Go to the main menu
Skip to content
Go to bottom
REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Korean Journal of Remote Sensing
Journal Basic Information
Journal DOI :
The Korean Society of Remote Sensing
Editor in Chief :
Volume & Issues
Volume 25, Issue 6 - Dec 2009
Volume 25, Issue 5 - Oct 2009
Volume 25, Issue 4 - Aug 2009
Volume 25, Issue 3 - Jun 2009
Volume 25, Issue 2 - Apr 2009
Volume 25, Issue 1 - Feb 2009
Selecting the target year
Adaptive Reconstruction of NDVI Image Time Series for Monitoring Vegetation Changes
Lee, Sang-Hoon ;
Korean Journal of Remote Sensing, volume 25, issue 2, 2009, Pages 95~105
Irregular temporal sampling is a common feature of geophysical and biological time series in remote sensing. This study proposes an on-line system for reconstructing observation image series including bad or missing observation that result from mechanical problems or sensing environmental condition. The surface parameters associated with the land are usually dependent on the climate, and many physical processes that are displayed in the image sensed from the land then exhibit temporal variation with seasonal periodicity. An adaptive feedback system proposed in this study reconstructs a sequence of images remotely sensed from the land surface having the physical processes with seasonal periodicity. The harmonic model is used to track seasonal variation through time, and a Gibbs random field (GRF) is used to represent the spatial dependency of digital image processes. In this study, the Normalized Difference Vegetation Index (NDVI) image was computed for one week composites of the Advanced Very High Resolution Radiometer (AVHRR) imagery over the Korean peninsula, and the adaptive reconstruction of harmonic model was then applied to the NDVI time series from 1996 to 2000 for tracking changes on the ground vegetation. The results show that the adaptive approach is potentially very effective for continuously monitoring changes on near-real time.
Development of A Simulation Technique for Arc-Rail Based GB-SAR System
Kim, Kwang-Eun ; Cho, Seong-Jun ; Lee, Hoon-Yol ;
Korean Journal of Remote Sensing, volume 25, issue 2, 2009, Pages 107~112
A technique for the simulation of various kinds of ground based SAR system was developed. This is an ancillary research for the development of an ArcSAR system which uses an arc-rail as a platform for the antenna movement instead of linear rail. The results of applying conventional Deramp FFT based SAR focusing algorithm to the simulated raw signal of linear rail type ground based SAR for the point targets showed that the developed simulation technique generated accurate GB-SAR raw signal. The developed technique is now being used for the development and verification of SAR focusing algorithm for the arc-rail type ground based SAR. The simulation technique is also expected to be very useful for the purpose oriented system design and operation planning of ground based SAR technique.
The Reflectance Patterns of land cover During Five Years (
) Based on MODIS Reflectance Temporal Profiles
Yoon, Jong-Suk ; Kang, Sung-Jin ; Lee, Kyu-Sung ;
Korean Journal of Remote Sensing, volume 25, issue 2, 2009, Pages 113~126
With high temporal resolution, four times receiving during a day, MODIS images from Terra and Aqua satellites provide several advantages for monitoring spacious land. Especially, diverse MODIS products related to land, atmosphere, and ocean have been provided with radiance MODIS images. The products such as surface reflectance, NDVI, cloud mask, aerosol etc. are based on theoretical algorithms developed in academic areas. Comparing with other change detection studies mainly using the vegetation index, this study investigated temporal surface reflectance of landcovers for five years from 2004 to 2008. The near infrared (NIR) reflectance in urbanized and burned areas showed considerable difference before and after events. The specific characteristics of surface reflectance temporal profiles are possibly useful for the detection of landcover changes and classification.
Technology Trends and Development Strategies for Intelligent Geographic Information
Kim, Eun-Hyung ;
Korean Journal of Remote Sensing, volume 25, issue 2, 2009, Pages 127~132
Geographic information with convergence ubiquitous IT technologies becomes much more intelligent. In ubiquitous space, users can make information access easier and the use of geographic information more efficient through the 'Geospatial Web,' as a platform between the real world and the virtual world. Many global IT venders make an effort to develop innovated technologies, such as Geospatial web platforms and engines. This study examines the concept of 'Geospatial Web,' technology trends for intelligent geographic information and standardization activities for ubiquitous geographic information. Finally, to obtain international market competitiveness, the technology development strategies for intelligent geographic information are suggested.
Comparison of Orbit-attitude Model between Spot and Kompsat-2 Imagery
Jeong, Jae-Hoon ; Kim, Tae-Jung ;
Korean Journal of Remote Sensing, volume 25, issue 2, 2009, Pages 133~143
This paper describes differences of performance when the orbit attitude model is applied to the respective images obtained from two different types of satellite. The one is Spot that rotates its pointing mirror and the other is Kompsat-2 that rotates its whole body when they obtain imagery for target. Our research scope is limited to the orbit-attitude model only as its good performance was proved in prior investigation. Model performances between two images were compared with sensor model accuracy and 3D coordinates calculation. The results show performances of the orbit-attitude model for each image type were different. For Spot imagery, the model required attitude angle to be included as adjustment parameters. For Kompsat-2 imagery, the model required high-order parameter for adjustment. This implies that satellite sensor model may be applied differently in accordance with platform's attitude control scheme and accuracy. Understanding of this information can be a base for improvement and development of model and application for new satellite images.
A Study on Optimal Shape-Size Index Extraction for Classification of High Resolution Satellite Imagery
Han, You-Kyung ; Kim, Hye-Jin ; Choi, Jae-Wan ; Kim, Yong-Il ;
Korean Journal of Remote Sensing, volume 25, issue 2, 2009, Pages 145~154
High spatial resolution satellite image classification has a limitation when only using the spectral information due to the complex spatial arrangement of features and spectral heterogeneity within each class. Therefore, the extraction of the spatial information is one of the most important steps in high resolution satellite image classification. This study proposes a new spatial feature extraction method, named SSI(Shape-Size Index). SSI uses a simple region-growing based image segmentation and allocates spatial property value in each segment. The extracted feature is integrated with spectral bands to improve overall classification accuracy. The classification is achieved by applying a SVM(Support Vector Machines) classifier. In order to evaluate the proposed feature extraction method, KOMPSAT-2 and QuickBird-2 data are used for experiments. It is demonstrated that proposed SSI algorithm leads to a notable increase in classification accuracy.
Tracking of Internal Waves Observed by SAR in the Time Series of Temperature Profile Data
Kim, Tae-Rim ;
Korean Journal of Remote Sensing, volume 25, issue 2, 2009, Pages 155~163
An abundance of internal waves is observed by SAR in the Yellow Sea during summer. They are small scaled internal waves and are not relatively studied well compared to the ones in the East/South China Sea. These internal waves should be considered in the study of physio-biological properties of the Yellow Sea because the mixing of the stratified surface water caused by internal waves during summer is important for ocean biological environment, and they also affect the sediment transport and acoustic signal transmission in the continental shelf region. To understand the characteristics of internal waves, it is important to get the spatio-temporal information of internal waves simultaneously by executing in-situ measurements as well as the SAR observation. This study tracks the internal waves observed by SAR in the time series of temperature profile data by analyzing simultaneously acquired in-situ measurement data and RADARSAT SAR image on 29 May 2002.
Implementation of Indoor/Outdoor Markerless Tracking-Based Augmented Reality Albert
Kim, Hee-Kwan ;
Korean Journal of Remote Sensing, volume 25, issue 2, 2009, Pages 165~173
Augmented Reality technologies offer new possibilities to the exploration of spatial distributed information. In this work we describe the main issues in the development of an Augmented Reality system that allows the annotation of objects or features in the real world captured by a camera. The general operation of this kind of systems is described, as well as the main problems that need to be solved. Finally, as an example of case of study, we present an application for the annotation of information relative to containers in a marine terminal.
A Comparative Analysis of land Cover Changes Among Different Source Regions of Dust Emission in East Asia: Gobi Desert and Manchuria
Pi, Kyoung-Jin ; Han, Kyung-Soo ; Park, Soo-Jae ;
Korean Journal of Remote Sensing, volume 25, issue 2, 2009, Pages 175~184
This study attempts to analyze the difference among the variations of ecological distribution in Gobi desert and Manchuria through satellite based land cover classification. This was motivated by two well-known facts: 1) Gobi desert, which is an old source region, had been gradually expanded eastward; 2) Manchuria, which is located in east of Gobi desert, was observed as a new source region of yellow dust. An unsupervised classification called ISODATA clustering method was employed to detect the land cover change and to characterize the status of desertification and its expanding trends using NDVI (Normalized Difference Vegetation Index) derived from VEGETATION sensor onboard the SPOT satellite for 1999 and 2007. We analyzed NDVI annual variation pattern for every classes and divide into 5 level according to their vegetation's density level based on NDVI. As results, Gobi desert is showed positive variation: a decrease
in central Gobi desert and out skirts of Gobi desert (level-0) but Manchuria area is worse than previous time: an increase
Implementation of User Interface for Geo-spatail Information Processing Toolkit using Open Source-based PostGIS
Han, Sun-Mook ; Lee, Ki-Won ;
Korean Journal of Remote Sensing, volume 25, issue 2, 2009, Pages 185~192
Recently, open sources for geo-spatial information processing and analysis are being developed, and they are widely adopted for the various application development projects. Open sources in the geo-spatial communities consist in several levels or types: viewer, API-level, engine sources of SDK-level, or toolkits. Among them, spatial database engine of PostgreSQL-PostGIS is used in this study for the portable multi-geospatial information processing toolkit. This work can be extended to target-based applications with domain-specific spatial queries and analyses. Design and implementation are based on C Language Interface (LIBPQ) to PostGIS and OGC library on PostgreSQL database. Conclusively, PostGIS according to this approach is an important alternative to develop most applications dealing with multi-geospatial information due to its availability, extensibility, scalability, and stability.
The Characteristics of Visible Reflectance and Infra Red Band over Snow Cover Area
Yeom, Jong-Min ; Han, Kyung-Soo ; Lee, Ga-Lam ;
Korean Journal of Remote Sensing, volume 25, issue 2, 2009, Pages 193~203
Snow cover is one of the important parameters since it determines surface energy balance and its variation. To classify snow and cloud from satellite data is very important process when inferring land surface information. Generally, misclassified cloud and snow pixel can lead directly to error factor for retrieval of surface products from satellite data. Therefore, in this study, we perform algorithm for detecting snow cover area with remote sensing data. We just utilize visible reflectance, and infrared channels rather than using NDSI (Normalized Difference Snow Index) which is one of optimized methods to detect snow cover. Because COMS MI (Meteorological Imager) channels doesn't include near infra-red, which is used to produce NDSI. Detecting snow cover with visible channel is well performed over clear sky area, but it is difficult to discriminate snow cover from mixed cloudy pixels. To improve those detecting abilities, brightness temperature difference (BTD) between 11 and 3.7 is used for snow detection. BTD method shows improved results than using only visible channel.