Effectiveness of Using the TIR Band in Landsat 8 Image Classification |
Lee, Mi Hee
(Dept. of Advanced Technology Fusion, Konkuk University)
Lee, Soo Bong (Dept. of Advanced Technology Fusion, Konkuk University) Kim, Yongmin (National Disaster Management Institute) Sa, Jiwon (Division of Interdisciplinary Studies, Dept. of Advanced Technology Fusion, Konkuk University) Eo, Yang Dam (Division of Interdisciplinary Studies, Dept. of Advanced Technology Fusion, Konkuk University) |
1 | Lee, H.J., Kim, S.W., Brioude, J., Cooper, O.R., Frost, G.J., Kim, C.H., Park, R.J., Trainer, M., and Woo, J.H. (2014), Transport of NOx in East Asia identified by satellite and in situ measurements and lagrangian particle dispersion model simulations, Journal of Geophysical Research: Atmospheres, Vol. 119, No. 5, pp. 2574-2596. DOI ScienceOn |
2 | Schneider, K. and Mauser, W. (1996), Processing and accuracy of Landsat thematic mapper data for lake surface temperature measurement, International Journal of Remote Sensing, Vol. 17, No. 11, pp. 2027-2041. DOI ScienceOn |
3 | Sugumaran, R., Pavuluri, M.K., and Zerr, D. (2003), The use of high-resolution imagery for identification of urban climax forest species using traditional and rule-based classification approach, IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, No. 9, pp. 1933-1939. DOI ScienceOn |
4 | Warner, T.A. and Nerry, F. (2009), Does single broadband or multispectral TIR data add information for classification of visible, near-and shortwave infrared imagery of urban areas?, International Journal of Remote Sensing, Vol. 30, No. 9, pp. 2155-2171. DOI ScienceOn |
5 | Zhang, J., Wang, Y., and Li, Y. (2006), A C++ program for retrieving land surface temperature from the data of Landsat TM/ETM+ band6, Computers & Geosciences, Vol. 32, No. 10, pp. 1796-1805. DOI ScienceOn |
6 | Kim, Y.H. (2008), Modified Substitute Wavelet Image Fusion Method-Application to IKONOS Image-, Master’s thesis, Graduate School of Seoul National University, Seoul, Korea, 46p. (in Korean with English abstract) |
7 | Kwon, B.K., Yamada, K., Niren, T., and Jo, M.H. (2003), A study on the landcover classification using band ratioing data of Landsat TM, Journal of the Korean Association of Geographic Information Studies, Vol. 2, No. 6, pp. 80-91. (in Korean with English abstract) |
8 | Lee, S.B., La, P.H., Eo, Y.D., and Pyeon, M.W. (2015), Generation of simulated image from atmospheric corrected Landsat TM images, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 33, No. 1, pp. 1-9. (in Korean with English abstract) DOI ScienceOn |
9 | Choi, J.W. and Kim, Y.I. (2010), Pan-sharpening algorithm of high-spatial resolution satellite image by using spectral and spatial characteristics, Journal of the Korean Society for Geospatial Information System, Vol. 2, No. 18, pp. 79-86. (in Korean with English abstract) |
10 | Lee, H.S., Oh, K.Y., and Jung, H.S. (2014), Comparative analysis of image fusion methods according to spectral responses of high-resolution optical sensors, Korean Journal of Remote Sensing, Vol. 30, No. 2, pp. 227-239. (in Korean with English abstract) DOI ScienceOn |
11 | Moon, C.Y., Lee, J.C., and Koo, J.H. (2012), U-city Policy Handbook: A Guide to the Ubiquitous City Policy of Korea, Sigma Press, Korea. |
12 | Park, M.E., Song, C.H., Park, R.S., Lee, J., Kim, J., Lee, S., Woo, J.-H., Carmichael, G.R., Eck, T.F., Holben, B.N., Lee, S.-S., Song, C.K., and Hong, Y.D. (2014), New approach to monitor transboundary particulate pollution over Northeast Asia, Atmospheric Chemistry and Physics, Vol. 14, No. 2, pp. 659-674. DOI |
13 | Coll, C., Galve, J.M., Sanchez, J.M., and Caselles, V. (2010), Validation of Landsat-7/ETM+ TIR-band calibration and atmospheric correction with ground-based measurements, IEEE Transactions on Geoscience and Remote Sensing, Vol. 1, No. 48, pp. 547-555. |
14 | Jeganathan, C., Hamm, N.A.S., Mukherjee, S., Atkinson, P.M., Raju, P.L.N., and Dadhwal, V.K. (2011), Evaluating a TIR image sharpening model over a mixed agricultural landscape in India, International Journal of Applied Earth Observation and Geoinformation, Vol. 13, No. 2, pp. 178-191. DOI ScienceOn |
15 | Eo, Y.D. (1999), Development of the Training Normalization Algorithm and the Class Separability Measurement for Satellite Image Classification, Ph.D. dissertation, Graduate School of Seoul National University, Seoul, Korea, 113p. (in Korean with English abstract) |
16 | Erdenechimeg, M., Choi, B.G., Na, Y.W., and Kim, T.H. (2010), Detection of land cover change using Landsat image data in desert area, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 2, pp. 471-476. |
17 | FLAASH (2009), Atmospheric Correction Module: QUAC and FLAASH User’s Guide, Version 4. 7, ITT Visual Information Solutions Inc., Boulder, Co. |
18 | Jensen, J.R. (2007), Remote Sensing of the Environment: An Earth Resource Perspective 2nd Edition, Prentice Hall Series in Geographic Information Science, Pearson Prentice Hal Inc, New Jersey. |
19 | Jung, H.S. and Park, S.W. (2014), Multi-sensor fusion of Landsat 8 TIR and panchromatic images, Sensors, Vol. 14, No. 2, pp. 24425-24440. DOI ScienceOn |
20 | Chander, G. and Markham, B. (2003), Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges, IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, No. 11, pp. 2674-2677. DOI ScienceOn |
21 | Choi, J.W. (2011), Hybrid Pansharpening Algorithm of High-Spatial Resolution Satellite Images by Extracting Automatic Parameter Based on Spatial Correlation, Ph.D. dissertation, Graduate School of Seoul National University, Seoul, Korea, 114p. (in Korean with English abstract) |