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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Korean Journal of Remote Sensing
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Journal DOI :
The Korean Society of Remote Sensing
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Volume & Issues
Volume 20, Issue 6 - Dec 2004
Volume 20, Issue 5 - Oct 2004
Volume 20, Issue 4 - Aug 2004
Volume 20, Issue 3 - Jun 2004
Volume 20, Issue 2 - Apr 2004
Volume 20, Issue 1 - Feb 2004
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Study on the Synchronization of Time Delay and Integration against Osculating Altitude Variation in Satellite Imager
Cho Young-Min ; Kim Hae-Dong ;
Korean Journal of Remote Sensing, volume 20, issue 4, 2004, Pages 227~234
The synchronization of Time Delay and Integration (TDI) against the temporal variation of osculating altitude in the operation of high resolution satellite imager was studied. The characteristics of osculating altitude variation was analyzed and its impact on the performance of TDI imger was also investigated. A practical ]me rate control method was proposed to compensate instantaneous TDI mismatch due to the osculating altitude variation, so that geometrical performance enhancement was achieved by the proposed method. This study is applicable to real satellite operation and can be useful for satellite image quality enhancement.
SPOT/VEGETATION-based Algorithm for the Discrimination of Cloud and Snow
Han Kyung-Soo ; Kim Young-Seup ;
Korean Journal of Remote Sensing, volume 20, issue 4, 2004, Pages 235~244
This study focuses on the assessment for proposed algorithm to discriminate cloudy pixels from snowy pixels through use of visible, near infrared, and short wave infrared channel data in VEGETATION-1 sensor embarked on SPOT-4 satellite. Traditional threshold algorithms for cloud and snow masks did not show very good accuracy. Instead of these independent masking procedures, K-Means clustering scheme is employed for cloud/snow discrimination in this study. The pixels used in clustering were selected through an integration of two threshold algorithms, which group ensemble the snow and cloud pixels. This may give a opportunity to simplify the clustering procedure and to improve the accuracy as compared with full image clustering. This paper also compared the results with threshold methods of snow cover and clouds, and assesses discrimination capability in VEGETATION channels. The quality of the cloud and snow mask even more improved when present algorithm is implemented. The discrimination errors were considerably reduced by 19.4% and 9.7% for cloud mask and snow mask as compared with traditional methods, respectively.
Temporal and Spatial Variation of the Mesoscale Cold Core Eddy in the East China Sea Using Satellite Remote Sensing
Suh Young-Sang ; Jang Lee-Hyun ; Lee Na-Kyung ; Ahn Yu-Hwan ; Yoon Hong-Joo ;
Korean Journal of Remote Sensing, volume 20, issue 4, 2004, Pages 245~252
The mechanism of cold core eddy formation was investigated using boundary conditions between the East China coastal cold water and the Kuroshio Warm Current, wind data related to the monsoon which was measured by QuikSCAT, and the bottom topography of the East China Sea. When winds blow from the southeast at an intensity comparable to that in the winter period in 1999 and 2003, the warm Kuroshio and Tsushima Current became stronger, and temperatures were considerably higher than those of the extended cold water of the coast of the East China. At that time, the cold water was captured by warm water from the Kuroshio and the Tsushima Current. This facilitated the formation of mesoscale cold core eddies with diameter of 150km in the East China Sea in May, 1999 and February, 2003. The cold core eddy which was detected by NOAA, SeaWiFS and QuikSCAT satellites. The East China Sea is considered to be important not only as a good fishing ground but also nursery and spawning area for many kinds of fishes. Therefore, it would be worth studying spatio-temporal variations of the cold core eddy in the environmental conditions of the northwestern East China Sea using systematic remote sensing techniques.
Standardizing Agriculture-related Land Cover Classification Scheme using IKONOS Satellite Imagery
Hong Seong-Min ; Jung In-Kyun ; Kim Seong-Joon ;
Korean Journal of Remote Sensing, volume 20, issue 4, 2004, Pages 253~259
The purpose of this study is to present a standardized scheme for providing agriculture-related information at various spatial resolutions of satellite images including Landsat + ETM, KOMPSAT-1 EOC, ASTER VNIR, and IKONOS panchromatic and multi-spectral images. The satellite images were interpreted especially for identifying agricultural areas, crop types, agricultural facilities and structures. The results were compared with the land cover/land use classification system suggested by National Geographic Information based on aerial photograph and Ministry of Environment based on satellite remote sensing data. As a result, high-resolution agricultural land cover map from IKONOS imageries was made out. The classification result by IKONOS image will be provided to KOMPSAT-2 project for agricultural application.
Comparative Study of GDPA and Hough Transformation for Linear Feature Extraction using Space-borne Imagery
Lee Kiwon ; Ryu Hee-Young ; Kwon Byung-Doo ;
Korean Journal of Remote Sensing, volume 20, issue 4, 2004, Pages 261~274
The feature extraction using remotely sensed imagery has been recognized one of the important tasks in remote sensing applications. As the high-resolution imagery are widely used to the engineering purposes, need of more accurate feature information also is increasing. Especially, in case of the automatic extraction of linear feature such as road using mid or low-resolution imagery, several techniques was developed and applied in the mean time. But quantitatively comparative analysis of techniques and case studies for high-resolution imagery is rare. In this study, we implemented a computer program to perform and compare GDPA (Gradient Direction Profile Analysis) algorithm and Hough transformation. Also the results of applying two techniques to some images were compared with road centerline layers and boundary layers of digital map and presented. For quantitative comparison, the ranking method using commission error and omission error was used. As results, Hough transform had high accuracy over 20% on the average. As for execution speed, GDPA shows main advantage over Hough transform. But the accuracy was not remarkable difference between GDPA and Hough transform, when the noise removal was app]ied to the result of GDPA. In conclusion, it is expected that GDPA have more advantage than Hough transform in the application side.
Classification of Multi-sensor Remote Sensing Images Using Fuzzy Logic Fusion and Iterative Relaxation Labeling
Park No-Wook ; Chi Kwang-Hoon ; Kwon Byung-Doo ;
Korean Journal of Remote Sensing, volume 20, issue 4, 2004, Pages 275~288
This paper presents a fuzzy relaxation labeling approach incorporated to the fuzzy logic fusion scheme for the classification of multi-sensor remote sensing images. The fuzzy logic fusion and iterative relaxation labeling techniques are adopted to effectively integrate multi-sensor remote sensing images and to incorporate spatial neighboring information into spectral information for contextual classification, respectively. Especially, the iterative relaxation labeling approach can provide additional information that depicts spatial distributions of pixels updated by spatial information. Experimental results for supervised land-cover classification using optical and multi-frequency/polarization images indicate that the use of multi-sensor images and spatial information can improve the classification accuracy.