• Journal of Forest and Environmental Science
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• 제30권2호
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• pp.233-242
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• 2014

Estimating above-ground biomass is important in establishing an applicable methodology of Measurement, Reporting and Verification (MRV) System for Reducing Emissions from Deforestation and Forest Degradation-Plus (REDD+). We developed an estimation model of diameter at breast height (DBH) from IKONOS-2 image that led to above-ground biomass estimation (AGB). The IKONOS image was preprocessed with dark object subtraction and topographic effect correction prior to watershed segmentation for tree crown delineation. Compared to the field observation, the overall segmentation accuracy was 64%. Crown detection percent had a strong negative correlation to tree density. In addition, satellite-based crown area had the highest correlation with the field measured DBH. We then developed the DBH allometric model that explained 74% of the data variance. In average, the estimated DBH was very similar to the measured DBH as well as for AGB. Overall, this method can potentially be applied to estimate AGB over a relatively large and remote tropical forest in Northern Borneo.

• 한국컴퓨터정보학회논문지
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• 제29권3호
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• pp.11-20
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• 2024

AI(Artificial Intelligence)의 다양한 모델 중 생성 모델, 특히 GAN(Generative Adversarial Network)은 이미지 처리, 밀도 추정, 스타일 전이 등 다양한 응용 분야에서 성공을 거두었다. 이러한 GAN은 CGAN(Conditional GAN), CycleGAN, BigGAN 등의 방식으로 확장 및 개선되었지만 재난 시뮬레이션, 의료 분야, 도시 계획 등 특정 분야에서는 데이터 부족과 불안정한 학습에 의한 이미지 왜곡 문제로 실제 시스템 적용에 문제가 되고 있다. 본 논문에서는 클래스 항목을 판별하는 ACGAN(Auxiliary Classifier GAN) 구조를 기반으로 기존 PGGAN(Progressive Growing of GAN)의 점진적 학습 방식을 활용한 새로운 점진적 단계의 학습 방법론 PST(Progressive Step Training)를 제안한다. PST 모델은 기존 방법 대비 70.82% 빠른 안정화, 51.3% 낮은 표준 편차, 후반 고해상도의 안정적 손실값 수렴 그리고 94.6% 빠른 손실 감소를 달성한다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.277-279
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• 2003

The study utilizes remote sensing as the main monitoring means. With different spatial high-resolution, multichannel ASTER remote sensing image as the main information in Beijing city zone; with regional border and statistical data as auxiliary factor a study between the thermal space distribution character and the underground medium is analyzed based on the GIS logical algorithm and synthetic analysis technology. Results show thermal forming mechanism and the rule of distribution is mainly related to the underground medium and the change of the city distribution. Different underground medium has different degree and intensity influence on the thermal space distribution. Furthermore, urban greenbelt and water areas can reduce the thermal effect and large-scale greenbelt creates green island effect. In addition, Road net, residential area, population density, heat resources and so on have some positive effect on the thermal distribution, which increase the local temperature and intensity on the other hand. It is important to study the thermal distribution and its related factors, which contributes to the plan, construction and development of the city.

• 천문학회보
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• 제46권2호
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• pp.71.1-71.1
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• 2021

We perform disk-halo decomposition of the Large Magellanic Cloud (LMC) using a novel HI velocity field extraction method, aimed at better deriving its HI kinematics and thus mass distribution in the galaxy including both baryons and dark matter. We decompose all the line-of-sight velocity profiles of the combined HI data cube of the LMC, taken from the Australia Telescope Compact Array (ATCA) and Parkes radio telescopes with an optimal number of Gaussian components. For this, we use a novel tool, the so-called BAYGAUD which performs profile decomposition based on Bayesian MCMC techniques. From this, we disentangle turbulent non-ordered HI gas motions from the decomposed gas components, and produce an HI bulk velocity field which better follows the global circular rotation of the galaxy. From a 2D tilted-ring analysis of the HI bulk velocity field, we derive the rotation curve of the LMC after correcting for its transverse, nutation and precession motions. The dynamical contributions of baryons like stars and gaseous components which are derived using the Spitzer 3.6 micron image and the HI data are then subtracted from the total kinematics of the LMC. Here, we present the bulk HI rotation curve, the mass models of stars and gaseous components, and the resulting dark matter density profile of the LMC.

• Bulletin of the Korean Chemical Society
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• 제29권2호
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• pp.438-444
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• 2008

A self-assembled monolayer of 2,2'-bipyridine (22BPY) molecules on Au(111) underwent a structural phase transition when the polarity of a bias voltage was switched in scanning tunneling microscopy (STM) experiments. The nature of two bright spots representing each 22BPY molecule on Au(111) in the high-resolution STM images was identified by calculating the partial density plots for a monolayer of 22BPY molecules adsorbed on Au(111) using tight-binding electronic structure calculations. The stacking pattern of the chains of 22BPY molecules on Au(111) was explained by examining the intermolecular interactions between the 22BPY molecules based on first principles electronic structure calculations for a 22BPY dimer, (22BPY)2. The structural instability of the 22BPY molecule arrangement caused by a change in the bias voltage switch was investigated by estimating the adsorbate-surface interaction energy using a point-charge approximation for Au(111).

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2002년도 Proceedings
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• pp.418-421
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• 2002

Fundamental study on quasi-monochromatic parallel radiography using a polycapillary plate and a plane-focus x-ray tube is described. The x-ray generator consists of a negative high-voltage power supply, a filament (hot cathode) power supply, and an x-ray tube. The negative high-voltage is applied to the cathode electrode, and the transmission type target (anode) is connected to the ground potential. The maximum voltage and current of the power supply were -100 kV (peak value) and 3.0 mA, respectively. In this experiment, the tube voltage was regulated from 20 to 25 kV, and the tube current was regulated by the filament temperature and ranged from 1.0 to 3.0 mA. The exposure time is controlled in order to obtain optimum film density, and the focal spot diameter was about 10 mm. The polycapillary plate is J5022-21 made by Hamamatsu Photonics Inc., and the outside and effective diameters are 87 and 77 mm, respectively. The thickness and the hole diameter of the polycapillary are 1.0 mm and 25 ${\mu}$m, respectively. The x-rays from the tube are formed into parallel beam by the polycapillary, and the radiogram is taken using an industrial x-ray film of Fuji IX 100 without using a screen. In the measurement of image resolution, we employed three brass spacers of 2, 30, and 60 mm in height. By the test chart, the resolution fell according to increases in the spacer height without using a polycapillary. In contrast, the resolution slightly fell with corresponding increases in the height by the polycapillary. In angiography, fine blood vessels of about 100 ${\mu}$m are clearly visible.

• 한국산학기술학회논문지
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• 제11권8호
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• pp.3076-3082
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• 2010

영상 압축 코덱(Codec)을 활용하여 군 혹은 민간 분야에서 다양한 기술과 제품들이 출시되고 있다. 기존 고성능 PC환경 하에서 영상 압축 코덱의 프로세스는 큰 문제가 되지 않았지만, 제한적인 시스템 자원을 가지는 임베디드 시스템 환경에서는 고해상도의 영상을 고밀도 압축하면서 발생하는 시스템 부하로 인하여 성능 및 활용도가 제한되는 문제가 부각되고 있는 상황이다. 본 논문에서는 임베디드 시스템 환경 상 기존 소프트웨어 알고리즘 형태의 영상 압축 방식에 대한 성능 및 주변 장치 연동 인터페이스 제약에 대한 해결책으로서 하드웨어 방식의 영상 압축코덱성능 최적화, 외부 장치 연동의 편의성 및 확장성을 부각하기 위한 DirectShow 필터 인터페이스화를 제안하였고 검증을 위해 임베디드 시스템을 구현해서 시뮬레이션 하였다.

• 융합신호처리학회논문지
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• 제5권2호
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• pp.165-171
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• 2004

반도체 IC의 소형화와 고 밀도화에 따르는 소자의 외관적 불량을 육안으로 식별하는 것이 거의 불가능하며, 불량요소도 다양하여 고 정밀 비젼시스템의 도입이 필수적인 제조공정으로 자리매김 되고 있다. 특히 리드의 뜸 상태검사는 망상처리 알고리즘의 구현이 어려운 점이 있다. 따라서 본 논문에서는 칩의 면적이 1cm${\times}$0.5cm인 SOP형 IC의 불량을 검출하는 외관검사 시스템을 구현하고, 그 성능을 평가하고자 한다. 여러 가지 항목을 최적으로 검사하기 위하여 기하적 길이, 간격, 각도, 명도 및 위치보정 등을 이론적으로 전개하였고, 시스템 구성을 위해 인터페이스 회로를 설계하여 Handler와 결합하였다. 그 결과 초당 2개의 IC를 검사하고, 화소 당 20$\mu$m의 분해능을 가지는 계측 정밀도를 확인하였다.

• 디지털융복합연구
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• 제13권9호
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• pp.351-359
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• 2015

본 연구는 저에너지 방사선을 제거하기 위해 사용되는 구리 여과판의 디지털 방사선 장비에서 유용성을 분석하고자 선량, 화질평가의 융복합 연구를 실시하였다. 실험기간은 2015년 4월부터 6월까지 이었다. 관전압과 관전류 변화에 따른 구리 여과판 사용 전, 0.1, 0.2, 0.3 mm 의 선량을 평가하였다. 화질평가는 PSNR, MAE, MSE, CNR, SNR 정성적 평가로는 국가암검진 흉부 평가표의 해상, 대조도 평가 7문항을 이용하였다. 흡수선량은 16-88 % 정도 여과판 사용 전에 비해 측정치 낮아졌고, 관전압이 높아짐에 따라 격차가 작아짐을 알 수 있었다. PSNR은 30 dB이상으로 모두 의미 있는 수치였고, CNR, SNR은 여과판 미사용 시 우수했으나 정성적 평가에서는 항목마다 통계적 유의성이 달랐다. 0.1 mm 여과판에서는 폐혈관 관찰 부위에서 측정치가 높고, 0.3 mm도 밀도가 높고 공기가 많은 부위를 제외하고 통계적으로 유의하지 않았다. 구리 여과판은 좋은 선질과 디지털촬영 장비의 장점인 보정 능력 이용하여 더 적은 선량으로 화질을 향상 시킬 수 있다.

• 대한원격탐사학회지
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• 제40권1호
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• pp.93-101
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• 2024

Accurate field crop classification is essential for various agricultural applications, yet existing methods face challenges due to diverse crop types and complex field conditions. This study aimed to address these issues by combining support vector machine (SVM) models with multi-seasonal unmanned aerial vehicle (UAV) images, texture information extracted from Gray Level Co-occurrence Matrix (GLCM), and RGB spectral data. Twelve high-resolution UAV image captures spanned March-October 2021, while field surveys on three dates provided ground truth data. We focused on data from August (-A), September (-S), and October (-O) images and trained four support vector classifier (SVC) models (SVC-A, SVC-S, SVC-O, SVC-AS) using visual bands and eight GLCM features. Farm maps provided by the Ministry of Agriculture, Food and Rural Affairs proved efficient for open-field crop identification and served as a reference for accuracy comparison. Our analysis showcased the significant impact of hyperparameter tuning (C and gamma) on SVM model performance, requiring careful optimization for each scenario. Importantly, we identified models exhibiting distinct high-accuracy zones, with SVC-O trained on October data achieving the highest overall and individual crop classification accuracy. This success likely stems from its ability to capture distinct texture information from mature crops.Incorporating GLCM features proved highly effective for all models,significantly boosting classification accuracy.Among these features, homogeneity, entropy, and correlation consistently demonstrated the most impactful contribution. However, balancing accuracy with computational efficiency and feature selection remains crucial for practical application. Performance analysis revealed that SVC-O achieved exceptional results in overall and individual crop classification, while soybeans and rice were consistently classified well by all models. Challenges were encountered with cabbage due to its early growth stage and low field cover density. The study demonstrates the potential of utilizing farm maps and GLCM features in conjunction with SVM models for accurate field crop classification. Careful parameter tuning and model selection based on specific scenarios are key for optimizing performance in real-world applications.