Citation: | FENG Jing, CHEN Liang, WEI Hang, et al., “A Novel Algorithm of Water Region Detection in SAR Image Based on Bag of Visual Words and Local Pattern Histogram,” Chinese Journal of Electronics, vol. 25, no. 5, pp. 974-979, 2016, doi: 10.1049/cje.2016.08.019 |
J. Feng, H. Chen, F.K. Bi, et al., "Detection of oil spills in a complex scene of SAR imagery", Science China Technological Sciences, Vol.57, No.11, pp.2204-2209, 2014.
|
N. Otsu, "A threshold selection method from gray-level histogram", IEEE Transactions on Systems, Man and Cybernetics, Vol.9, No.1, pp.62-66, 1979.
|
W.T. Lv, Q.Z. Yu and W.X. Yu, "Water extraction in SAR images using GLCM and support vector machine", IEEE 10th International Conference on Signal Processing (ICSP), Beijing, China, pp.740-743, 2010.
|
B. Cafaro, S. Canale and F. Pirri, "X-SAR spotlight image feature selection and water segmentation", IEEE International Conference on Imaging Systems and Techniques (IST), Manchester, U.K., pp.217-222, 2012.
|
S. Klemenjak, B. Waske, S. Valero, et al., "Automatic detection of rivers in high-resolution SAR data", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.5, No.5, pp.1364-1372, 2012.
|
M. Silveira and S. Heleno, "Separation between water and land in SAR images using region-based level sets", IEEE Geoscience and Remote Sensing Letter, Vol.6, No.3, pp.471-475, 2009.
|
L.L. Zhang, Y.N. Zhang, M. Wang, et al., "Adaptive river segmentation in SAR images", Journal of Electronics (China), Vol.26, No.4, pp.438-442, 2009.
|
X.H. Yuan and V. Sarma, "Automatic urban water-body detection and segmentation from sparse ALSM data via spatially constrained model-driven clustering", IEEE Geoscience and Remote Sensing Letter, Vol.8, No.1, pp.73-77, 2011.
|
J.Y. Yuan, D.L. Wang and R.X. Li, "Remote sensing image segmentation by combining spectral and texture features", IEEE Transactions on Geoscience and Remote Sensing, Vol.52, No.1, pp.16-24, 2014.
|
L. Weizman and J. Goldberger, "Urban-area segmentation using visual words", IEEE Geoscience and Remote Sensing Letter, Vol.6, No.3, pp.388-392, 2009.
|
S. Xu, T. Fang, D.R. Li, et al., "Object classification of aerial images with bag-of-visual words", IEEE Geoscience Remote Sensing Letter, Vol.7, No.2, pp.366-370, 2010.
|
Y.Y. Li, H.Z. Shi, L.C. Jiao, et al., "Quantum evolutionary clustering algorithm based on watershed applied to SAR image segmentation", Neurocomputing, Vol.87, pp.90-98, 2012.
|
J. Feng, L. Ma, F.K. Bi, et al., "A coarse-to-fine image registration method based on visual attention model", Science China Information Sciences, Vol.57, No.12, Article No.122302, 2014.
|
J. Feng, F.K. Bi, L. Chen, et al., "Capturing and tracking of building area based on structure saliency in airborne remote sensing video", Science China Information Sciences, Vol.58,No.4, Article No.049301, 2015.
|
J. Feng, L.C. Jiao, X.G. Zhang, et al., "Bag-of-visual-words based on clonal selection algorithm for SAR image classification", IEEE Geoscience and Remote Sensing Letter, Vol.8, No.4, pp.691-695, 2011.
|
D.X. Dai, W. Yang and H. Sun, "Multilevel local pattern histogram for SAR image classification", IEEE Geoscience Remote Sensing Letter, Vol.8, No.2, pp.225-229, 2011.
|
F.K. Bi, M.M. Bian, L.N. Gao, et al., "Improvement of salientregion detection using an integrated bottom-up model", IEEE 10th International Conference on Signal Processing (ICSP), Beijing, China, pp.836-840, 2010.
|