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위성 (OMI)을 활용한 한반도 지역 NO<sub>2</sub> 분석
김덕래,최원준,이준석,김승연,홍준석,송창근,이재범,홍유덕,이석조,Kim, Deok-Rae,Choi, Won-Jun,Lee, Joon-Suk,Kim, Seung-Yeon,Hong, Jun-Suk,Song, Chang-Keun,Lee, Jae-Bum,Hong, You-Deog,Lee, Suk-Jo 한국대기환경학회 2012 한국대기환경학회지 Vol.28 No.3
Monitoring of climate change and atmospheric environment by satellite measurements has been increased in recent years. In this study, nitrogen dioxide ($NO_2$) measurements from Ozone Monitoring Instrument (OMI) were compared with surface measurements over the Korean peninsula. $NO_2$ from OMI measurements showed high values and also showed seasonal variations such as high concentration in winter and low in summer over metropolitan areas while $NO_2$ concentration at national background station was low and did not clearly show seasonal variations. Surface measurements showed similar temporal and spatial variations to those of satellite measurement. The comparison between satellite measurements and surface measurements showed that the correlation between them was higher in urban area (r=0.64 at Seoul and r=0.63 at Daegu) than in national background stations (r=0.37 at Jeju) because the concentration in urban area was relatively high so that the variation of $NO_2$ concentration could be detected better than at national background stations by satellite. Satellite can effectively measure the emission and transport of pollutants with no limitations in spatial coverage.
B-Snake를 이용한 차선 검출 및 추적 알고리즘에 관한 연구
김덕래,문호선,김용득,Kim, Deok-Rae,Moon, Ho-Sun,Kim, Yong-Deak 대한전자공학회 2005 電子工學會論文誌-SP (Signal processing) Vol.42 No.4
본 논문에서는 B-snake 차선 모델을 이용한 차선 검출 및 추적에 관한 알고리즘을 제안한다. 제안된 이론의 특성은 첫째, 다른 알고리즘에 비해 직선, 굴곡이 있는 도로와 같은 보다 넓은 범위의 차선 구조의 표현이 가능하며, 또한 평면 도로의 평행 특성을 이용하여 그림자, 잡음 등에 강하고, 둘째, 잡음에 강한 CHEVP(Canny/Hough Estimation Vanish Point) 알고리즘을 사용하여 차선 위치의 초기값을 제공한다. 셋째, GYP(Gradient Vector Flow)와 최소 평균 제곱 에러를 이용하여 B-Snake 차선 모델에서 발생하는 외부의 힘을 줄여 차선 검출의 에러를 줄이고 차선 추적을 효과적으로 수행한다. 측정 실험 결과 도로영상을 날씨 별로 맑은 날, 흐린 날 그리고 비오는 날로 구분하여 본 알고리즘을 수행하였으며 95$\%$ 이상의 차선 검출률을 보였다. In this paper, we propose lane detection and trackinB algerian using B-Snake as robust algorithm. One of chief virtues of Lane detection algorithm using B-Snake is that it is possible to specify a wider range of lane structure because B-Spline conform an arbitrary shape by control point set and that it doesn't use any camera parameter. Using a robust algorithm called CHVEP, we find the vanishing point, width of lane and mid-line of lane because of the perspective parallel line and then we can detect the both side of lane mark using B-snake. To demonstrate that this algorithm is robust against noise, shadow and illumination variations in road image, we tested this algorithm about various image divided by weather-fine, rainy and cloudy day. The percentage of correct lane detection is over 95$\%$.