• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.214-218
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• 1999

The aim of our study is to develop new algorism for sea fog detection by using Geostational Meteorological Satellite-5(GMS-5) and suggest the techniques of its continuous detection. So as to detect daytime sea fog/stratus(00UTC, May 10, 1999), visible accumulated histogram method and surface albedo method are used. The characteristic value during daytime showed A(min) > 20％ and DA < 10％ when visble accumulated histogram method was applied. And the sea fog region which detected is of similarity in composite image and surface albedo method. In case of nighttime sea fog(18UTC, May 10, 1999), infrared accumulated histogram method and maximum brightness temperature method are used, respectively. Maximum brightness temperature method(T_max method) detected sea fog better than IR accumulated histogram method. In case of T_max method, when infrared value is larger than T_max, fog is detected, where T_max is an unique value, maximum infrared value in each pixel during one month. Then T_max is beneath 700hpa temperature of GDAPS(Global Data Assimilation and Prediction System). Sea fog region which detected by T_max method was similar to the result of National Oceanic and Atmosheric Administration/Advanced Very High Resolution Radiometer (NOAA/AVHRR) DCD(Dual Channel Difference). But inland visibility and relative humidity didn't always agreed well.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2017년도 춘계공동학술대회
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• pp.157-157
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• 2017

To minimize the damage by wild birds and acquire the benefits such as protection against weeds and maintenance of water content in soil, the mulching black color vinyl after seeding should be carried out. Non-contact and non-destructive methods that can continuously determine the locations are necessary. In this study, a crop position detection method was studied that uses infrared thermal image sensor to determine the cotyledon position under vinyl mulch. The moving system for acquiring image arrays has been developed for continuously detecting crop locations under plastic mulching on the field. A sliding mechanical device was developed to move the sensor, which were arranged in the form of a linear array, perpendicular to the array using a micro-controller integrated with a stepping motor. The experiments were conducted while moving 4.00 cm/s speed of the IR sensor by the rotational speed of the stepping motor based on a digital pulse width modulation signal from the micro-controller. The acquired images were calibrated with the spatial image correlation. The collected data were processed using moving averaging on interpolation to determine the frame where the variance was the smallest in resolution units of 1.02 cm. Non-linear integral interpolation was one of method for analyzing the frequency using the normalization image and then arbitrarily increasing the limited data value of $16{\times}4pixels$ in one frame. It was a method to relatively reduce the size of overlapping pixels by arbitrarily increasing the limited data value. The splitted frames into 0.1 units instead of 1 pixel can propose more than 10 times more accurate and original method than the existing correction method. The non-integral calibration method was conducted by applying the subdivision method to the pixels to find the optimal correction resolution based on the first reversed frequency. In order to find a correct resolution, the expected location of the first crop was indicated on near pixel 4 in the inversion frequency. For the most optimized resolution, the pixel was divided by 0.4 pixel instead of one pixel to find out where the lowest frequency exists.

• 한국콘텐츠학회논문지
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• 제10권7호
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• pp.40-48
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• 2010

자외선 사진은 범죄수사, 고고학, 피부의학 등 다양한 분야에서 활용되고 있다. 과거 자외선 사진은 일반적인 흑백필름을 이용하여 촬영하는 경우가 대부분이었는데, 그 이유는 필름의 감광유제로 사용되는 할로겐화은(AgX)성분이 카메라의 센서인 CCD(Charge Coupled Device)혹은 CMOS(Complementary Metal-Oxide-Semiconductor)에 비해 자외선에 민감하기 때문이다. 이에 본 논문에서는 보급형 디지털 카메라를 사용하여 자외선 사진의 화질을 개선시키고, 자외선 사진을 위한 최적의 디지털 카메라 특성을 찾는 것을 목적으로 하였다. 이를 위해 디지털 카메라의 적외선 차단 필터를 제거하고, 자외선 투과필터의 개조를 통해 자외선 사진의 화질향상 여부를 검증하였다. 또한 센서의 종류와 크기, 화소수에 따른 자외선 사진의 재현성을 화질측정 요소들을 통해 분석하였으며, 이를 통해 디지털을 이용한 자외선 사진에 가장 적합한 카메라 특성을 찾고자 하였다. 나아가 본 논문을 통해 일반 디지털 카메라를 활용한 자외선 촬영 시스템을 구축할 수 있을 것이며, 이는 결국 디지털 자외선 사진의 폭넓은 활용에 기여할 것으로 기대된다.

• 천문학회보
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• 제36권2호
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• pp.125.1-125.1
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• 2011

After a short description of the observatory, this presentation will highlight some of the most recent scientific achievements based on CFHT observations and how they benefit from the current instrumentation and novel observing modes proposed to the CFHT users. We will then move to the mid-term future with the development of new spectroscopic capabilities (visible wide-field FTS or near-IR spectro-polarimetry) and the study of a novel wide-field imager in the visible using Ground-Layer AO to provide unprecedented image quality on a large field of view. As an option for the long-term future, the concept of a next generation 10-m class telescope to replace the current CFHT 3.6-m will be described. An emphasis will be given on how CFHT is slowly morphing into an Asia-Pacific Rim observatory and on the role the Korean community could play in such an endeavor, from immediate access to first-class astronomical data to partnering with other nations in exciting developments.

• 전자공학회논문지CI
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• 제45권2호
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• pp.1-9
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• 2008

휴대폰에서 보안 필요성이 증가함에 따라 개인 인증을 위하여 홍채, 지문, 얼굴과 같은 단일 생체 정보를 이용한 많은 연구들이 진행되었으나 단일 생체 인식에서는 인식 정확도에 한계가 있었다. 따라서 본 논문에서는 휴대폰 환경에서 고 인식율을 위해 얼굴과 홍채를 결합하는 방법에 대해 제안한다. 본 논문에서는 근적외선 조명과 근적외선 통과 필터를 부착한 휴대폰의 메가 픽셀 카메라를 사용하여 근적외선 얼굴 및 홍채 영상을 동시에 취득한 후, SVM(Support Vector Machine)을 기반으로 스코어 레벨에서 결합하였다. 또한, 저 연산의 로가리듬(Logarithm) 알고리즘을 사용한 얼굴 데이터의 조명 변화에 대한 정규화와 극 좌표계 변환 및 홍채 코드의 비트 이동 매칭에 의한 홍채 영역의 이동, 회전, 확대 및 축소에 대한 정규화를 통해 SVM의 분류 복잡도와 얼굴, 홍채 데이터의 본인 변화도를 최소화함으로써 인식 정확도를 향상시켰으며, 저 연산의 휴대폰 환경에서 정수혈 기반의 얼굴 및 홍채 인식 알고리즘을 사용하여 처리시간을 향상시켰다. 실험 결과, SVM을 사용한 인식의 정확성이 단일 생체(얼굴 또는 홍채), SUM, MAX, MIN 그리고 Weighted SUM을 사용하는 것보다 우수한 것을 알 수 있었다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2000년도 춘계 학술대회 논문집 통권 3호 Proceedings of the 2000 KSRS Spring Meeting
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• pp.49-54
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• 2000

Conventional methods for measuring winds provide wind velocity observations over limited area and time period. The use of satellite imagery for measuring wind velocity overcomes some of these limitations by providing wide area and near condinuous coverage. And its accurate depiction is essential for operational weather forecasting and for initialization of NWP models. GMS-5 provides full disk images at hourly intervals. At four times each day - 0500, 1100, 1700, 2300 hours UTC-a series of three images is received, separated by thirty minutes, centered at the four times. The current wind system generates winds from sets of 3 infrared(IR) images, separated by an hour, four times a day. It also produces visible(VIS) and water vapor(WV) image-based winds from half-hourly imagery four times a day. The derivation of wind from satellite imagery involves the identification of suitable cloud targets. tracking the targets on sequential images, associating a pressure height with the derived wind vector, and quality control. The aim of this research is to incorporate imagery from other available spectral channels and examine the error characteristics of winds derived from these images.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2013년도 제45회 하계 정기학술대회 초록집
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• pp.127.2-127.2
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• 2013

오늘날 유기고분자기반 태양전지는 다른 태양전지와 비교될 정도로 낮은 광변환효율로 인해 효율향 상을 위한 많은 연구들이 진행되어 왔다. 그중 패터닝을 통한 광포집률과 charge carrier 수집효율이 증가되었다는 많은 보고들이 있었다. 따라서 우리는 200~1,400 nm polystyrene bead를 합성하여 air-liquid interfacial 방법을 이용해 2차원 육방조밀구조를 갖는 template를 형성하고 Nanosphere lithography (NSL)를 이용하여 대면적으로 균일한 poly(3,4-ethylenedioxythiophene) poly(styrenesulfonate) (PEDOT:PSS)를 패턴화하였다. 균일한 패턴형성을 측정하기위해 Field Emission Scanning Electron Microscopy (FE-SEM), image를 얻었으며, Atomic Force Microscopy (AFM)를 통해 형성된 패턴의 낙차 높이를 얻었고, Near IR-UV-Vis을 통해 bead size 변화에따라 얻어진 PEDOT:PSS 패턴의 반사율을 측 정하였다.

• 대한방사선치료학회지
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• 제31권2호
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• pp.25-31
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• 2019

목 적: 본 연구는 두경부암 환자의 kVCT와 MVCT영상에서 치아 인공물의 체적을 비교하고, MVCT영상에서 치아체적을 얻은 후 kVCT영상에 배정하여 치아체적 및 주변 정상조직의 전자밀도 교정 후 치료계획체적(PTV) 선량변화를 평가하고자 하였다. 대상 및 방법: 본원의 Radixact^® X9에서 세기조절방사선치료를 받은 5명의 두경부암 환자를 대상으로 하였다. 환자의 MVCT영상에서 치아 및 주변 정상조직의 체적을 그린 후 kVCT영상에 영상정합 후 역방향 전산화 치료계획을 실시하였다. 처방선량지수와 선량균질지수를 이용하여 PTV 선량을 평가하였다. 결 과: kVCT영상과 MVCT영상에서 얻은 금속 인공물의 체적을 비교한 결과 평균 3.49±2.61cc, 최대 7.43cc의 차이를 보였다. PTV는 내부 치아가 충분히 포함된 곳으로 제한하였으며, PTV 선량평가 결과 인공물을 보정하지 않은 kVCT의 전산화치료계획의 CI값의 평균은 0.86, MVCT영상을 통해 인공물을 보정 한 kVCT의 CI값은 평균 0.9로 평가되었다. 결 론: 금속 인공물의 보정 없이 전산화치료계획이 이루어졌을 때 PTV의 선량이 저평가 되어 선량 불확실성이 발생됨을 알 수 있었다.

• 대기
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• 제22권1호
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• pp.29-45
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• 2012

An unusual autumn storm developed rapidly in the western part of the East sea on the early morning of 23 October 2006. This storm produced a record-breaking heavy rain and strong wind in the northern and middle part of the Yeong-dong region; 24-h rainfall of 304 mm over Gangneung and wind speed exceeding 63.7 m $s^{-1}$ over Sokcho. In this study, MTSAT-1R (Multi-fuctional Transport Satellite) water vapor and infrared channel imagery are examined to find out some features which are dynamically associated with the development of the storm. These features may be the precursor signals of the rapidly developing storm and can be employed for very short range forecast and nowcasting of severe storm. The satellite features are summarized: 1) MTSAT-1R Water Vapor imagery exhibited that distinct dark region develops over the Yellow sea at about 12 hours before the occurrence of maximum rainfall about 1100 KST on 23 October 2006. After then, it changes gradually into dry intrusion. This dark region in the water vapor image is closely related with the positive anomaly in 500 hPa Potential Vorticity field. 2) In the Infrared imagery, low stratus (brightness temperature: $0{\sim}5^{\circ}C$) develops from near Bo-Hai bay and Shanfung peninsula and then dissipates partially on the western coast of Korean peninsula. These features are found at 10~12 hours before the maximum rainfall occurrence, which are associated with the cold and warm advection in the lower troposphere. 3) The IR imagery reveals that two convective cloud cells (brightness temperature below $-50^{\circ}C$) merge each other and after merging it grows up rapidly over the western part of East sea at about 5 hours before the maximum rainfall occurrence. These features remind that there must be the upward flow in the upper troposphere and the low-layer convergence over the same region of East sea. The time of maximum growth of the convective cloud agrees well with the time of the maximum rainfall.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.262-266
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• 1999

Several commercial companies that plan to provide improved panchromatic and/or multi-spectral remote sensor data in the near future are suggesting that merge datasets will be of significant value. This study evaluated the utility of one major merging process-process components analysis and its inverse. The 6 bands of 30$\times$30m Landsat TM data and the 10$\times$l0m SPOT panchromatic data were used to create a new 10$\times$10m merged data file. For the image classification, 6 bands that is 1st, 2nd, 3rd, 4th, 5th and 7th band may be used in conjunction with supervised classification algorithms except band 6. One of the 7 bands is Band 6 that records thermal IR energy and is rarely used because of its coarse spatial resolution (120m) except being employed in thermal mapping. Because SPOT panchromatic has high resolution it makes 10$\times$10m SPOT panchromatic data be used to classify for the detailed classification. SPOT as the Landsat has acquired hundreds of thousands of images in digital format that are commercially available and are used by scientists in different fields. After the merged, the classifications used supervised classification and neural network. The method of the supervised classification is what used parallelepiped and/or minimum distance and MLC(Maximum Likelihood Classification) The back-propagation in the multi-layer perception is one of the neural network. The used method in this paper is MLC(Maximum Likelihood Classification) of the supervised classification and the back-propagation of the neural network. Later in this research SPOT systems and images are compared with these classification. A comparative analysis of the classifications from the TM and merged SPOT/TM datasets will be resulted in some conclusions.