Browse > Article
http://dx.doi.org/10.7780/kjrs.2022.38.6.1.42

A Review on Mid-wave Infrared Remote Sensing Technique  

Lee, Kwon-Ho (Department of Atmospheric Environmental Sciences, Gangneung Wonju National University)
Kim, Heeseob (Satellite Application Division, Korea Aerospace Research Institute)
Publication Information
Korean Journal of Remote Sensing / v.38, no.6_1, 2022 , pp. 1557-1571 More about this Journal
Abstract
Throughout the wavelengths used by remote sensing sensors, the mid-wave infrared (MWIR) has wide applicability in our life such as land, environment, disasters, and military defense. However, due to the unique characteristics of the MWIR, remote sensing techniques in this wavelength region has not been greatly developed. Recently, the applied remote sensing techniques for the MWIR sensors are presenting in a new research field, and various research results are being reported domestically and internationally. In this study, research results on the MWIR remote sensing techniques developed were investigated and related literature records were statistically analyzed. Furthermore, based on the literature review of the current and past MWIR remote sensing techniques and major research results, current status and research trends of MWIR remote sensing are presented.
Keywords
Mid-wave infrared; Remote sensing; Algorithm; Radiative transfer; Satellite;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 Choi, J.-H., J.-H. Kim, I.-H. Jung, P.-H. Lee, and T.-K. Kim, 2010. Study on IR signature characteristics for different transmittance over the Korean south sea during summer and winter seasons, Journal of the Korea Institute of Military Science and Technology, 13(2): 320-327 (in Korean with English abstract).
2 Won, M.S., K.S. Koo, and M.B. Lee, 2007. An quantitative analysis of severity classification and burn severity for the large forest fire areas using normalized burn ratio of Landsat imagery, Journal of the Korean Association of Geographic Information Studies, 10(3): 80-92 (in Korean with English abstract).
3 Angelbratt, J., J. Mellqvist, T. Blumenstock, T. Borsdorff, S. Brohede, P. Duchatelet, F. Forster, F. Hase, E. Mahieu, D. Murtagh, A.K. Petersen, M. Schneider, R. Sussmann, and J. Urban, 2011. A new method to detect long term trends of methane (CH4) and nitrous oxide (N2O) total columns measured within the NDACC ground-based high resolution solar FTIR network, Atmospheric Chemistry and Physics, 11: 6167-6183. https://doi.org/10.5194/acp-11-6167-2011   DOI
4 Baek, S.G. and D.H. Jang, 2012. Evaluating the land surface characterization of high-resolution middle-infrared data for day and night time, Journal of the Korean Association of Geographic Information Studies, 15(2): 113-125 (in Korean with English abstract). https://doi.org/10.11108/kagis.2012.15.2.113   DOI
5 Kim, S.H., K.S. Lee, J.R. Ma, and M.J. Kook, 2005. Current status of hyperspectral remote sensing: principle, data processing technique, and applications, Korean Journal of Remote Sensing, 21(4): 341-369 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2005.21.4.341   DOI
6 Kim, T., H. Lee, J.-Y. Bae, T. Kim, J. Cha, D. Jung, and H. H. Cho, 2016. Susceptibility of combat aircraft modeled as an anisotropic source of infrared radiation, IEEE Transactions on Aerospace and Electronic Systems, 52(5): 2467-2476. https://doi:10.1109/taes.2016.150513   DOI
7 Lee, K.-H. and J.-M. Yum, 2019. A review on atmospheric correction technique using satellite remote sensing, Korean Journal of Remote Sensing, 35(6-1): 1011-1030 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2019.35.6.1.11   DOI
8 Zhang, T., M.J. Wooster, and W. Xu, 2017. Approaches for synergistically exploiting VIIRS I- and M-Band data in regional active fire detection and FRP assessment: A demonstration with respect to agricultural residue burning in Eastern China, Remote Sensing of Environment, 198: 407-424. https://doi.org/10.1016/j.rse.2017.06.028   DOI
9 Justin, G., G. Samiran, and S.-S. Yoo, 2019. Embedded surface plasmon resonant disc arrays for improved MWIR sensitivity and increased operating temperature of PbSe photoconductive detectors, Proc. of 2019 SPIE Conference - Plasmonics: Design, Materials, Fabrication, Characterization, and Applications XVII, San Diego, CA, USA, Aug. 11-15, vol. 11082, pp. 106-115. https://doi.org/10.1117/12.2528779   DOI
10 Berni, J.A.J., P.J. Zarco-Tejada, G. Sepulcre-Canto, E. Fereres, and F. Villalobos, 2009. Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery, Remote Sensing of Environment, 113: 2380-2388. https://doi.org/10.1016/j.rse.2009.06.018   DOI
11 Ullah, S., A.K. Skidmore, A. Ramoelo, T.A. Groen, M. Naeem, and A. Ali, 2014. Retrieval of leaf water content spanning the visible to thermal infrared spectra, ISPRS Journal of Photogrammetry and Remote Sensing, 93: 56-64. https://doi.org/10.1016/j.isprsjprs.2014.04.005   DOI
12 Gordon, I.E., L.S. Rothman, R.J. Hargreaves, R. Hashemi, E.V. Karlovets, F.M. Skinner, E.K. Conway, C. Hill, R.V. Kochanov, Y. Tan, P. Wcislo, A.A. Finenko, K. Nelson, P.F. Bernath, M. Birk, V. Boudon, A. Campargue, K.V. Chance, A. Coustenis, B.J. Drouin, J.-M. Flaud, R.R. Gamache, J.T. Hodges, D. Jacquemart, E.J. Mlawer, A.V. Nikitin, V.I. Perevalov, M. Rotger, J. Tennyson, G.C. Toon, H. Tran, V.G. Tyuterev, E.M. Adkins, A. Baker, A. Barbe, E. Cane, A.G. Csaszar, A. Dudaryonok, O. Egorov, A.J. Fleisher, H. Fleurbaey, A. Foltynowicz, T. Furtenbacher, J.J. Harrison, J.-M. Hartmann, V.-M. Horneman, X. Huang, T. Karman, J. Karns, S. Kassi, I. Kleiner, V. Kofman, F. Kwabia-Tchana, N.N. Lavrentieva, T.J. Lee, D.A. Long, A.A. Lukashevskaya, O.M. Lyulin, V. Y. Makhnev, W. Matt, S.T. Massie, M. Melosso, S.N. Mikhailenko, D. Mondelain, H.S.P. Muller, O.V. Naumenko, A. Perrin, O.L. Polyansky, E. Raddaoui, P.L. Raston, Z.D. Reed, M. Rey, C. Richard, R. Tobias, I. Sadiek, D.W. Schwenke, E. Starikova, K. Sung, F. Tamassia, S.A. Tashkun, J.V. Auwera, I.A. Vasilenko, A.A. Vigasin, G.L. Villanueva, B. VispoelTS, G. Wagner, A. Yachmenev, and S.N. Yurchenko, 2022. The HITRAN2020 molecular spectroscopic database, Journal of Quantitative Spectroscopy and Radiative Transfer, 277: 107949. https://doi.org/10.1016/j.jqsrt.2021.107949   DOI
13 Dai, X., X. Liu, L. Liu, B. Zhu, and Z. Fang, 2015. A novel image-guided FT-IR sensor using chalcogenide glass optical fibers for the detection of combustion gases, Sensors and Actuators B: Chemical, 220: 414-419. https://doi.org/10.1016/j.snb.2015.05.090   DOI
14 Desta, F., M. Buxton, and J. Jansen, 2020. Fusion of mid-wave infrared and long-wave infrared reflectance spectra for quantitative analysis of minerals, Sensors, 20(5): 1472. https://doi.org/10.3390/s20051472   DOI
15 Kim, S.B., M.H. Ahn, K.H. Kim, M.G. Kim, and H.S. Sakong, 2001. Technology tree and domestic research status of satellite remote-sensing of the Earth, Korean Journal of Remote Sensing, 17(3): 253-273 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2001.17.3.253   DOI
16 Lee, H. Y., 2006. Investigation of SAR systems, Technologies and application fields by a statistical analysis of SAR-related journal papers, Korean Journal of Remote Sensing, 22(2): 153-174 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2006.22.2.153   DOI