Browse > Article
http://dx.doi.org/10.7780/kjrs.2019.35.6.4.8

Method for Restoring the Spatial Resolution of KOMPSAT-3A MIR Image  

Oh, Kwan-Young (Satellite Application Center, Korea Aerospace Research Institute)
Lee, Kwang-Jae (Satellite Application Center, Korea Aerospace Research Institute)
Jung, Hyung-Sup (Department of Geoinformatics, University of Seoul)
Park, Sung-Hwan (Department of Geoinformatics, University of Seoul)
Kim, Jeong-Cheol (Ecological Space Research Team, National Institute of Ecology)
Publication Information
Korean Journal of Remote Sensing / v.35, no.6_4, 2019 , pp. 1391-1401 More about this Journal
Abstract
The KOMPSAT-3A is a high-resolution optical satellite launched in 2015 by Korea Aerospace Research Institute (KARI). KOMPSAT-3A provides Panchromatic (PAN-0.55 m), Multispectral (MS-2.2 m), and Mid-wavelength infrared (MIROR-5.5 m) image. However, due to security or military problems, MIROR image with 5.5m spatial resolution are provided down sampled at 33 m spatial resolution (MIRrd). In this study, we propose spatial sharpening method to improve the spatial resolution of MIRrd image (33 m) using virtual High Frequency (HF) image and optimal fusion factor. Using MS image and MIRrd image, we generated virtual high resolution (5.5 m) MIRORfus image and then compared them to actual high-resolution MIROR image. The test results show that the proposed method merges the spatial resolution of MS image and the spectral information of MIRrd image efficiently.
Keywords
KOMPSAT-3A; Mid-wavelength Infrared; Spatial Sharpening;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
연도 인용수 순위
1 Lee, H.-S., K.-Y. Oh, and H.-S. Jung, 2014, Comparative analysis of image fusion methods according to spectral responses of high-resolution optical sensors, Korean Journal of Remote Sensing, 30(2): 227-239 (in Korean with English abstract).   DOI
2 Memon, F., M.A. Unar, and S. Memon, 2016. Image quality assessment for performance evaluation of focus measure operators, arXiv preprint arXiv: 1604.00546.
3 Oh, K.-Y., H.-S. Jung, and N.-K. Jeong, 2015. Pansharpening method for KOMPSAT-2/3 highspatial resolution satellite image, Korean Journal of Remote Sensing, 31(2): 161-170 (in Korean with English abstract).   DOI
4 Oh, K.-Y., 2017. Efficient pansharpening and autocalibration methods of high spatial satellite images: application to KOMPSAT images, Doctoral dissertation, University of Seoul, Seoul, Republic of Korea (in Korean with English abstract).
5 Oh, K.-Y., H.-S. Jung, and K.-J. Lee, 2012. Comparison of image fusion methods to merge KOMPSAT-2 panchromatic and multispectral images, Korean Journal of Remote Sensing, 28(1): 39-54 (in Korean with English abstract).   DOI
6 Oh, K.-Y., H.-S. Jung, N.-K. Jeong, and K.-J. Lee, 2014. The comparative analysis of image fusion results by using KOMPSAT-2/3 images, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 32(2): 117-132 (in Korean with English abstract).   DOI
7 Park, S. W., S.K. Choi, J.W. Choi, and S.K. Lee, 2018. Accuracy Assessment of Sharpening Algorithms of Thermal Infrared Image Based on UAV, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 36(6): 555-563 (in Korean with English abstract).   DOI
8 Agam, N., W.P. Kustas, M.C. Anderson, F. Li, and C.M. Neale, 2007. A vegetation index based technique for spatial sharpening of thermal imagery, Remote Sensing of Environment, 107(4): 545-558.   DOI
9 Boyd, D. S. and F. Petitcolin, 2004. Remote sensing of the terrestrial environment using middle infrared radiation (3.0-5.0 ${\mu}$m), International Journal of Remote Sensing, 25(17): 3343-3368.   DOI
10 Choi, J.-W., H.-L. Park, D.-H. Kim, and S.-K. Choi, 2018, Unsupervised change detection of KOMPSAT-3 satellite imagery based on cross-sharpened images by Guided filter, Korean Journal of Remote Sensing, 34(5): 777-786 (in Korean with English abstract).   DOI
11 Hwang, H.-J., K.-W. Lee, B.-D. Kwon, and H.-Y. Yoo, 2007, The classification accuracy improvement of satellite imagery using Wavelet based texture fusion image, Korean Journal of Remote Sensing, 23(2): 103-111 (in Korean with English abstract).   DOI
12 Jung, H.-S. and S.W. Park,, 2014. Multi-sensor fusion of Landsat 8 thermal infrared (TIR) and panchromatic (PAN) images, Sensors, 14(12): 24425-24440.   DOI
13 Jeong, N.-K., H.-S. Jung, K.-Y. Oh, S.-H. Park, and S.-C. Lee, 2016. Comparison analysis of quality assessment protocols for image fusion of KOMPSAT-2/3/3A, Korean Journal of Remote Sensing, 32(5): 453-469 (in Korean with English abstract).   DOI