동차들의 상대적 위치 정보와 자동차 간 통신을 통해 수신하는 주변 자동차들의 GPS 측위값을 융합하여 자기 자동차의 측위 정확도를 향상하는 융합 측위 알고리듬을 제시한다. 제안하는 알고리듬은 탐욕적 측위 데이터 매핑 알고리듬과 융합 측위보정 알고리듬으로 구성된다. 전자는 거리를 기반으로 GPS 측위값과 센싱 측위값을 대응시키고, 후자는 대수 법칙에 기반하여 자기 자동차의 GPS 측위값을 보정한다. 시뮬레이션을 통해 융합 측위 알고리듬의 RMS 측위 정확도가 기존의 GPS 기반 RMS 측위 정확도에 비해 종방향으로 30 % 이상, 횡방향으로 60 % 이상 향상할 수 있음을 보였다.

• Korean Journal of Geomatics
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• 제2권1호
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• pp.47-55
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• 2002

Remote sensing is the science and art of obtaining information about an object, area or phenomenon through the analysis of data acquired by a device that is not in contact with the object, area, or phenomenon under investigation./sup 1)/ EOC (Electro -Optical Camera) sensor loaded on the KOMPSAT-1 (Korea Multi- Purpose Satellite-1) performs the earth remote sensing operation. EOC can get high-resolution images of ground distance 6.6m during photographing; it is possible to get a tilt image by tilting satellite body up to 45 degrees at maximum. Accordingly, the device developed in this study enables to obtain images by photographing one pair of tilt image for the same point from two different planes. KOMPSAT-1 aims to obtain a Korean map with a scale of 1:25,000 with high resolution. The KOMPSAT-1 developed automated feature extraction system based on stereo satellite image. It overcomes the limitations of sensor and difficulties associated with preprocessing quite effectively. In case of using 6, 7 and 9 ground control points, which are evenly spread in image, with 95% of reliability for horizontal and vertical position, 3-dimensional positioning was available with accuracy of 6.0752m and 9.8274m. Therefore, less than l0m of design accuracy in KOMPSAT-1 was achieved. Also the ground position error of ortho-image, with reliability of 95%, is 17.568m. And elevation error showing 36.82m was enhanced. The reason why elevation accuracy was not good compared with the positioning accuracy used stereo image was analyzed as a problem of image matching system. Ortho-image system is advantageous if accurate altitude and production of digital elevation model are desired. The Korean map drawn on a scale of 1: 25,000 by using the new technique of KOMPSAT-1 EOC image adopted in the present study produces accurate result compared to existing mapping techniques involving high costs with less efficiency.

• 대한원격탐사학회지
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• 제24권3호
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• pp.223-233
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• 2008

In the mid 90's, the U.S. government released images acquired by the first generation of photo reconnaissance satellite missions between 1960 and 1972. The Declassified Intelligent Satellite Photographs (DISP) from the Corona mission are of high quality with an astounding ground resolution of about 2 m. The KH-4A panoramic camera system employed a scan angle of $70^{\circ}$ that produces film strips with a dimension of $55\;mm\;{\times}\;757\;mm$. Since GPS/INS did not exist at the time of data acquisition, the exterior orientation must be established in the traditional way by using control information and the interior orientation of the camera. Detailed information about the camera is not available, however. For reconstructing points in object space from DISP imagery to an accuracy that is comparable to high resolution (a few meters), a precise camera model is essential. This paper is concerned with the derivation of a rigorous mathematical model for the KH-4A/B panoramic camera. The proposed model is compared with generic sensor models, such as affine transformation and rational functions. The paper concludes with experimental results concerning the precision of reconstructed points in object space. The rigorous mathematical panoramic camera model for the KH-4A camera system is based on extended collinearity equations assuming that the satellite trajectory during one scan is smooth and the attitude remains unchanged. As a result, the collinearity equations express the perspective center as a function of the scan time. With the known satellite velocity this will translate into a shift along-track. Therefore, the exterior orientation contains seven parameters to be estimated. The reconstruction of object points can now be performed with the exterior orientation parameters, either by intersecting bundle rays with a known surface or by using the stereoscopic KH-4A arrangement with fore and aft cameras mounted an angle of $30^{\circ}$.

• 대한원격탐사학회지
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• 제24권5호
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• pp.483-496
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• 2008

Qualified ground control points (GCPs) are required to construct a digital elevation model (DEM) from a pushbroom stereo pair. An inverse geolocation algorithm for extracting GCPs from ERS SAR data and the SRTM DEM was recently developed. However, not all GCPs established by this method are accurate enough for direct application to the geometric correction of pushbroom images such as SPOT, IRS, etc, and thus a method for selecting and removing inaccurate points from the sets of GCPs is needed. In this study, we propose a method for evaluating GCP accuracy and winnowing sets of GCPs through orientation modeling of pushbroom image and validate performance of this method using SPOT stereo pair of Daejon City. It has been found that the statistical distribution of GCP positional errors is approximately Gaussian without bias, and that the residual errors estimated by orientation modeling have a linear relationship with the positional errors. Inaccurate GCPs have large positional errors and can be iteratively eliminated by thresholding the residual errors. Forty-one GCPs were initially extracted for the test, with mean the positional error values of 25.6m, 2.5m and -6.1m in the X-, Y- and Z-directions, respectively, and standard deviations of 62.4m, 37.6m and 15.0m. Twenty-one GCPs were eliminated by the proposed method, resulting in the standard deviations of the positional errors of the 20 final GCPs being reduced to 13.9m, 8.5m and 7.5m in the X-, Y- and Z-directions, respectively. Orientation modeling of the SPOT stereo pair was performed using the 20 GCPs, and the model was checked against 15 map-based points. The root mean square errors (RMSEs) of the model were 10.4m, 7.1m and 12.1m in X-, Y- and Z-directions, respectively. A SPOT DEM with a 20m ground resolution was successfully constructed using a automatic matching procedure.

• 대한원격탐사학회지
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• 제35권3호
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• pp.471-482
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• 2019

달 탐사용 고해상도 스테레오 카메라의 임무는 달 궤도선 및 착륙 선에 탑재되어 달 표면의 3차원 지형정보를 제공하는데 있다. 이를 통해, 달 착륙 후보지를 탐색하고 착륙 시에는 달 표면 근접에 따른 근거리 입체영상을 실시간으로 제공하여 정확한 지점에 착륙이 가능하도록 한다. 본 논문에서는 달 탐사선에 탑재되는 달 탐사용 고해상도 카메라 개발을 위한 지상모델인 다기능 스테레오 카메라를 활용하여 고해상도 스테레오 카메라에 요구되는 임무를 검증하고 결과를 분석하기 위해 지상검증 및 분석 시스템을 제안하였다. 지상검증 및 분석 시스템은 임무 검증을 위한 임무검증항목과 시험계획을 제공하며, 시험 수행 후 결과를 분석하게 된다. 이를 위해 본 논문에서는 달 지형과 유사한 지역을 대상으로 지상 임무항목시험 계획을 세우고, 항공촬영을 통해 스테레오 영상을 획득하였다. 분석장치를 통해 스테레오 영상으로부터 영상을 보정 및 매칭 후 수치표고모델(DEM)을 추출하고 3차원 영상을 생성하여 결과를 분석하였다. 달 탐사용 고해상도 카메라에 요구되는 임무수행항목이 검증되었고, 스테레오 영상을 처리할 수 있는 지상처리분석 시스템이 확보 되었다.

• 대한원격탐사학회지
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• 제36권6_2호
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• pp.1551-1565
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• 2020

On April 4, 2019, a forest fire started in Goseong County and lasted for three days, burning the neighboring areas of Sokcho. The strong winds moved the blaze from one region to another region and declared the worst wildfire in South Korea in years. More than 1,880 facilities, including 400 homes, were burnt down. The fire burned a total area of 529 hectares (1,307 acres), which involved 13,000 rescuers and 16,500 military troops to control the fire occurrence. Thousands of people were evacuated, and two people are dead. This study generated post-wildfire maps to provide necessary data for evacuation and mitigation planning to respond to this destructive wildfire, also prevent further damage and restore the area affected by the wildfire. This study used KOMPSAT-3A and Sentinel-2 imagery to map the post-wildfire condition. The SVM showed higher accuracy (overall accuracy 95.29%) compared with ANN (overall accuracy of 94.61%) for the KOMPSAT-3A. Moreover, for Sentinel-2, the SVM attained a higher accuracy (overall accuracy of 91.52%) than the ANN algorithm (overall accuracy 90.11%). In total, four post-wildfire burned area maps were generated; these results can be used to assess the area affected by the Sokcho wildfire and wildfire mitigation planning in the future.