• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.515-517
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• 2004

Although sustainable development of a city should in theory be based on updated spatial information like land cover/use changes, in practice there are no effective tools to get such information. However the development of satellite and sensor technologies has increased the supply of high resolution satellite data, allowing cost-effective, multi-temporal monitoring. Especially KOMPSAT-1(KOrea Multi-Purpose SATellite) acquired a large number of images of the whole Korean peninsula and covering some large cities a number of times. In this study land-use patterns and trends of Daejeon from the year 2000 to the year 2003 will be considered using land use maps which are generated by manual interpretation of multi-temporal KOMPSAT EOC imagery and to show the possibility of using high resolution satellite remote sensing data for urban analysis.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2013년도 추계학술대회
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• pp.641-642
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• 2013

이 연구는 대형 고해상도 타일드 디스플레이를 활용한 천리안 해양관측위성 영상 가시화 시스템을 구현하였다. 이 시스템은 타일드 디스플레이에서 멀티 터치와 키넥트 모션 제스쳐 인식 인터랙션을 제공하여 한반도 중심의 해양환경 위성 영상을 효과적으로 관측 및 분석 할 수 있도록 도와준다. 방대한 메모리양의 고화질 천리안 해양 관측 위성 영상은 멀티스케일 이미지 로드 기법을 사용하여 다양한 조작에서도 타일드 디스플레이 화면에 매끄럽게 출력되도록 하였다. 이 가시화 시스템은 기본적으로 특정 날짜에 해당하는 시간 단위의 해양관측 위성 영상을 동적으로 화면에 출력되며, 사용자는 멀티 터치나 키넥트 인터랙션을 통하여 영상을 자유롭게 확대 축소하고 상하좌우로 이동하며 다양한 기능 버튼을 누르는 등의 인터랙션을 할 수 있도록 하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1111-1113
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• 2003

In this paper, we investigated a method for feature - based classification to develop software which is suitable to the classification of high resolution satellite imagery . So, we developed related algorithm and designed user interfaces of convenience, considering various elements require for the feature - based classification. The software was tested with eCognition software which is unique commercial software for feature - based classification.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.423-425
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• 2003

In this paper, we propose a new scheme for matching specified areas in a satellite image, which is a very efficient method because it can be effectively applied to images that have various features. These features may include different spatial resolution and brightness; sometimes they may different geometrical property. The proposed method can be applied to some application fields such as mosaicing of satellite imagery, GCP matching.

• 대한원격탐사학회지
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• 제17권1호
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• pp.71-84
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• 2001

원격탐사 영상은 해상도가 변화함에 따라 축척 효과에 의해 영상의 특성이 변화한다. 연구자는 다양한 해상도의 원격탐사 영상으로부터 연구에 적합한 공간적 현상이 나타나는 적정 해상도를 선택할 필요가 있다. 특정 지리현상은 특정 축척에서 가장 잘 표현될 수 있기 때문이다. 이와같이 공간현상을 명확하게 설명하기 위해서는 이러한 현상이 나타나는 축척이나 공간 해상도를 적절히 선정하여야 한다. 본 연구에서는 위성영상의 적정 해상도를 탐색하기 위하여 구조특성과 분광분리도를 측정하는 지수들을 살펴보고 이를 이용하여 적정 해상도를 모색하는 과정을 제시하였다. 연구의 수행과정엥서 제안한 해상도 특성 측정지수와 적정 해상도 모색과정을 순천만의 위성영상에 적용하여 그 효용성을 평가하였다. 원격탐사 영상으로부터 적정 해상도를 선정하기 위해 제안한 2단계의 탐색절차를 시험한 결과 적정 해상도 탐색이 가능하였고 분류정확도와의 상관관계도 높게 나타났다. 2단계의 적정 해상도 탐색절차는 연구지역의 지리현상을 반영하는 해상도를 모색하는 기법으로 이용될 수 있다.

• Asian Journal of Business Environment
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• 제13권2호
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• pp.9-20
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• 2023

Purpose: This study aims to map the spatial distribution of poverty using nighttime light satellite images as a proxy indicator of economic activities and infrastructure distribution in D.I Yogyakarta, Indonesia. Research design, data, and methodology: This study uses official poverty statistics (National Socio-economic Survey (SUSENAS) and Poverty Database 2015) to compare satellite imagery's ability to identify poor urban areas in D.I Yogyakarta. National Socioeconomic Survey (SUSENAS), as poverty statistics at the macro level, uses expenditure to determine the poor in a region. Poverty Database 2015 (BDT 2015), as poverty statistics at the micro-level, uses asset ownership to determine the poor population in an area. Pearson correlation is used to identify the correlation among variables and construct a Support Vector Regression (SVR) model to estimate the poverty level at a granular level of 1 km x 1 km. Results: It is found that macro poverty level and moderate annual nighttime light intensity have a Pearson correlation of 74 percent. It is more significant than micro poverty, with the Pearson correlation being 49 percent in 2015. The SVR prediction model can achieve the root mean squared error (RMSE) of up to 8.48 percent on SUSENAS 2020 poverty data.Conclusion: Nighttime light satellite imagery data has potential benefits as alternative data to support regional poverty mapping, especially in urban areas. Using satellite imagery data is better at predicting regional poverty based on expenditure than asset ownership at the micro-level. Light intensity at night can better describe the use of electricity consumption for economic activities at night, which is captured in spending on electricity financing compared to asset ownership.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.954-957
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• 2006

Satellite data (thermal and color imagery) show that offshore flowing filaments off the west coasts of North America, North and South Africa can influence significantly the cross-frontal mixing in the coastal upwelling zones. To evaluate this role, we investigated structure, dynamics and behavior of surface filaments in the Canary and Benguela upwelling regions on the base of daily satellite IR and VIS imagery (AVHRR NOAA, MODIS-Aqua). It was found that seasonal variability of the filaments location depends on intra-annual shift of general upwelling intensity along the coast. The main statistical characteristics of filaments - length, width, temperature anomaly and estimates of velocity were obtained. Estimates of cross-frontal water exchange due to filamentation based on the statistical data show that these coherent structures play a major role in the water and particle exchange between coastal zone and the open ocean in both upwelling regions.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2008년도 춘계 종합학술대회 논문집
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• pp.444-448
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• 2008

도시 및 주거환경정비계획 분야에 위성영상을 어떻게 활용할 수 있는지를 파악하고자 하였다. 도시 공간 상에서 건폐지 면적, 도로 면적 등의 파악은 도시계획 수립과 관리를 위해 매우 중요한 인자들이다. 이들의 정보를 추출 하기 위하여 위성영상으로부터 외부공간, 건폐지, 식생, 그림자 등 4 가지 토지피복 분류항목을 설정하였으며, 각 각에 대한 분류특성 및 토지피복에 관한 정보를 추출하는데 필요한 내용을 제시하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.552-554
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• 2003

Searching and enhancement of shadow area in the satellite imagery is one of growing interest because of new possible needs of application in this field. This paper proposes an algorithm to search and enhance the shadow areas caused by buildings such as apartments which are very common in Korean satellite imagery. The proposed searching algorithm makes use of characteristics of histogram of images in the spatial domain and also uses the fast Fourier transform and correlation in Frequency domain. Further, the enhancement algorithm is only applied to the shadow areas searched and preserves the areas which are naturally dark.

• 대한원격탐사학회지
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• 제22권5호
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• pp.351-356
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• 2006

Based on current practical needs for geo-spatial information on mobile platform, the main theme of this study is a design and implementation of dynamic 3D terrain rendering system using spaceborne imagery, as a kind of texture image for photo-realistic 3D scene generation on mobile environment. Image processing and 3D graphic techniques and algorithms, such as TIN-based vertex generation with regular spacing elevation data for generating 3D terrain surface, image tiling and image-vertex texturing in order to resolve limited resource of mobile devices, were applied and implemented by using graphic pipeline of OpenGL|ES (Embedded System) API. Through this implementation and its tested results with actual data sets of DEM and satellite imagery, we demonstrated the realizable possibility and adaptation of complex typed and large sized 3D geo-spatial information in mobile devices. This prototype system can be used to mobile 3D applications with DEM and satellite imagery in near future.