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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 23, Issue 6 - Dec 2007
Volume 23, Issue 5 - Oct 2007
Volume 23, Issue 4 - Aug 2007
Volume 23, Issue 3 - Jun 2007
Volume 23, Issue 2 - Apr 2007
Volume 23, Issue 1 - Feb 2007
Selecting the target year
Analysis of Cloud Properties Related to Yeongdong Heavy Snow Using the MODIS Cloud Product
Ahn, Bo-Young ; Cho, Kuh-Hee ; Lee, Jeong-Soon ; Lee, Kyu-Tae ; Kwon, Tae-Yong ;
Korean Journal of Remote Sensing, volume 23, issue 2, 2007, Pages 71~87
In this study, 14 heavy snow events in Yeongdong area which are local phenomena are analyzed using MODIS cloud products provided from NASA/GSFC. The clouds of Yeongdong area at observed at specific time by MODIS are classified into A, B, C Types, based on the characteristic of cloud properties: cloud top temperature, cloud optical thickness, Effective Particle Radius, and Cloud Particle Phase. The analysis of relations between cloud properties and precipitation amount for each cloud type show that there are statistically significant correlations between Cloud Optical Thickness and precipitation amount for both A and B type and also significant correlation is found between Cloud Top Temperature and precipitation amount for A type. However, for C type there is not any significant correlations between cloud properties and precipitation amount. A-type clouds are mainly lower stratus clouds with small-size droplet, which may be formed under the low level cold advection derived synoptically in the East sea. B-type clouds are developed cumuliform clouds, which are closely related to the low pressure center developing over the East sea. On the other hand, C-type clouds are likely multi-layer clouds, which make satellite observation difficult due to covering of high clouds over low level clouds directly related with Yeongdong heavy snow. It is, therefore, concluded that MODIS cloud products may be useful except the multi-layer clouds for understanding the mechanism of heavy snow and estimating the precipitation amount from satellite data in the case of Yeongdong heavy snow.
Decision Level Fusion of Multifrequency Polarimetric SAR Data Using Target Decomposition based Features and a Probabilistic Ratio Model
Chi, Kwang-Hoon ; Park, No-Wook ;
Korean Journal of Remote Sensing, volume 23, issue 2, 2007, Pages 89~101
This paper investigates the effects of the fusion of multifrequency (C and L bands) polarimetric SAR data in land-cover classification. NASA JPL AIRSAR C and L bands data were used to supervised classification in an agricultural area to simulate the integration of ALOS PALSAR and Radarsat-2 SAR data to be available. Several scattering features derived from target decomposition based on eigen value/vector analysis were used as input for a support vector machines classifier and then the posteriori probabilities for each frequency SAR data were integrated by applying a probabilistic ratio model as a decision level fusion methodology. From the case study results, L band data had the proper amount of penetration power and showed better classification accuracy improvement (about 22%) over C band data which did not have enough penetration. When all frequency data were fused for the classification, a significant improvement of about 10% in overall classification accuracy was achieved thanks to an increase of discrimination capability for each class, compared with the case of L band Shh data.
The Classification Accuracy Improvement of Satellite Imagery Using Wavelet Based Texture Fusion Image
Hwang, Hwa-Jeong ; Lee, Ki-Won ; Kwon, Byung-Doo ; Yoo, Hee-Young ;
Korean Journal of Remote Sensing, volume 23, issue 2, 2007, Pages 103~111
The spectral information based image analysis, visual interpretation and automatic classification have been widely carried out so far for remote sensing data processing. Yet recently, many researchers have tried to extract the spatial information which cannot be expressed directly in the image itself. Using the texture and wavelet scheme, we made a wavelet-based texture fusion image which includes the advantages of each scheme. Moreover, using these schemes, we carried out image classification for the urban spatial analysis and the geological structure analysis around the caldera area. These two case studies showed that image classification accuracy of texture image and wavelet-based texture fusion image is better than that of using only raw image. In case of the urban area using high resolution image, as both texture and wavelet based texture fusion image are added to the original image, the classification accuracy is the highest. Because detailed spatial information is applied to the urban area where detail pixel variation is very significant. In case of the geological structure analysis using middle and low resolution image, the images added by only texture image showed the highest classification accuracy. It is interpreted to be necessary to simplify the information such as elevation variation, thermal distribution, on the occasion of analyzing the relatively larger geological structure like a caldera. Therefore, in the image analysis using spatial information, each spatial information analysis method should be carefully selected by considering the characteristics of the satellite images and the purpose of study.
Automatic Determination of Matching Window Size Using Histogram of Gradient
Ye, Chul-Soo ; Moon, Chang-Gi ;
Korean Journal of Remote Sensing, volume 23, issue 2, 2007, Pages 113~117
In this paper, we propose a new method for determining automatically the size of the matching window using histogram of the gradient in order to improve the performance of stereo matching using one-meter resolution satellite imagery. For each pixel, we generate Flatness Index Image by calculating the mean value of the vertical or horizontal intensity gradients of the 4-neighbors of every pixel in the entire image. The edge pixel has high flatness index value, while the non-edge pixel has low flatness index value. By using the histogram of the Flatness Index Image, we find a flatness threshold value to determine whether a pixel is edge pixel or non-edge pixel. If a pixel has higher flatness index value than the flatness threshold value, we classify the pixel into edge pixel, otherwise we classify the pixel into non-edge pixel. If the ratio of the number of non-edge pixels in initial matching window is low, then we consider the pixel to be in homogeneous region and enlarge the size of the matching window We repeat this process until the size of matching window reaches to a maximum size. In the experiment, we used IKONOS satellite stereo imagery and obtained more improved matching results than the matching method using fixed matching window size.
Extraction of Snowmelt Parameters using NOAA AVHRR and GIS Technique for 5 River Basins in South Korea
Shin, Hyung-Jin ; Park, Geun-Ae ; Kim, Seong-Joon ;
Korean Journal of Remote Sensing, volume 23, issue 2, 2007, Pages 119~124
The few observed data related snowmelt was the major cause of difficulty in extracting snowmelt factors such as snow cover area, snow depth and depletion curve. Remote sensing technology is very effective to observe a wide area. Although many researchers have used remote sensing for snow observation, there were a few discussions on the characteristics of spatial and temporal variation. Snow cover maps were derived from NOAA AVHRR images for the winter seasons from 1997 to 2006. Distributed snow depth was mapped by overlapping between snow cover maps and interpolated snowfall maps from 69 meteorological observation stations. Model parameters (Snow Cover Area: SCA, snow depth, Snow cover Depletion Curve: SDC) building for 5 major watersheds in South Korea. Especially SDC is important parameter of snowmelt model.
Building a Satellite Image Rinsed Blog System Using PPGIS (People Participatory GIS)
Lee, Ki-Hwan ; Lee, Dong-Cheon ; Park, Seok-Ho ; Kim, Il ; Shin, Sang-Hee ;
Korean Journal of Remote Sensing, volume 23, issue 2, 2007, Pages 125~130
This paper introduce a satellite image based blog system built by JeonNam local province. Main goals of this system are as follows : (1)Overcome the static aspect of traditional Web-GIS, (2)Providing a geoUCC generating platform by combining multimedia technology and GIS in a single web environment, (3)Building a two-way Web-GIS through user's participation, (4)Creating a new communicative way between government and citizen by using this system. As a result of the system building, this system enables users to create his/her own UCC(User Created Contents) on high-resolution satellite image and enables users to share his/her own UCC with other system using Web2.0 technology.
The Analysis of Tidal Channel Development Using Fractal
Eom, Jin-Ah ; Lee, Yoon-Kyung ; Ryu, Joo-Hyung ; Won, Joong-Sun ; Choi, Jung-Hyun ;
Korean Journal of Remote Sensing, volume 23, issue 2, 2007, Pages 131~135
The tidal channel is influenced by sediment type, grain size, grain composition and tidal currents in tidal flat. The development of tidal channel including density, shape and order can be used to analyze the characteristics of tidal channel. The quantitative investigation to the tidal channel is insufficiency. In this paper, we represented the fractal analysis method according to the quantitatively analysis in tidal channel and compared with the different intertidal channel patterns. The tidal channel was extracted from the IKONOS image of the southern part of the Kanghwa-do. We used the Box-counting method to estimate fractal dimensions for each tidal channel. As a result, the fractal dimension values (D) were 1.31 in the southern Kanghwa-Do. Linear pattern and less dense channel development area had low D values (from 1.0563 to 1.0672). Dendritic pattern and dense channel development area had high D values (from 1.2550 to 1.3016). In other words, fractal dimension values had difference about 0.2 values according to the characteristic of tidal channel development. We concluded that fractal analysis can be able to quantitatively classification in tidal channel.
Development of Korea Ocean Satellite Center (KOSC): System Design on Reception, Processing and Distribution of Geostationary Ocean Color Imager (GOCI) Data
Yang, Chan-Su ; Cho, Seong-Ick ; Han, Hee-Jeong ; Yoon, Sok ; Kwak, Ki-Yong ; Yhn, Yu-Whan ;
Korean Journal of Remote Sensing, volume 23, issue 2, 2007, Pages 137~144
In KORDI (Korea Ocean Research and Development Institute), the KOSC (Korea Ocean Satellite Center) construction project is being prepared for acquisition, processing and distribution of sensor data via L-band from GOCI (Geostationary Ocean Color Imager) instrument which is loaded on COMS (Communication, Ocean and Meteorological Satellite); it will be launched in 2008. Ansan (the headquarter of KORDI) has been selected for the location of KOSC between 5 proposed sites, because it has the best condition to receive radio wave. The data acquisition system is classified into antenna and RF. Antenna is designed to be
9m cassegrain antenna which has 19.35 G/T
at 1.67GHz. RF module is divided into LNA (low noise amplifier) and down converter, those are designed to send only horizontal polarization to modem. The existing building is re-designed and arranged for the KOSC operation concept; computing room, board of electricity, data processing room, operation room. Hardware and network facilities have been designed to adapt for efficiency of each functions. The distribution system which is one of the most important systems will be constructed mainly on the internet. and it is also being considered constructing outer data distribution system as a web hosting service for offering received data to user less than an hour.
Measurement of Backscattering Coefficients of Rice Canopy Using a Ground Polarimetric Scatterometer System
Hong, Jin-Young ; Kim, Yi-Hyun ; Oh, Yi-Sok ; Hong, Suk-Young ;
Korean Journal of Remote Sensing, volume 23, issue 2, 2007, Pages 145~152
The polarimetric backscattering coefficients of a wet-land rice field which is an experimental plot belong to National Institute of Agricultural Science and Technology in Suwon are measured using ground-based polarimetric scatterometers at 1.8 and 5.3 GHz throughout a growth year from transplanting period to harvest period (May to October in 2006). The polarimetric scatterometers consist of a vector network analyzer with time-gating function and polarimetric antenna set, and are well calibrated to get VV-, HV-, VH-, HH-polarized backscattering coefficients from the measurements, based on single target calibration technique using a trihedral corner reflector. The polarimetric backscattering coefficients are measured at
with 30 independent samples for each incidence angle at each frequency. In the measurement periods the ground truth data including fresh and dry biomass, plant height, stem density, leaf area, specific leaf area, and moisture contents are also collected for each measurement. The temporal variations of the measured backscattering coefficients as well as the measured plant height, LAI (leaf area index) and biomass are analyzed. Then, the measured polarimetric backscattering coefficients are compared with the rice growth parameters. The measured plant height increases monotonically while the measured LAI increases only till the ripening period and decreases after the ripening period. The measured backscattering coefficientsare fitted with polynomial expressions as functions of growth age, plant LAI and plant height for each polarization, frequency, and incidence angle. As the incidence angle is bigger, correlations of L band signature to the rice growth was higher than that of C band signatures. It is found that the HH-polarized backscattering coefficients are more sensitive than the VV-polarized backscattering coefficients to growth age and other input parameters. It is necessary to divide the data according to the growth period which shows the qualitative changes of growth such as panicale initiation, flowering or heading to derive functions to estimate rice growth.