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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
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Volume & Issues
Volume 6, Issue 2 - Sep 1990
Volume 6, Issue 1 - Mar 1990
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A Study on the Construction Technique of DEM Using a Commercial Map
Korean Journal of Remote Sensing, volume 6, issue 1, 1990, Pages 1~9
This paper presents a method of the constructing DEM(Digital Elevation Model) from the image data acquired from a commercial map using the scanner. Data acquistion, mark elimination, linking the broken line, elevation interpolation and 3D display processing are performed and the results are satisfatory.
Objective Cloud Type Classification of Meteorological Satellite Data Using Linear Discriminant Analysis
Korean Journal of Remote Sensing, volume 6, issue 1, 1990, Pages 11~24
This is the study about the meteorological satellite cloud image classification by objective methods. For objective cloud classification, linear discriminant analysis was tried. In the linear discriminant analysis 27 cloud characteristic parameters were retrieved from GMS infrared image data. And, linear cloud classification model was developed from major parameters and cloud type coefficients. The model was applied to GMS IR image for weather forecasting operation and cloud image was classified into 5 types such as Sc, Cu, CiT, CiM and Cb. The classification results were reasonably compared with real image.
Geometric Correction of the NOAA/AVHRR Imagery
Korean Journal of Remote Sensing, volume 6, issue 1, 1990, Pages 25~37
Methods of geometric correction for the Advanced Very High Resolution Radiometer imagery of NOAA satellites were developed and applied to the software for image processing of meteorological satellite data. The software for finding the earth location of each scan position and the software for gridding on original imagery were dedigned. On the assumption of circular orbits and the spherical earth, the methods developed were sufficiently accurate in the purpose of most meteorological data analyses.
Assessing Sea Surface Temperature in the Yellow Sea Using Satellite Remote Sensing Data
Lee, Kyoo-seock ; Kang, Hee-Sook ;
Korean Journal of Remote Sensing, volume 6, issue 1, 1990, Pages 39~47
The first Marine Observation Satellite(MOS) was launched by National Space Development Agency of Japan on February 19, 1987, and it is equipped with three sensons covering visible, infrared, and microwave region. One of them is Visible and Thermal Infrared Radiometer(VTIR) whose main objective is to detect the Sea Surface Temperature(SST). The objective of this study was to process the MOS data using Cray-2 supercomputer, and to assess the SST in the Yellow Sea. In order to implement this objective, the linear regression model between the ground truth data and the corresponding digital number of VTIR in MOS was used to establish the relationship. After testing the significance of the regression model, the SST map of the whole Yellow Sea was derived based on the model. The digital SST map representing the study area showed certain pattern about the SST of Yellow Sea in March and April. In conclusion, the VTIR data in MOS is also useful in investigating SST which provides the information about the Yellow Sea water current in the spring.
Spectral Analysis of Igneous and Sedimentary Rocks
Korean Journal of Remote Sensing, volume 6, issue 1, 1990, Pages 49~62
The study is aimed to analize the spectral characteristics of igneous and sedimentary rocks in their reflectance curves obtained from CARY 17-D Spectrophotometer, and correlation between chemical complsition and HHRR data. The reflectance is higher in acidic igneous rocks, while lower in basic igneous rocks. Especially acidic plutonic rocks show sharp absorption bands at 1.4 and 1.9
due to water inclusion in felsic minerals and basic rocks a broad absoption band near 1.mu.m due to Fe
ion in mafic minerals. Sandstones generally have higher reflectance than siltstones and shales, and show strong absorption at 1.4 and 1.9
. Arkosic sandstones have lower reflectance at blue band due to Fe
ion exsolved from feldspars. The HHRR data have a positive correlation with SiO
O, while they have a negative correlation with FeO and MgO.