• Journal of the Korean Association of Geographic Information Studies
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• v.16 no.4
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• pp.16-28
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• 2013

Recently the various applications and spectral indices development of airborne hyperspectral imagery(A-HSI) has been increased. Especially the vegetation indices (VIs) were used to verify stress and vigor of vegetation. The VIs needs two or more spectral bands selectively to calculate as NIR(near infrared) and red wavelength. The A-HIS has specific band characteristics as narrow, continues and many. The A-HIS has narrow, continues and many specific band characteristics. That could be make it confuse which of bands could be explained for appropriate vegetation characteristics. If the A-HIS bands is not the same the wavelength with VIs' development band setting, then it need a selection adequate for spectral characteristics of target vegetation. Therefore we set 4 substitute bands for NIR and red wavelength respectively and calculated two VIs combined with substitute bands such as NDVI(normalized difference vegetation index) and MSRI(modified simple ratio index). To consider the variation of each VIs, we adapted the image differencing method of change detection technique. Also, we used spectral derivative to identify appropriate bands for spectral characteristics of digital forest cover type map. The result of adequate bands for two VIs selected red #3 as 680.2nm and NIR #2 as 801.7nm. This wavelength was good for any forest type in low variations.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.27 no.4
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• pp.43-49
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• 2009

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.10
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• pp.142-149
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• 2013

In general, a color of an image is represented by using red, green, and blue channels in a RGB camera system. However, only information of three channels are limited to estimate a spectral reflectance of a real scene. Because of this, the RGB camera system can not accurately represent the color. To overcome this limitation and represent an accurate color, researches to estimate the spectral reflectance by using a multi-channel camera system are being actively proceeded. Recently, a reflectance estimation method adaptively constructing a similar training set from a traditional training set according to a camera response by using a spectral similarity was introduced. However, in this method, an accuracy of the similar training set is reduced because the spectral similarity based on an average and a maximum distances was applied. In this paper, a reflectance estimation method applied a spectral similarity based on a correlation coefficient is proposed to improve the accuracy of the similar training set. Firstly, the correlation coefficient between the similar training set and the spectral reflectance obtained by Wiener estimation method is calculated. Secondly, the similar training set is constructed from the traditional training set according to the correlation coefficient. Finally, Wiener estimation method applied the similar training set is performed to estimate the spectral reflectance. To evaluate a performance of the proposed method with previous methods, experimental results are compared. As a result, the proposed method showed the best performance.

• Korean Journal of Remote Sensing
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• v.35 no.6_2
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• pp.1037-1052
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• 2019

We had developed in preceding study a classification model for the Korean pine and Larch with an accuracy of 98 percent using Hyperion and Sentinel-2 satellite images, texture information, and geometric information as the first step for tree species mapping in the inaccessible North Korea. Considering a share of major tree species in North Korea, the classification model needs to be expanded as it has a large share of Oak(29.5%), Pine (12.7%), Fir (8.2%), and as well as Larch (17.5%) and Korean pine (5.8%). In order to classify 5 major tree species, national forest type map of South Korea was used to build 11,039 training and 2,330 validation data. Sentinel-2 data was used to derive spectral information, and PlanetScope data was used to generate texture information. Geometric information was built from SRTM DEM data. As a machine learning algorithm, Random forest was used. As a result, the overall accuracy of classification was 80% with 0.80 kappa statistics. Based on the training data and the classification model constructed through this study, we will extend the application to Mt. Baekdu and North and South Goseong areas to confirm the applicability of tree species classification on the Korean Peninsula.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.10
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• pp.2431-2438
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• 2013

The paper presents a procedure for how to development and theoretical review on Dissolved Gas Analyzer. the information of abnormal thermal stress on electrical power equipment by testing the gas is validated to easy by the gas analyzer presented in the paper. the analyzed information is used to evaluate the stability of electrical power equipment. the existing and selling DGA(dissolved gas analyzer) is so expensive and vast that all DGA product comes from foreign country. The objective of the paper is to prove that PAS(photoacoustic spectroscopy) based on a compact portable DGA solve the fixed type of DGA in order to eliminate the occurring issue directly or indirectly. the proposed DGA is easy to handle, and this can also analysis in real time for testing electrical power equipment. By applying the proposed portable, DGA be utilized in the currently electrical power equipment that are being implemented to reduce cycle of analysis of dissolved gas, it can contribute to improving safety by providing the agility of the evaluation of degradation.

• The Journal of the Korea Contents Association
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• v.16 no.7
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• pp.31-41
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• 2016

Atmospheric correction as a preprocessing work should be performed to conduct accurately landcover/landuse classification using hyperspectral imagery. Atmospheric correction on airborne hyperspectral images was conducted and then the effect of atmospheric correction by comparing spectral reflectance characteristics before and after atmospheric correction for a few landuse classes was analyzed. In addition, land cover classification was first conducted respectively by the maximum likelihood method and the spectral angle mapper method after atmospheric correction and then the results were compared. Applying the spectral angle mapper method, the sea water area were able to be classified with the minimum of noise at the threshold angle of 4 arc degree. It is considered that object-based classification method, which take into account of scale, spectral information, shape, texture and so forth comprehensively, is more advantageous than pixel-based classification methods in conducting landcover classification of the coastal area with hyperspectral images in which even the same object represents various spectral characteristics.

• The Bulletin of The Korean Astronomical Society
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• v.36 no.2
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• pp.154.2-154.2
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• 2011

행성 및 타이탄과 같은 태양계 내의 면천체(extended source)를 관측하기 위해서는 공간분해능이 높은 대형망원경과 파장분해능이 높은 분광기가 필요하다. 특히 분광 관측 자료를 이용하면 행성 및 타이탄의 대기 구성 성분 및 그 성분비, 온도 분포, 구름과 연무 등의 수직 구조 등을 알 수 있다. 최근 연구에서는 구름, 연무, 비 등의 생성 과정에 불포화/초과포화 상태의 메탄, 에탄, 에틸렌 등이 관여하는 것이 새롭게 알려져 보다 활발한 후속 연구가 필요하다. 현재 개발 중인 IGRINS는 적외선 영역의 H band($1.49{\sim}1.8{\mu}m$)와 K band($1.96{\sim}2.46{\mu}m$)를 동시에 관측할 수 있고, McDonald 2.7m 망원경에 부착할 때 R~40,000의 높은 분해능을 가지는 장비로서 태양계 천체를 관측하는 데에 매우 적합하다. 따라서 향후 IGRINS가 본격적으로 가동될 때 얻을 수 있는 자료에 대한 사전 연구가 필요하며, 이는 대형 망원경 및 고분산 분광기를 이용한 관측, 자료 처리 및 분석 등의 경험에 기반을 두어 진행되어야 한다. 이에 NIFS/Gemini에 의해 관측된 타이탄 분광 자료와 TEXES/IRTF에 의해 획득된 목성극지방의 분광 자료를 분석하는 사전 연구를 진행하고 있다. 목성에 대해서는, 극지방에서 관측되는 hotspot, warm, normal 지역의 근적외선 영역 분광선 분석을 통해 기존에 결정되어 있지 않은 극지방 성층권의 고도에 따른 온도분포를 알아본다. 타이탄에 대해서는, 근적외선 영역의 메탄흡수밴드에서 관측된 주연증광(Limb brightening) 현상을 복사전달모델로 구현함으로써 어떤 기작이 이 현상에 가장 큰 영향을 미치는지에 대해 알아본다. 이런 태양계 천체 자료에 대한 연구는 향후 mission 및 rover 작업을 수행함에 있어 기본적인 정보로서 활용될 수 있다.

• Proceedings of the Optical Society of Korea Conference
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• 2002.07a
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• pp.2-2
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• 2002

검은공진현상은 양자광학현상으로 비흡수 공진으로 간단히 표현할 수 있다. 즉, 공진전이에서 광흡수가 일어나지 않는 현상인데 이는 1976년 Pisa대학에서 분광학 실험으로 우연히 관측된 이래 90년대 이후 수많은 응용분야가 제시되면서 검은공진 연구에 있어 비약적인 발전을 가져오게 된다. 그 중 비선형광학, 밀도전이 없는 레이저, 양자메모리, 고해상 분광학, 광스위치, 빛속도조절 등은 그 좋은 예이다. (중략)

• 프린팅코리아
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• s.23
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• pp.42-51
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• 2004

농도계와 분광광도계 등 색상을 디지털화해 표현해 줄 수 있는 측색 장비의 수요가 늘고 있다. 이러한 변화는 갈수록 까다로워지는 고객의 요구에 대한 인쇄회사의 대응으로 고객과의 대화에 있어 감각이 아닌 쌍방향 정확한 정보 교환이 가능한 수치로 이야기하게 되었다는 점에서 큰 의미가 있다. 고품질 인쇄에 대한 욕구도 늘어나고 있는 CTP 출력과 비슷한 증가추세를 보이고 있는 인쇄 및 출력회사에서의 측색장비 사용 빈도수는 고객의 요구, 그리고 인쇄회사 스스로의 생존을 위해 향후 그 사용 빈도수가 점차 늘어날 것으로 보인다. 국내 인쇄업계의 명암을 확실하게 보여줄 농도계에 대해 알아보았다.

• KCID journal
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• v.9 no.1
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• pp.29-37
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• 2002

Rapid environmental changes result in not only damage to agricultural produce but also the poor growth and death of plants. Remote Sensing (RS) is one of effective methods for collecting, analyzing information and predicting the change of agricultural env