1 |
Bovolo, F., Marin, C., and Bruzzone, L. (2013), A hierarchical approach to change detection in very high resolution SAR images for surveillance applications, IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, No. 4, pp. 2042-2054.
DOI
|
2 |
Dekker, R.J. (2003), Texture analysis and classification of ERS SAR images for map updating of urban areas in the Netherlands, IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, No. 9, pp. 1950-1958.
DOI
|
3 |
Dempster, P., Laird, N.M., and Rubin, D.B. (1977), Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society, Vol. 39, No. 1, pp. 1-38.
|
4 |
Haralick, R.M., Shanmugam, K., and Dinstein, I. (1973), Textural features for image classification, IEEE Transactions on Systems, Man, and Cybernetics, Vol. SMC-3, No. 6, pp. 610-621.
DOI
|
5 |
Elguebaly, T. and Bouguila, M. (2011), Bayesian learning of finite generalized Gaussian mixture models on images, Signal Processing, Vol. 91, No. 4, pp. 801-820.
DOI
|
6 |
Gamba, P., Dell’Acqua, F., and Trianni, G. (2007), Rapid damage detection in the Bam area using multitemporal SAR and exploiting ancillary data, IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 6, pp. 1582-1589.
DOI
|
7 |
Gomes, O., Combes, C., and Dussauchoy, A. (2008), Parameter estimation of the generalized gamma distribution, Mathematics and Computers in Simulation, Vol. 79, No. 4, pp. 955-963.
DOI
|
8 |
Kang, A.R., Byun, Y.G., and Chae T.B. (2015), Development and evaluation of a texture-based urban change detection method using very high resolution SAR imagery, Korean Journal of Remote Sensing, Vol. 3, No. 3, pp. 255-265. (in Korean with English abstract)
DOI
|
9 |
Kittler, J. and Illingworth, J. (1986), Minimum error thresholding, Pattern Recognition, Vol. 19, No. 1, pp. 41-47.
DOI
|
10 |
Kubat, M., Holte, R.C., and Matwin, S. (1988), Machine learning for the detection of oil spills in satellite radar images, Machine Learning, Vol. 30, No. 2-3, pp. 195-215.
DOI
|
11 |
Kumar, S., Melkani, N., Awasthi, N., and Prakash, R. (2015), Texture analysis and classification of polarimetric SAR images using histogram measures, Proceedings of 2015 2nd International Conference on Signal Processing and Integrated Networks, IEEE, 19-20 February, Noida, India, pp. 506-511.
|
12 |
Lee, K., Jeon, S.H., and Kwon, B.D. (2005), Implementation of GLCM/GLDV-based texture algorithm and its application to high resolution imagery analysis, Korean Journal of Remote Sensing, Vol. 21, No. 2, pp. 121-133. (in Korean with English abstract)
DOI
|
13 |
Nguyen, T.M., Wu, Q.M.J., and Zhang, H. (2014), Bounded generalized Gaussian mixture model, Pattern Recognition, Vol. 47, No. 9, pp. 3132-3142.
DOI
|
14 |
Li, H.C., Hong, W., and Wu, Y.R. (2007) Generalized Gamma distribution with MoLC estimation for statistical modeling of SAR image, Proceedings of 1st Asian and Pacific Conference on Synthetic Aperture Radar, 2007, APSAR 2007, IEEE, 5-9 November, Huangshan, China, pp. 525-528.
|
15 |
Matsuoka, M. and Yamazaki, F. (2004), Use of satellite SAR intensity imagery for detecting building areas damaged due to earthquakes, Earthquake Spectra, Vol. 20, No. 3, pp. 975-994.
DOI
|
16 |
Nadarajah, S. (2005), A generalized normal distribution, Journal of Applied Statistics, Vol. 32, No. 7, pp. 685-694.
DOI
|
17 |
Otsu, N. (1975), A threshold selection method from graylevel histograms, IEEE Transactions on System, Man and Cybernetics, Vol. 9, No. 1, pp. 62–66.
DOI
|
18 |
Park, S.E., Yamaguchi, Y., and Kim, D. (2013), Polarimetric SAR remote sensing of the 2011 Tohoku earthquake using ALOS/PALSAR, Remote sensing of Environment, Vol. 132, pp. 212-220.
DOI
|
19 |
Soh, L.–K. and Tsatsoulis, C. (1999), Texture analysis of SAR sea ice imagery using gray level co-occurrence matrices, IEEE Transactions on Geoscience and Remote Sensing, Vol. 37, No. 2, pp. 780-795.
DOI
|
20 |
Rignot E.J.M. and Van Zyl, J.J. (1993), Change detection techniques for ERS-1 SAR data, IEEE Transactions on Geoscience and Remote Sensing, Vol. 31, No. 4, pp. 896-906.
DOI
|
21 |
Yang, M.S., Lai, C.Y., and Lin, C.Y. (2012), A robust EM clustering algorithm for Gaussian mixture models, Pattern Recognition, Vol. 45, No. 11, pp. 3950-3961.
DOI
|
22 |
Zhu, Z., Woodcock, C.E., Rogan, J., and Kellndorfer, J. (2012), Assessment of spectral, polarimetric, temporal, and spatial dimensions for urban and peri-urban land cover classification using Landsat and SAR data, Remote Sensing of Environment, Vol. 117, pp. 72-82.
DOI
|
23 |
Zyl, J.J. van and Kim, Y. (2011), Synthetic aperture radar polarimetry (Vol. 2), John Wiley & Sons, Inc., Hoboken, New Jersey.
|
24 |
Bovolo, F. and Bruzzone, L. (2007), A split-based approach to unsupervised change detection in large-size multitemporal images: Application to tsunami-damage assessment, IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 6, pp. 1658-1670.
DOI
|
25 |
Ainsworth, T.L., Kelly, J.P., and Lee, J.-S. (2009), Classification comparisons between dual-pol, compact polarimetric and quad-pol SAR imagery, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 64, No. 5, pp. 464-471.
DOI
|
26 |
Bazi, Y., Bruzzone, L., and Melgainim, F. (2007), Image thresholding based on the EM algorithm and the generalized Gaussian distribution, Pattern Recognition, Vol. 40, No. 2, pp. 619-634.
DOI
|
27 |
Bazi, Y., Melgani, F., Bruzzone, L., and Vernazza, G. (2009), A genetic expectation-maximization method for unsupervised change detection in multitemporal SAR imagery, International Journal of Remote Sensing, Vol. 30, No. 24, pp. 6591-6610.
DOI
|