• 한국레이저가공학회지
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• 제7권2호
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• pp.11-18
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• 2004

We propose a novel application of optical coherence tomography (OCT) to monitor pit formation in laser irradiated optical storage materials. A multilayer optical storage recordable compact disk, is composed of multiple layers, each of different structure. Disks were irradiated with aQ-Switched Nd:YAG laser with an energy of 373 mJ. Post-irradiated disks were evaluated by OCT and those images were compared with optical microscopy. Our results indicate that OCT is a useful instrument to investigate pit formation in multilayer optical storage disks and might also provide information to optimize optical memory technology.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.37-40
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• 2008

The purpose of this paper is to extract DEMs from Spot-3 strips using orbit modeling technique. Spot-3 stereo strip images along 420km in distance were used for experiments. The orbit modeling technique has been suggested to establish accurate geometric models for a whole strip taken on the same orbit using only a small number of GCPs on the top area of the strip. This method enables extraction of orientation parameters of the scene along the strip that is needed to generate DEMs. Consequently, we were able to extract DEMs over the areas without accurate GCPs obtained by GPS surveying per each scene. Assessment of accuracy was carried out using USGS DTED. DEMs generated from the orbit modelling technique suggested showed satisfactory performance when quantitative analysis of accuracy assessment was carried out.

• 제어로봇시스템학회논문지
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• 제14권2호
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• pp.161-167
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• 2008

This article describes the methods of a decision of the location which user points to move by an optical device like a laser pointer and a moving to that location. Using a conic mirror and CCD camera sensor, a robot observes a spot of user wanted point among an initiative, computes the location and azimuth and moves to that position. This system offers the brief data to a processor with simple devices. In these reason, we can reduce the time of a calculation to process of images and find the target by user point for carrying a robot. User points a laser spot on a point to be moved so that this sensor system in the robot, detecting the laser spot point with a conic mirror, laid on the robot, showing a camera. The camera is attached on the robot upper body and fixed parallel to the ground and the conic mirror.

• 한국군사과학기술학회지
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• 제15권2호
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• pp.155-160
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• 2012

In this paper, a strip modeling method is developed for the acquisition of target positions in remote area and validated using the imagery of SPOT satellite. This method utilizes the parameters given in header files and constructs a camera model without ground control points. In most cases, the root mean squared error of check points is less than pixel size with one ground control point. The model error of reference image is evaluated using ground control points and used to remove the model error of target images acquired along the same satellite orbit, which enables one to calculate target positions in remote area where no ground control points are available.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.40-44
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• 2002

Precision correction is the process of geometrically aligning images to a reference coordinate system using GCPs(Ground Control Points). Many applications of remote sensing data, such as change detection, mapping and environmental monitoring, rely on the accuracy of precision correction. However it is a very time consuming and laborious process. It requires GCP collection, the identification of image points and their corresponding reference coordinates. At typical satellite ground stations, GCP collection requires most of man-powers in processing satellite images. A method of automatic registration of satellite images is demanding. In this paper, we propose a new algorithm for automatic precision correction by GCP chips and RANSAC(Random Sample Consensus). The algorithm is divided into two major steps. The first one is the automated generation of ground control points. An automated stereo matching based on normalized cross correlation will be used. We have improved the accuracy of stereo matching by determining the size and shape of match windows according to incidence angle and scene orientation from ancillary data. The second one is the robust estimation of mapping function from control points. We used the RANSAC algorithm for this step and effectively removed the outliers of matching results. We carried out experiments with SPOT images over three test sites which were taken at different time and look-angle with each other. Left image was used to select UP chipsets and right image to match against GCP chipsets and perform automatic registration. In result, we could show that our approach of automated matching and robust estimation worked well for automated registration.

• Journal of Microbiology and Biotechnology
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• 제19권7호
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• pp.658-665
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• 2009

Quality control QC for spot-uniformity is a critical point in fabricating an oligonucleotide array, and quantification of targets is very important in array analysis. We developed two new types of QC probes as a means of confirming the quality of the uniformity of attached probes and the quantification of targets. We compared the signal intensities and fluorescent images of the QC and target-specific probes of arrays containing only target-specific probes and those containing both QC and target-specific probes. In a comparison of quality control methods, it was found that the arrays containing QC probes could check spot-uniformity or spot defects during all processes of array fabrication, including after spotting, after washing, and after hybridization. In a comparison of quantification results, the array fabricated by the method using QC probes showed linear and regular results because it was possible to normalize variations in spot size and morphology and amount of attached probe. This method could avoid errors originating in probe concentration and spot morphology because it could be normalized by QC probes. There were significant differences in the signal intensities of all mixtures (P<0.05). This result indicates that the method using QC probes is more useful than the ordinary method for quantification of mixed target. In the quantification of mixed targets, this method could determine a range for mixed targets of various amounts. Our results suggest that methods using QC probes for array fabrication are very useful to the quality control of spots in the fabrication processes of quantitative oligonucleotide arrays.

• 대한원격탐사학회지
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• 제17권1호
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• pp.33-44
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• 2001

본 논문은 지상기준접의 취득이 어려운 비접근 지역에 대한 위성영상에서 지형정보를 획득하기 위한 방법을 제시하였다. 먼저, 공선조건식을 기반으로 10개의 위성센서모델을 개발하고, 개발된 센서모델의 거동을 부석하기 위하여 Space Resection 및 Space Intersection을 통해 각각의 센서모델에 대한 적합성을 실험하였다. 이를 바탕으로 비접근 지역에 대한 지형정보를 취득하기 위하여 영상을 재구성하거나 Pseudo영상을 제작하고, 이에 대한 센서모델의 거동 및 정확도를 분석.제시하였다. 공선조건식을 이용한 Pushbroom 위성영상의 센서모델은 투영중심의 위치와 회전요소에 대한 6개의 외부표정요소를 영상의 행에 대한 1차, 2차 함수 또는 3차 함수로 구성하였으며, 또한 외부표정요소의 위치요소와 상관도가 높은 회전요소($\omega$, $\Phi$)를 고정된 값으로 사용하는 센서모델을 개발하였다. 비접근 지역을 위한 영상의 재구성은 동일 패스의 지상기준접이 있는 영상과 비접근 지역의 영상을 연결시켜 하나의 영상으로 재구성하거나, 지상기준점이 있는 영상과 비접근 지역의 영상으로부터 Pseudo영상을 임의로 제작하여 패스내에서 중복영역을 갖도록 구성하였다. 본 연구에서 이용한 인공위성 데이터는 서로 다른 패스에서 동일한 지역을 촬영한 SPOT 영상이며, 각각의 패스에서 두장의 연속된 영상을 이용하였다. 개발된 10개의 센서모델과 5가지의 영상 재구성 방법에 따라 비접근 지역에서의 정확도는 다르게 나타났으며, 그 중 투영중심의 위치 및 회전요소 k를 1차 함수로 표현하고 회전요소 $\omega$, $\Phi$를 고정시킨 센서모델과 Pseudo영상을 이용한 방법이 비접근 지역 30km, 60km지점의 검사점에서 각각 최대오차 30m, 60m의 결과를 보였다. 얻어진 극한하중 보다 적은 경향을 나타냈다.aeuntang were higher than the recommended value per meal. Vitamin A, vitamin C, vitamin B$_1$, vitamin B, niacin, calcium, phosphorus and iron were rich in chwotang and minmulgokimaeuntag. Onhuk contains plenty of vitamin C, vitamin B$_1$, vitamin B$_2$and the contents of vitamin A, vitamin B$_1$, and niacin in baekhapapchuk were over the recommended values per meal. The foods contained large percentage of aspartic acid and glutamic acid, and major essential amino acids appeared to be leucine and lysine. On the other hand, major fatty acids were oleic acid, linoleic acid and plamitic acid. Among them the content of oleic acid was the highest in chuotang, ochuk and baekhapchuk, whereas linoleic acid and palmitic acid were the most rich fatty acids in baekhapchuk and dasulgitang respectively.한 있을 것으로 생각된다. 그리고 본 조사는 5월부터 7월중에 실시하였는데, 한국의 경우 계절에 따라 섭취 식품의 종류가 다

• 한국측량학회:학술대회논문집
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• 한국측량학회 2004년도 춘계학술발표회논문집
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• pp.245-250
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• 2004

The classification of the satellite images is basic part in Remote sensing. In classification of the satellite images, class separability feature is very effective accuracy of the images classified. For improving classification accuracy, It is necessary to study classification methode than analysis of class separability feature deciding classification probability. In this study, IKONOS, SPOT 5, Landsat TM, were resampled to sizes 1m grid. Above images were calculated the class separability prior to the step for classification of pixels. The results of the study were valued necessary process in geometric information building. This study help to improve accuracy of classification as feature of class separability in the class through optimizing previous classification steps.

• 한국농공학회논문집
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• 제54권2호
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• pp.47-53
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• 2012

Recently many developed countries have used satellite images for classifying cropland areas to reduce time and efforts put into field survey. Korea also has used satellite images for the same purpose since KOMPSAT-2 was successfully launched and operated in 2006, but still far way to go in order to achieve the required accuracy from the products. This study evaluated the accuracy of the calculated croplands by using the objected classification method with various satellite images including ASTER, Spot-5, Rapid eye, Quickbird-2, Geo eye-1. Also, their usability and effectiveness for the cropland survey were verified by comparing with field survey data. As results. Geo eye-1 and Rapid eye showed higher accuracy to calculate the paddy field areas while Geo eye-1 and Quickbird-2 showed higher accuracy to calculate the upland field areas.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 춘계학술대회 논문집
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• pp.80-85
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• 2008

최근 도심지역이 급변하고 고해상도 위성영상의 보급이 증가함에 따라 고해상도 위성영상을 이용한 수치표고모델과 정사영상 생성에 관한 연구가 활발해 지고 있다. 본 연구에서는 IKONOS, SPOT5, QUICKBIRD, KOMPSAT2 위성영상을 이용하여 DEM 과 정사영상을 생성하였으며 USGS DTED 와 기준점을 이용하여 결과의 정확도를 비교 분석하였다. 보다 정확한 DEM 생성을 위해 자동 피라미드 알고리즘을 적용하고 영상 정합시 에피폴라 기하학을 적용하였다. 정사 영상 생성시 DTED 높이값을 이용하여 보정을 수행하였으며 생성 속도를 높이기 위하여 리샘플링 그리드를 적용하였다. 본 연구에서 DEM 과 정사영상 생성시 QUICKBIRD 와 SPOT5 의 경우 영상의 용량이 매우 커 메모리 부족문제와 알고리즘 수행 속도 저하가 발생함을 확인하였다. 이를 개선하기 위하여 DEM 생성시 정합 후보점의 개수를 줄이는 알고리즘을 고안하여 기존에 메모리 문제로 생성하지 못했던 QUICKBIRD와 SPOT5 의 DEM 을 생성하였으며 정사 영상 생성시 리샘플링 그리드를 적용하여 고해상도 정상영상 생성 속도 개선에 상당한 효과를 가져왔다. 그러나 고해상도 위성 영상의 용량이 점점 커져감에 따라 이러한 메모리 문제와 처리 속도 저하에 관한 문제는 추후 계속적으로 연구되어야 할 부분이라고 할 수 있다. 본 연구에서 생성한 IKONOS, SPOT5, QUICKBIRD DEM 의 정확도를 USGS DTED 와 비교한 결과 13${\sim}$15 m 정도의 RMS 높이 오차가 산출되었으며 생성된 IKONOS, QUICKBIRD, KOMPSAT2 정사영상을 기준점과 비교한 결과 3 m 정도의 거리오차가 산출되었음을 확인하였다.