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Special issue on Multimodal data fusion for multidimensional signal processing. (English) Zbl 1441.94004

Most of the articles will be reviewed individually.

MSC:

94-06 Proceedings, conferences, collections, etc. pertaining to information and communication theory
00B15 Collections of articles of miscellaneous specific interest
94A12 Signal theory (characterization, reconstruction, filtering, etc.)
Full Text: DOI

References:

[1] Gao, F., Lv, W., Zhang, Y., Sun, J., Wang, J., & Yang, E. (2016). A novel semisupervised support vector machine classifier based on active learning and context information. Multidimensional Systems and Signal Processing. doi:10.1007/s11045-016-0396-1. · Zbl 1441.94058
[2] Hallabia, H., Kallel, A., Ben Hamida, A., & Le Hégarat-Mascle, S. (2016). High spectral quality pansharpening approach based on MTF-matched filter banks. Multidimensional Systems and Signal Processing. doi:10.1007/s11045-016-0421-4. · Zbl 1441.94039
[3] Licciardi, G., Vivone, G., Dalla Mura, M., Restaino, R., & Chanussot, J. (2015). Multi-resolution analysis techniques and nonlinear PCA for hybrid pansharpening applications. Multidimensional Systems and Signal Processing. doi:10.1007/s11045-015-0359-y. · Zbl 1445.94009
[4] Mookambiga, A., & Gomathi, V. (2016). Comprehensive review on fusion techniques for spatial information enhancement in hyperspectral imagery. Multidimensional Systems and Signal Processing. doi:10.1007/s11045-016-0415-2. · Zbl 1441.94020
[5] Qing, C., Yu, F ., Xu, X., Huang, W., & Jin, J. (2016). Underwater video dehazing based on spatial-temporal information fusion. Multidimensional Systems and Signal Processing. doi:10.1007/s11045-016-0407-2. · Zbl 1441.94023
[6] Ren, J., Xu, M., Smith, J. S., & Cheng, S. (2016). Multi-view and multi-plane data fusion for effective pedestrian detection in intelligent visual surveillance. Multidimensional Systems and Signal Processing. doi:10.1007/s11045-016-0428-x. · Zbl 1441.94056
[7] Wang, Z., Lu, D., Zhang, D., Sun, M., & Zhou, Y. (2016). Fake modern Chinese painting identification based on spectral-spatial feature fusion on hyperspectral image. Multidimensional Systems and Signal Processing. doi:10.1007/s11045-016-0429-9. · Zbl 1441.94030
[8] Yan, Y., Ren, J., Li, Y., Windmill, J. F. C., Ijomah, W., & Chao, K.-M. (2016). Adaptive fusion of color and spatial features for noise-robust retrieval of colored logo and trademark images. Multidimensional Systems and Signal Processing. doi:10.1007/s11045-016-0382-7. · Zbl 1441.94031
[9] Zhao, H., Wei, W., Cai, J., Lei, F., & Luo, J. (2015). Distributed compressed sensing for multi-sourced fusion and secure signal processing in private cloud. Multidimensional Systems and Signal Processing. doi:10.1007/s11045-015-0371-2. · Zbl 1441.94054
[10] Zheng, J., Liu, Y., Ren, J., Zhu, T., Yan, Y., & Yang, H. (2016). Fusion of block and keypoints based approaches for effective copy-move image forgery detection. Multidimensional Systems and Signal Processing. doi:10.1007/s11045-016-0416-1. · Zbl 1441.94035
[11] Zhou, P., Cheng, G., Liu, Z., Bu, S., & Hu, X. (2015). Weakly supervised target detection in remote sensing images based on transferred deep features and negative bootstrapping. Multidimensional Systems and Signal Processing. doi:10.1007/s11045-015-0370-3. · Zbl 1441.94057
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