1 |
D. S. Chang, Evaluation of levee stability using river bed sediments and weathered granite soils and development of its seepage stability charts, Ph.D dissertation, The graduate school Kyunghee University, pp. 1-3, 2007.
|
2 |
F. Van der Meer, "Bayesian inversion of imaging spectrometer data using a fuzzy geological outcrop model", International Journal of Remote Sensing, Vol. 24, pp. 4301-4310, 2003. DOI: http://dx.doi.org/10.1080/0143116021000047929
DOI
|
3 |
S. H. Kim, K. S. Lee, J. R. Ma, M. J. Kook, "Current status of hyperspectral remote sensing: principle, data processing techniques and applications", Korean Journal of Remote Sensing, Vol. 21, pp. 341-369, 2015.
|
4 |
J. W. Kim, Y. W. Jung, H. C. Rhim, "Study on Structure Visual Inspection Technology using Drones and Image Analysis Techniques", J. Korea Inst. Build. Constr., Vol. 17, No. 6, pp. 545-557, 2017. DOI: https://doi.org/10.5345/JKIBC.2017.17.6.545
DOI
|
5 |
J. H. Kim, Y. S. Shin, K. W. Min, "Line Laser Image Processing for Automated Crack Detection of Concrete Structures", J. Comput. Struct. Eng. Inst., Vol. 31, No. 3, pp. 147-153, 2018. DOI: https://doi.org/10.7734/COSEIK.2018.31.3.147
|
6 |
Y. K. Kim, "Development of Crack Recognition System for Concrete Structure Using Image Processing Method", Journal of Korean Institute of Information Technology, Vol. 14, No. 10, pp. 163-168, 2016.
|
7 |
M. Nieniewski, "Morphological detection and feature-based classification of cracked regions in ferrites", Machine Graphics & Vision, Vol. 8, No. 4, pp. 699-712, 1999.
|
8 |
H. W. Cho, H. J. Yoon, J. J. Park, "An Experimental study on Crack Recognition Characteristics of Concrete Structure based on Image Analysis according to Illuminance and Measurement Distance", J. Korean Soc. Hazard Mitig., Vol. 14, No. 1, pp. 85-91. 2014.
DOI
|
9 |
J. G. Kang, C. H. Lee, H. K. Yeo, J. T. Kim, "Correlation analysis on the water depth and peak data value of hyperspectral imagery", Ecology and Resilient Infrastructure, Vol. 6, No. 3, pp. 171-177, 2019. DOI: https://doi.org/10.17820/eri.2019.6.3.171
DOI
|
10 |
H. H. Lim, E. Cheon, D. H. Lee, J. S. Jeon, S. R. Lee, "Soil Water Content Measurement Technology Using Hyperspectral Visible and Near-Infrared Imaging Technique", Journal of the Korean Geotechnical Society, Vol. 35, No. 11, pp. 51-62, 2019. DOI: http://doi.org/10.7843/KGS.2019.35.11.51
|
11 |
L. Chen, Y. Shao, H. Jan, C. Huang, Y. Tien, "Measuring System for Cracks in Concrete using Multi temporal Images", J. Surv. Eng., Vol. 2, pp. 77-82, 2006.
|
12 |
T. C. Su, "Application of Computer Vision to Crack Detection of Concrete Structure", International Journal of Engineering and Technology, Vol. 5, No. 4, pp. 457-461, 2013. DOI: http://dx.doi.org/10.7763/IJET.2014.V5.596
DOI
|
13 |
T. Nishikawa, "Concrete crack detection by multiple sequential image ltering", In Computer-Aided Civil and Infrastructure Engineering, Vol. 27, No. 1, pp. 29-47, 2012.
DOI
|
14 |
D. Mhanolakis, G. Shaw, "Detection algorithms for hyperspectral imaging applications", IEEE Signal Processing Magazine, Vol. 35, pp. 29-43, 2002. DOI: http://dx.doi.org/10.1109/79.974724
|
15 |
D. Mhanolakis, D. Marden, G. Shaw, "Hyperspectral image processing for automatic target detection applications", Lincoln Laboratory Journal, Vol. 14, pp. 79-116, 2003.
|
16 |
H. M. Dierssen, A. Chlus, B. Russell, "Hyperspectral discrimination of floating mats of sea grass wrack and the macroalgae Sargassum in coastal waters of Greater Florida Bay using airborne remote sensing", Remote Sensing of Environment, Vol. 167, pp. 247-258, 2015.
DOI
|
17 |
Y. J. Kim, H. J. Han, J. G. Kang, "The Study on Spatial Classification of Riverine Environment using UAV Hyperspectral Image", Journal of the Korea Academia-industrial Cooperation Society, Vol. 19, No. 10, pp. 633-639, 2018. DOI: https://doi.org/10.5762/KAIS.2018.19.10.633
DOI
|
18 |
J. G. Kang, C. H. Lee, J. H. Kim, D. W. Ko, J. T. Kim, "An analysis of spectral characteristic information on the water level changes and bed materials", Ecology and Resilient Infrastructure, Vol. 6, No. 4, pp. 243-249, 2019. DOI: https://doi.org/10.17820/eri.2019.6.4.243
DOI
|