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http://dx.doi.org/10.7780/kjrs.2021.37.6.3.1

KOMPSAT Imagery Applications  

Lee, Kwang-Jae (National Satellite Operation & Application Center, Korea Aerospace Research Institute)
Oh, Kwan-Young (National Satellite Operation & Application Center, Korea Aerospace Research Institute)
Lee, Won-Jin (Environmental Satellite Center, National Institute of Environmental Research)
Lee, Sun-Gu (National Satellite Operation & Application Center, Korea Aerospace Research Institute)
Publication Information
Korean Journal of Remote Sensing / v.37, no.6_3, 2021 , pp. 1923-1929 More about this Journal
Abstract
Earth observation satellites are being used in various field and are being developed in many countries due to their high utility and marketability. Korea is developing various Earth observation satellites according to National Space Development Plan. Among them, the Korea Multi-Purpose Satellite(KOMPSAT) series is the most representative low-orbit satellite. So far, a total of five KOMPSAT have been launched to meet the national image demand and have been used in various fields, including national institutions. This special issue introduces research related to data processing, analysis, and utilization using various image data from the KOMPSAT series. Meanwhile, for the uninterrupted utilization of the subsequent KOMPSAT image data, data processing and utilization research suitable for high-resolution images must be continued, and related research contents will be continuously shared through a special issue.
Keywords
KOMPSAT; Classification; Fusion; SAR; Orthorectification; Atmosphere Correction; Machine Learning;
Citations & Related Records
Times Cited By KSCI : 15  (Citation Analysis)
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1 Kim, Y., P.-C. Kyriakidis, and N.-W. Park, 2020. A Cross-Resolution, Spatiotemporal Geostatistical Fusion Model for Combining Satellite Image Time-Series of Different Spatial and Temporal Resolutions, Remote Sensing, 12(10): 1553.   DOI
2 Lee, J., J. Lee, K. Kim, and K. Lee, 2021. Change of NDVI by Surface Reflectance Based on KOMPSAT-3/3A Images at a Zone Around the Fukushima Daiichi Nuclear Power Plant, Korean Journal of Remote Sensing, 37(6-3): 2027-2034 (in Korean with English abstract).   DOI
3 Meng, L., H. Liu, S.-L. Ustin, and X. Zhang, 2021. Assessment of FSDAF Accuracy on Cotton Yield Estimation Using Difference MODIS Products and Landsat Based on the Mixed Degree Index with Different Surroundings, Sensors, 21(15): 5184.   DOI
4 Moon, J. and K.-J. Lee, 2021. A Study to Improve the Accuracy of Segmentation and Classification of Mosaic Images over the Korean Peninsula, Korean Journal of Remote Sensing, 37(6-3): 1943-1949 (in Korean with English abstract).   DOI
5 Park J., T. Kim, C. Lee, and Y. Han, 2021. RPC Correction of KOMPSAT-3A Satellite Image through Automatic Matching Point Extraction Using Unmanned Aerial Vehicle Imagery, Korean Journal of Remote Sensing, 37(5): 1135-1147 (in Korean with English abstract).   DOI
6 Shin, J., K. Kim, J.-E. Min, and J.-H. Ryu, 2018. Red Tide Detection through Image Fusion of GOCI and Landsat OLI, Korean Journal of Remote Sensing, 34(2-2): 377-391 (in Korean with English abstract).   DOI
7 Ye, C.-S., 2021. Object-Based Image Classification by Integrating Multiple Classes in Hue Channel Images, Korean Journal of Remote Sensing, 37(6-3): 2011-2025 (in Korean with English abstract).   DOI
8 French, J.-C. and E.-J. Balster, 2013. A Fast and Accurate Orthorectification Algorithm of Aerial Imagery Using Integer Arithmetic, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(5): 1826-1834.   DOI
9 Chae, S.-H., W.-J. Lee, W.-K. Baek, and H.-S. Jung, 2019. An Improvement of the Performance of SAR Offset Tracking Approach to Measure Optimal Surface Displacements, IEEE ACCESS, 7: 131637.
10 Cho, Y., D. Yoon, J. Shin, and M.-J. Lee, 2021. Comparative Analysis of the Effects of Heat Island Reduction Techniques in Urban Heatwave Areas Using Drones, Korean Journal of Remote Sensing, 37(6-3): 1985-1999 (in Korean with English abstract).   DOI
11 Frezzotti, M., 1993. Glaciological Study in Terra Nova Bay, Antarctica, Inferred from Remote Sensing Analysis, Annals of Glaciology, 17: 63-71.   DOI
12 Kim, J., C.-H. Lim, H.-W. Jo, and W.-K. Lee, 2021. Phenological Classification Using Deep Learning and the Sentinel-2 Satellite to Identify Priority Afforestation Sites in North Korea, Remote Sensing, 13(15): 2946.   DOI
13 Kim, M. and M.-S. Park, 2021. The GOCI-II Early Mission Marine Fog Detection Products: Optical Characteristics and Verification, Korean Journal of Remote Sensing, 37(5): 1317-1328 (in Korean with English abstract).   DOI
14 Kim, Y., K.-J. Lee, and S.-G. Lee, 2021. Applicability Evaluation of Spatio-Temporal Data Fusion Using Fine-scale Optical Satellite Image: A Study on Fusion of KOMPSAT-3A and Sentinel-2 Satellite Images, Korean Journal of Remote Sensing, 37(6-3): 1931-1942 (in Korean with English abstract).   DOI
15 Jang, J.-C., K.-A. Park, D. Yang, and S.-G. Lee, 2019. Improvement of KOMPSAT-5 Sea Surface Wind with Correction Equation Retrieval and Application of Backscattering Coefficient, Korean Journal of Remote Sensing, 35(6-4): 1373-1389 (in Korean with English abstract).   DOI
16 Chae, S.-H., K.-J. Lee, and S. Lee, 2021. Two-dimensional Velocity Measurements of Campbell Glacier in East Antarctica Using Coarse-to-fine SAR Offset Tracking Approach of KOMPSAT-5 Satellite Image, Korean Journal of Remote Sensing, 37(6-3): 2035-2046 (in Korean with English abstract).   DOI
17 Upadhyay, P., S. Mahadik, and A. Kamble, 2016. Image Classification Using Visible RGB Bands, Proc. Of 2016 International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, IND, Mar. 16-18, pp. 2660-2663.
18 Yun, Y., T. Kim, J. Oh, and Y. Han, 2021. Analysis of Coregistration Performance According to Geometric Processing Level of KOMPSAT-3/3A Reference Image, Korean Journal of Remote Sensing, 37(2): 221-232 (in Korean with English abstract).   DOI
19 Ahn, H.-Y., J.-H. Ryu, S.-I. Na, K.-H. So, and K.-D. Lee, 2021. Application of Atmospheric Correction to KOMPSAT for Agriculture Monitoring, Korean Journal of Remote Sensing, 37(6-3): 1951-1963 (in Korean with English abstract).   DOI
20 Baek, W.-K., Y.-S. Lee, S.-H. Park, and H.-S. Jung, 2021. Classification of Natural and Artificial Forests from KOMPSAT-3/3A/5 Images Using Deep Neural Network, Korean Journal of Remote Sensing, 37(6-3): 1965-1974 (in Korean with English abstract).   DOI
21 Han, H., Y. Ji, and H. Lee, 2013. Estimation of Annual Variation of Ice Extent and Flow Velocity of Campbell Glacier in East Antarctica Using COSMO-SkyMed SAR Images, Korean Journal of Remote Sensing, 29(1): 45-55 (in Korean with English abstract).   DOI
22 Oh, K., K.-J. Lee, J.-I. Hwang, and Y.-S. Kim, 2021. A Study on the Efficient Orthorectification of KOMPSAT Image, Korean Journal of Remote Sensing, 37(6-3): 2001-2010 (in Korean with English abstract).   DOI
23 Kim, G., 2021. Prediction of Land Surface Temperature by Land Cover Type in Urban Area, Korean Journal of Remote Sensing, 37(6-3): 1975-1984 (in Korean with English abstract).   DOI
24 Kim, W., T. Lim, J.-H. Ahn, and J.-K. Choi, 2021. A Preliminary Analysis on the Radiometric Difference Across the Level 1B Slot Images of GOCI-II, Korean Journal of Remote Sensing, 37(5): 1269-1279 (in Korean with English abstract).   DOI
25 Kang, H., 2020. Automatic Registration between EO and IR Images of KOMPSAT-3A Using Blockbased Image Matching, Korean Journal of Remote Sensing, 36(4): 545-555.   DOI
26 Lee, K. and K. Kim, 2019. An Experiment for Surface Reflectance Image Generation of KOMPSAT 3A Image Data by Open Source Implementation, Korean Journal of Remote Sensing, 35(6-4): 1327-1339 (in Korean with English abstract).   DOI
27 Lee, S.-H. and M. Lee, 2020. A Study on Deep Learning Optimization by Land Cover Classification Item Using Satellite Imagery, Korean Journal of Remote Sensing, 36(6-2): 1591-1604 (in Korean with English abstract).   DOI
28 Choi, J.-K., J.-H. Ahn, Y.-B. Son, D.-J. Hwang, and S.-J. Lee, 2020. Application of GOCI to the Estimates of Primary Productivity in the Coastal Waters of the East Sea, Korean Journal of Remote Sensing, 36(2-2): 237-247 (in Korean with English abstract).   DOI
29 Lee, S.-M. and J.-C. Jeong, 2020. Accuracy Assessment of Unsupervised Change Detection Using Automated Threshold Selection Algorithms and KOMPSAT-3A, Korean Journal of Remote Sensing, 36(5-2): 975-988 (in Korean with English abstract).   DOI
30 Sun, J., W.-J. Lee, S.-C. Park, and D.-K. Lee, 2018. Detection for Region of Volcanic Ash Fall Deposits Using NIR Channels of the GOCI, Korean Journal of Remote Sensing, 34(6-4): 1519-1529 (in Korean with English abstract).   DOI
31 Yang, L., J. Song, L. Han, X. Wang, and J. Wang, 2020. Reconstruction of High-Temporal- and High-Spatial-Resolution Reflectance Datasets Using Difference Construction and Bayesian Unmixing, Remote Sensing, 12(23): 3952.   DOI
32 Zhao, W., L. Yan, and Y. Zhang, 2020. An Efficient Orthorectification Method for Satellite Images, Frontiers in Computer Technology and Applications, 1(1): 1-8.
33 Zhu, X., J. Chen, F. Gao, X. Chen, and J.-G. Masek, 2010. An Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model for Complex Heterogeneous Regions, Remote Sensing of Environment, 114(11): 2610-2623.   DOI