• The Korean Journal of Ecology
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• v.21 no.4
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• pp.357-372
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• 1998

Land (scape) ecology is a trans-disciplinary science studying the related systems at the earth surface, in their visual, structural and functional aspects. it serves as an umbrella under which abiotic and biotic sciences, in an integrated way, study the for each relevant land attributes and their interrelations. The spatial aspects of these relations have a special interest. Landscape ecology my have a pure scientific purpose, but usually is executed in an applied context, related to land evaluation for land use and conservation. Depending on the aim and application of the study, one of the land attributes may get special attention. Vegetation mapping may contribute to landscape ecological study but also benefit from it especially in case of reconnaissance surveys. This is because in less detailed surveys of any land attribute, like land form, soil, vegetation, one must necessarily apply landscape ecological principles in the survey methodology, including remote sensing.

• Proceedings of the KSRS Conference
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• 2008.03a
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• pp.231-236
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• 2008

본 연구에서는 이진 변화탐지 방법상 요구되는 수동적인 자료처리 단계들을 모듈화하고 통합한 '이진 변화탐지 컴포넌트'를 개발하였으며, 대전 지역의 IKONOS 다중시계열 위성영상의 2개 연구지역에 적용함으로써 그 성능을 검증하였다. 개발된 컴포넌트는 ESRI의 ArcGIS 9.x 상에서 설치 및 실행되며, Visual Basic과 GIS 객체 라이브러리의 결합을 통해 구현되었다. 적용된 모델은 Im. J.(2007)의 연구에서 제시된 '캘리브레이션 기법을 이용한 자동 이진 변화탐지 모델'을 확장 적용한 것으로, 변화영상 히스토그램의 비정규분포를 고려한 누적 생산자 및 사용자 정확도 평가 기법이 최적 임계치 결정에 사용되었다. 다양한 변화탐지 기술들, ID, IR, NCIs, CVA, PCA와 ID, IR의 결합이 실험을 통해 비교 분석되었다. 실험 결과, 개선된 캘리브레이션 기법 적용을 통해 기존 기법보다 향상된 분류정확도를 얻었으며, PC1의 ID가 연구지역의 변화탐지 상에서 가장 우수한 분류 능을 보여주었다.

• Proceedings of the KSRS Conference
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• 1998.09a
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• pp.159-162
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• 1998

Land cover and land use classification on a huge scale, e.g. national or continental scale, has become more and more important because environmental researches need land cover: And land use data on such scales. We developed a crop field extraction method, which is one of the steps in our land cover classification system for a huge area. Firstly, a crop field model is defined to characterize "crop field" in terms of NDVI value and textual information Textual information is represented by the density of straight lines which are extracted by wavelet transform. Secondly, candidates of NDVI threshold value are determined by "scale-space filtering" method. The most appropriate threshold value among the candidates is determined by evaluating the line density of the area extracted by the threshold value. Finally, the crop field is extracted by applying level slicing to Landsat TM image with the threshold value determined above. The experiment demonstrates that the extracted area by this method coincides very well with the one extracted by visual interpretation.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2004.11a
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• pp.251-256
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• 2004

The image classification is one of the most important studies in the remote sensing. In general, the MLC(Maximum Likelihood Classification) classification that in consideration of distribution of training information is the most effective way but it produces a bad result when we apply it to actual hyperspectral image with the same classification technique. The purpose of this research is to reveal that which one is the most effective and suitable way of the classification algorithms iii the hyperspectral image classification. To confirm this matter, we apply the MLC classification algorithm which has distribution information and SAM(Spectral Angle Mapper), SFF(Spectral Feature Fitting) algorithm which use average information of the training class to both multispectral image and hyperspectral image. I conclude this result through quantitative and visual analysis using confusion matrix could confirm that SAM and SFF algorithm using of spectral pattern in vector domain is more effective way in the hyperspectral image classification than MLC which considered distribution.

• Journal of Surface Science and Engineering
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• v.39 no.2
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• pp.64-69
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• 2006

Nanoscale task such as nanolithography and nanoindenting is a challenging work that is beyond the capabilities of human sensing and precision. Since surface forces and intermolecular forces dominate over gravitational and other more intuitive forces of the macro world at the nanoscale, a user is not familiar with these novel nanoforce effects. In order to overcome this scaling barrier, haptic interfaces that consist of visual and force feedback at the macro world have been used with an Atomic Force Microscope (AFM) as a manipulator at the nanoscale. In this paper, a nanoscale virtual coupling (NSVC) concept is introduced and the relationship between performance and impedance scaling factors of velocity (or position) and force are explicitly represented. Experiments have been performed for nanoindenting and nanolithography with different materials in the nanoscale virtual surface. The interaction forces (non contact and contact nanoforces) between the AFM tip and the nano sample are transmitted to the operator through the haptic interface.

• Journal of the Korea Society of Computer and Information
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• v.21 no.11
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• pp.1-7
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• 2016

In this paper, we proposed real-time relative radiometric calibration processing method for SWIR(Short Wavelength Infra-Red) sensor using 'Hyper-Spectral Imager'. Until now domestic research for Hyper-Spectral Imager has been performing with foreign sensor device. So we have been studying hyper spectral sensor device to meet domestic requirement, especially military purpose. To improve detection & identify capability in 'Hyper-Spectral Imager', it is necessary to expend sensing wavelength from visual and NIR(Near Infra-Red) to SWIR. We aimed to design real-time processor for SWIR sensor which can control the sensor ROIC(Read-Out IC) and process calibrate the image. To build Hyper-Spectral sensor device, we will review the SWIR sensor and its signal processing board. And we will analyze relative radiometric calibration processing method and result. We will explain several SWIR sensors, our target sensor and its control method, steps for acquisition of reference images and processing result.

• Bulletin of the Korean Chemical Society
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• v.33 no.7
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• pp.2359-2364
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• 2012

Two new chemosensors, rhodamine 6G derivative bearing hydroxyethyl group (1) and rhodamine base derivative bearing 15-crown-5 group (2) were synthesized and their sensing behaviors toward various metal ions were investigated by UV/Vis and fluorescence spectroscopies. Addition of $Hg^{2+}$ ion to a $CH_3CN$ solution of 1 and 2 gave visual color changes as well as fluorescent OFF-ON observations. Selectivity and sensitivity of 1 towards $Hg^{2+}$ are excellent enough to detect micromolar level of $Hg^{2+}$ ion, even in equeous media and biological sample (HeLa cell).

• 한국IT서비스학회:학술대회논문집
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• 2008.05a
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• pp.419-424
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• 2008

최근 네트워크 및 정보통신 기술의 발달로 유비쿼터스(Ubiquitous) 환경이 구체화되면서 미래의 정보 기술 산업을 주도할 유비쿼터스 센서 네트워크(Ubiquitous Sensor Network : USN)가 주목받고 있다. 이러한 USN기반의 서비스는 각종 센서들로부터 인식된 데이터를 수집하고 이를 가공하여 사용자가 이해하기 쉽게 USN 자원에 대한 정보를 전달해야 한다. 그러나 USN자원에 대한 정보를 사용자가 이해하기 쉽도록 웹 상에서 시각적으로 표현하기 위한 연구는 보이지 않고 있다. 본 논문에서는 USN 데이터를 크게 센싱데이터와 메타데이터로 분류하고 이를 효과적으로 표현할 수 있는 시각적 요소들을 제안하였다. 그리고 사용자 질의에 대한 응답을 분석하여 각 응답 유형에 따라 시각적 요소를 효과적으로 조합하여 사용자가 쉽게 인지할 수 있는 웹 페이지를 설계 및 구현하였다.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1030-1032
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• 2003

This study a imed to analyze the effect of combined optical and radar image for the land cover classification in coastal region. The study area, Gyeonggi Bay area has one of the largest tidal ranges and has frequent land cover changes due to the several reclamations and rather intensive land uses. Ten land cover types were classified using several datasets of combining Landsat ETM+ and RADARSAT imagery. The synergic effects of the merged datasets were analyzed by both visual interpretation and an ordinary supervised classification. The merged optical and SAR datasets provided better discrimination among the land cover classes in the coastal area. The overall classification accuracy of merged datasets was improved to 86.5% as compared to 78% accuracy of using ETM+ only.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.600-602
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• 2003

In Korea, fire is the second frequent disaster. A total of 32,966 fires were happened in 2002, and injured 2,235 people and damaged 12 million dollars. So, we developed several components related to fire in order to decrease these victims and the amount of damage and have applied those components to Daegu Fire Agency. In this paper, we describe the developing system. It consists of 5 major components: mobile fire facility management component, web service component, fire management component, fire server, and fire application. They were developed in object-oriented computing environment, ATL/COM and Visual C++. So, they have some advantages such as high reusability, full interoperability, and easy understanding.