KOMPSAT Image Processing and Application
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Lee, Kwang-Jae
(Satellite Application Division, Korea Aerospace Research Institute)
Kim, Ye-Seul (Satellite Application Division, Korea Aerospace Research Institute) Chae, Sung-Ho (Satellite Application Division, Korea Aerospace Research Institute) Oh, Kwan-Young (Satellite Application Division, Korea Aerospace Research Institute) Lee, Sun-Gu (Satellite Application Division, Korea Aerospace Research Institute) |
1 | Jang, J.-C. and K.-A. Park, 2022. Land Use and Land Cover Mapping from Kompsat-5 X-band Co-polarized Data Using Conditional Generative Adversarial Network, Korean Journal of Remote Sensing, 38(1): 111-126. https://doi.org/10.7780/kjrs.2022.38.1.9 DOI |
2 | Jin, C. and C. Choi, 2021. The Assessment of Cross Calibration/Validation Accuracy for KOMPSAT-3 Using Landsat 8 and 6S, Korean Journal of Remote Sensing, 37(1): 123-137. https://doi.org/10.7780/kjrs.2021.37.1.10 DOI |
3 | Jung, S., H. Shin, D. Kim, A. Song, and W.H. Lee, 2022. Aircraft Velocity and Altitude Estimation through Time Offset Calculation of KOMPSAT-3 Satellite, Korean Journal of Remote Sensing, 38(6-4): 1879-1887 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.6.4.2 DOI |
4 | Kang, H., 2020. Automatic Registration between EO and IR Images of KOMPSAT-3A Using Block-based Image Matching, Korean Journal of Remote Sensing, 36(4): 545-555. https://doi.org/10.7780/kjrs.2020.36.4.5 DOI |
5 | Kim, H.S. and K.H. Choi, 2022. A Framework of 3D Road Extraction and Update Using Drone Images, Journal of the Korea Academia-Industrial, 23(5): 572-579 (in Korean with English abstract). https://doi.org/10.5762/KAIS.2022.23.5.572 DOI |
6 | Chae, S.-H., K.-Y. Oh, and S. Lee, 2022. Development of Proto-type Program for Automatic Change Detection and Cueing of Multi-temporal KOMPSAT-5 SAR Imagery, Korean Journal of Remote Sensing, 38(6-4): 1955-1969 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.6.4.9 DOI |
7 | Kim, T., Y. Yun, C. Lee, and Y. Han, 2022. Fine-Image Registration between Multi-sensor Satellite Images for Global Fusion Application of KOMPSAT-3·3A Imagery, Korean Journal of Remote Sensing, 38(6-4): 1901-1910 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.6.4.4 DOI |
8 | Stoian, A., V. Poulain, J. Inglada, V. Poughon, and D. Derksen, 2019. Land Cover Maps Production with High Resolution Satellite Image Time Series and Convolutional Neural Networks: Adaptations and Limits for Operational Systems, Remote Sensing, 11(17): 1986. https://doi.org/10.3390/rs11171986 DOI |
9 | Kim, T. and Y. Han, 2021. Integrated Preprocessing of Multitemporal Very-High-Resolution Satellite Images via Conjugate Points-Based Pseudo-Invariant Feature Extraction, Remote Sensing, 13(19): 3990. https://doi.org/10.3390/rs13193990 DOI |
10 | 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). https://doi.org/10.7780/kjrs.2021.37.6.3.2 DOI |
11 | 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). https://doi.org/10.7780/kjrs.2021.37.6.3.9 DOI |
12 | Ye, Y., J. Shan, L. Bruzzone, and L. Shen, 2017. Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity, IEEE Transactions on Geoscience and Remote Sensing, 55(5): 2941-2958. https://doi.org/10.1109/TGRS.2017.2656380 DOI |
13 | Ma, W., J. Zhang, Y. Wu, L. Jiao, H. Zhu, and W. Zhao, 2019. A Novel Two-Step Registration Method for Remote Sensing Images Based on Deep and Local Features, IEEE Transactions on Geoscience and Remote Sensing, 57(7): 4834-4843. https://doi.org/ 10.1109/TGRS.2019.2893310 DOI |
14 | Yun, Y., T. Kim, J. Oh, and Y. Han, 2021. Analysis of Co-Registration 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). https://doi.org/10.7780/kjrs.2021.37.2.4 DOI |
15 | Mardan, M. and S. Ahmadi, 2021. Soil Moisture Retrieval Over Agricultural Fields Through Integration of Synthetic Aperture Radar and Optical Images, GIScience & Remote Sensing, 58(8): 1276-1299. https://doi.org/10.1080/15481603.2021.1974276 DOI |
16 | Kim, T., 2022. Derivation of Surface Temperature from KOMPSAT-3A Mid-Wave Infrared Data Using a Radiative Transfer Model, Korean Journal of Remote Sensing, 38(4): 343-353. https://doi.org/10.7780/kjrs.2022.38.4.2 DOI |
17 | Lee, C. and J. Oh, 2020. Rigorous Co-Registration of KOMPSAT-3 Multispectral and Panchromatic Images for Pan-Sharpening Image Fusion, Sensors, 20(7): 2100. https://doi.org/10.3390/s20072100 DOI |
18 | Lee, J., K. Kim, and K. Lee, 2022. Comparative Analysis of NDWI and Soil Moisture Map Using Sentinel-1 SAR and KOMPSAT-3 Images, Korean Journal of Remote Sensing, 38(6-4): 1935-1943 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.6.4.7 DOI |
19 | Lee, J., T. Kim, C. Lee, H. Lee, A. Song, and Y. Han, 2022. Comparison of Semantic Segmentation Performance of U-Net according to the Ratio of Small Objects for Nuclear Activity Monitoring, Korean Journal of Remote Sensing, 38(6-4): 1925-1934 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.6.4.6 DOI |
20 | 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). https://doi.org/10.7780/kjrs.2020.36.5.2.11 DOI |
21 | MSIT (Ministry of Science and ICT), 2021. Space Industry Investigation, Ministry of Science and ICT, Sejong, Korea. |
22 | Pesaresi, M., K.-H. Gutjahr, and E. Pagot, 2008. Estimating the Velocity and Direction of Moving Targets Using a Single Optical VHR Satellite Sensor Image, International Journal of Remote Sensing, 29(4): 1221-1228. https://doi.org/10.1080/01431160701767419 DOI |
23 | Moon, J. and K. Lee, 2022. A Study to Improve the Classification Accuracy of Mosaic Image over Korean Peninsula: Using PCA and RGB Indices, Korean Journal of Remote Sensing, 38(6-4): 1945-1953 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.6.4.8 DOI |
24 | Papadomanolaki, M., M. Vakalopoulou, and K. Karantzalos, 2019. A Novel Object-Based Deep Learning Framework for Semantic Segmentation of Very High-Resolution Remote Sensing Data: Comparison with Convolutional and Fully Convolutional Networks, Remote Sensing, 11(6): 684. https://doi.org/10.3390/rs11060684 DOI |
25 | 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(5-1): 1135-1147 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2021.37.5.1.24 DOI |
26 | Ramayanti, S., B.-C. Kim, S. Park, and C.-W. Lee, 2022. Performance of Support Vector Machine for Classifying Land Cover in Optical Satellite Images: A Case Study in Delaware River Port Area, Korean Journal of Remote Sensing, 38(6-4): 1911-1923 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.6.4.5 DOI |
27 | Chae, H., H. Rhim, J. Lee, and J. Choi, 2022. Exploratory Study of the Applicability of Kompsat 3/3A Satellite Pan-sharpened Imagery Using Semantic Segmentation Model, Korean Journal of Remote Sensing, 38(6-4): 1889-1900 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.6.4.3 DOI |
28 | Peng, H., C. Xue, Y. Shao, K. Chen, J. Xiong, Z. Xie, and L. Zhang, 2020. Semantic Segmentation of Litchi Branches Using DeepLabV3 Model, IEEE Access, 8: 164546-164555. https://doi.org/10.1109/ACCESS.2020.3021739 DOI |
29 | Abdollahi, A., B. Pradhan, G. Sharma, K.N.A. Maulud, and A. Alamri, 2021. Improving Road Semantic Segmentation Using Generative Adversarial Network, IEEE Access, 9: 64381-64392. https://doi.org/10.1109/ACCESS.2021.3075951 DOI |
30 | Byun, Y.G., Y.K. Han, and T.B. Chae, 2011. Road Extraction from High Resolution Satellite Image Using Object-based Road Model, Korean Journal of Remote Sensing, 27(4): 421-433 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2011.27.4.421 DOI |
31 | Euroconsult, 2021. Earth Observation Data & Services Market, 14th Edition, Euroconsult, Courbevoie, France. |
32 | Fisser, H., E. Khorsandi, M. Wegmann, and F. Baier, 2022. Detecting Moving Trucks on Roads Using Sentinel-2 Data, Remote Sensing, 14(7): 1595. https://doi.org/10.3390/rs14071595 DOI |
33 | Han, Y., T. Kim, Y. Ye, M. Jung, Y. Kim, and J. Lee, 2022. Analysis of Image-to-Image Registration Performance of Multitemporal KOMPSAT-3·3A Imagery with Respect to Convergence Angle, International Journal of Remote Sensing, 43(12): 4454-4476. https://doi.org/10.1080/01431161.2022.2114111 DOI |
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