• Title/Summary/Keyword: SWIR

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Development of SWIR 3D Lidar System with Low Optical Power Using 1 Channel Single Photon Detector (1채널 단일광자검출기를 이용한 낮은 광출력의 SWIR(Short Wave Infrared) 3D 라이다 시스템 개발)

  • Kwon, Oh-Soung;Lee, Seung-Pil;Shin, Seung-Min;Park, Min-Young;Ban, Chang-Woo
    • Journal of the Korean Society of Industry Convergence
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    • v.25 no.6_3
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    • pp.1147-1154
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    • 2022
  • Now that the development of autonomous driving is progressing, LiDAR has become an indispensable element. However, LiDAR is a device that uses lasers, and laser side effects may occur. One of them is the much-talked-about eye-safety, and developers have been satisfying this through laser characteristics and operation methods. But eye-safety is just one of the problems lasers pose. For example, irradiating a laser with a specific energy level or higher in a dusty environment can cause deterioration of the dust particles, leading to a sudden explosion. For this reason, the dust ignition proof regulations clearly state that "a source with a pulse period of less than 5 seconds is considered a continuous light source, and the average energy does not exceed 5 mJ/mm 2 or 35 mW" [2]. Energy of output optical power is limited by the law. In this way, the manufacturer cannot define the usage environment of the LiDAR, and the development of a LiDAR that can be used in such an environment can increase the ripple effect in terms of use in application fields using the LiDAR. In this paper, we develop a LiDAR with low optical power that can be used in environments where high power lasers can cause problems, evaluate its performance. Also, we discuss and present one of the directions for the development of LiDAR with laser power limited by dust ignition proof regulations.

Experimental Study on Axial Stratification Process and Its Effects (I) - Stratification in Engine -

  • Ohm, In-Yong;Park, Chan-Jun
    • Journal of Mechanical Science and Technology
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    • v.16 no.11
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    • pp.1457-1469
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    • 2002
  • This paper is the first of several companion papers, which investigate axial stratification process and its effects in an Sl engine. The axial stratification is very sophisticate phenomenon, which results from combination of fuel injection, port and in-cylinder flow and mixing. Because of the inherent unsteady condition in the reciprocating engine, it Is impossible to understand the mechanism through the analytical method. In this paper, the ports were characterized by swir and tumble number in steady flow bench test. After this, lean misfire limit of the engines, which had different port characteristic, were investigated as a function of swirl ratio and injection timing for confirming the existence of stratification. In addition, gas fuel was used for verifying whether this phenomenon depends on bulk air motion of cylinder or on evaporation of fuel. High-speed gas sampling and analysis was also performed to estimate stratification charging effect. The results show that the AFR at the spark plug and LML are very closely related and the AFR is the results of bulk air motion.

INVESTIGATION OF CLOUD COVERAGE OVER ASIA WITH NOAA AVHRR TIME SERIES

  • Takeuchit Wataru;Yasuokat Yoshifumi
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.26-29
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    • 2005
  • In order to compute cloud coverage statistics over Asian region, an operational scheme for masking cloud-contaminated pixels in Advanced Very High Resolution Radiometer (AVHRR) daytime data was developed, evaluated and presented. Dynamic thresholding was used with channell, 2 and 3 to automatically create a cloud mask for a single image. Then the IO-day cloud coverage imagery was generated over the whole Asian region along with cloud-free composite imagery. Finally the monthly based statistics were computed based on the derived cloud coverage imagery in terms of land cover and country. As a result, it was found that 20-day is required to acquire the cloud free data over the whole Asia using NOAA AVHRR. The to-day cloud coverage and cloud-free composite imagery derived in this research is available via the web-site http://webpanda.iis.u-tokyo.ac.jp/CloudCover/.

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Study for Snow Cover Characteristics Using Visible and SWIR channels from MODIS data (MODIS 적외 휘도 온도와 반사도를 이용한 적설역 특성 연구)

  • Yeom, Jong-Min;Han, Kyung-Soo;Park, Youn-Young;Lee, Chang-Suck;Kim, Young-Seup
    • Proceedings of the KSRS Conference
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    • 2007.03a
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    • pp.267-270
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    • 2007
  • 눈은 지표면의 물리과정에서 중요한 요소 중의 하나로 짧은 시간 동안에 많은 변화를 유도할 있다. 본 연구에 MODIS 채널자료를 이용하여 적설역에서 나타나는 단파적외 채널과 반사도 특성을 알아보았다 일반적으로 MODIS 위성자료를 이용한 적설연구는 근적외 채널을 활용한 NOSI (Normalized Difference of Snow Index)를 주로 사용한다. 하지만 본 연구는 정지기상 위성의 적셜 탐지 능력을 시험하기 위한 연구이다. 따라서 정지 기상 위성 탑재되어 있는 채널의 특성과 비슷한MODIS 가시 채널과 단파 적외 채널 자료를 이용하여 적설지역을 분석하였다단일 가시 채널을 이용하여 적설을 탐지 하는 것은 청천역일 경우 큰 어려움이 없으나 반면 구름과 적설이 혼재되어 있는 지역에서는 탐지 능력이 떨어진다.반면 BID 값을 활용한 적설지역 탐지는 단일 가시 채널을 활용한 방법보다 좋은 결과를 가지지만 하층운이 존재할 때는 여전히 적설과 구름을 명확히 구분하기는 어렵다.

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Estimated Temperature Error Compensation for Wavelength-Band Conversion of Infrared Image (적외선영상의 파장대역변환을 위한 추정온도 오차 보정)

  • Kim, Young-Choon;Ahn, Sang-Ho
    • Journal of Korea Multimedia Society
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    • v.17 no.11
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    • pp.1270-1278
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    • 2014
  • The modern infrared (IR) imaging systems use mainly one or more wavelength bands among short wavelength IR (SWIR), middle wavelength IR (MWIR), and long wavelength IR (LWIR) bands. In the process of IR image synthesis and modeling, IR image wavelength-band conversion which transforms arbitrary band image to other band one is required. The wavelength-band conversion procedure includes a temperature estimation process of an object surface. However, in this procedure, an approximated Planck's radiation equation causes errors in estimated temperature. In this paper, we propose an estimation temperature error attenuation method in IR image band conversion procedure. The estimated temperature is corrected with a slope information of radiance according to it. The corrected temperature is used for generation of the other band IR image. The verification of proposed method is demonstrated through the simulation.

Case Study of a Cost Estimation for the Signal Processor through System Partitioning and Synthesis (시스템 분할과 합성을 이용한 신호처리기의 비용예측에 관한 사례연구)

  • Kim, Jong-Tae
    • Journal of the Korean Society of Industry Convergence
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    • v.2 no.2
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    • pp.109-114
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    • 1999
  • 본 논문에서는 응용 주문형 집적회로 (ASICs)로 구현되는 신호처리기의 비용 예측 방법을 소개한다. 비용 예측은 디자인의 초기 단계에서 다양한 설계 사양들을 비교하여 성능과 비용 면에서 최적의 설계를 찾는데 도움을 준다. 본 비용 예측 방법은 Computer-Aided Design 도구들을 이용하여 시스템 동작 표현으로부터 시작하여 시스템 분할과 상위 수준 합성을 거쳐 레지스터 전송 수춘 단계에서 비용 예측을 실행한다. 사례 연구로 SWIR focal plane으로부터 생성되는 신호를 처리하는 신호처리기의 비용 예측을 실험한다. IBM 1.0 마이크론 기술의 CMOS 표준 셀을 적용하여 실험을 한 결과 각 채널로부터 전달되는 데이터를 실행하기 위해서는 3개의 칩이 필요했다.

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Modis Maximum NDVI, Minimum Blue, and Average Cloud-free Monthly Composites of Southeast Asia

  • Zerbe, L.;Chia, A.S.;Liew, S.C.;Kwoh, L.K.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.172-174
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    • 2003
  • Using MODIS data and several different compositing algorithms utilizing the average cloud free days in a compositing period, maximum ndvi, or dual maximum NDVI/minimum blue, multi resolution composites (250m, 500m, 1km) have been produced for Southeast Asia, with spectral bands ranging from the visible to short-wave infrared with a single band in the thermal (for land and sea surface temperature). A total of nine composites have been produced for the months of May and August in 2003, including blue, green, red, NIR, three in the SWIR, and several to specifically monitor vegetation health.

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JERS-1 SAR DATA CHARACTERISTICS FOR GEOLOGICAL APPLICATIONS

  • Moon, Wooil-M.;Li, Bo;Won, J.S.;Yoo, H.W.;Singhroy, V.;Yamaguch, Y.
    • Korean Journal of Remote Sensing
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    • v.10 no.2
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    • pp.161-170
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    • 1994
  • The JERS-1 is an Earth Resources Satellite launched by NASDA (Natinal Space Development Agency) of Japan, in February in 1992 and has two sensors; SAR(L-Band Synthetic Aperture Radar) and OPS (SWIR and VNIR radiometers). In this research note, the basic properties and data characteristics of the SAR data are summarized based on the observations made on the data sets received for the Nahanni Canadian test site, Northwest Territories. The JERS-1 SAR data quality. including the spatial resolution of the data, is, in general, excellent for most geological applications.

Scene-based Nonuniformity Correction by Deep Neural Network with Image Roughness-like and Spatial Noise Cost Functions

  • Hong, Yong-hee;Song, Nam-Hun;Kim, Dae-Hyeon;Jun, Chan-Won;Jhee, Ho-Jin
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.6
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    • pp.11-19
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    • 2019
  • In this paper, a new Scene-based Nonuniformity Correction (SBNUC) method is proposed by applying Image Roughness-like and Spatial Noise cost functions on deep neural network structure. The classic approaches for nonuniformity correction require generally plenty of sequential image data sets to acquire accurate image correction offset coefficients. The proposed method, however, is able to estimate offset from only a couple of images powered by the characteristic of deep neural network scheme. The real world SWIR image set is applied to verify the performance of proposed method and the result shows that image quality improvement of PSNR 70.3dB (maximum) is achieved. This is about 8.0dB more than the improved IRLMS algorithm which preliminarily requires precise image registration process on consecutive image frames.

Analysis of Landslide locations using Spectral Reflectance of Clay Mineral and ASTER Satellite Image (점토광물의 분광반사율 및 ASTER 위성영상을 이용한 산사태 발생지역 분석)

  • Nam, Koung-Hoon;Lee, Hong-Jin;Jeong, Gyo-Cheol
    • The Journal of Engineering Geology
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    • v.24 no.3
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    • pp.411-421
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    • 2014
  • The purpose of this study is to analyze the key factors that contribute to landslide causes through swelling clay minerals and terrain analysis in landslide sites taken place of in Yongin city, Gyeonggi-do, 2011. The study was conducted based on field survey by XRD (X-ray Diffraction), XRF (X-ray fluorescence), spectroscopic analysis on soil samples obtained from landslide sites and ASTER satellite image. Illite shows absorption features; $Fe^{2+}$ and $Fe^{3+}$ at 0.9 and $1.0{\mu}m$, broad water absorption features near 1.4 and $1.9{\mu}m$, and additional Al-hydroxyl features at 2.2, 2.3 and $2.4{\mu}m$, respectively. These absorption features are consistent with the bands 5, 6, and 7 of ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) satellite image. Illite image was extracted using band math of $SWIR_{Illite}$. From these results, we confirmed the applicability of ASTER satellite image using identification of swelling clay minerals to landslide study.