Salient Object Detection in Hyperspectral Images Using Felzenswalb’s Segmentation Algorithm
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-12700-7_46
Reference22 articles.
1. Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., Süsstrunk, S.: SLIC superpixels compared to state-of-the-art superpixel methods. IEEE Trans. Pattern Anal. Mach. Intell. 34(11), 2274–2282 (2012)
2. Cao, Y., Zhang, J., Tian, Q., Zhuo, L., Zhou, Q.: Salient target detection in hyperspectral images using spectral saliency. In: 2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP), pp. 1086–1090. IEEE (2015)
3. Felzenszwalb, P.F., Huttenlocher, D.P.: Efficient graph-based image segmentation. Int. J. Comput. Vision 59(2), 167–181 (2004)
4. Gao, Y., Yan, H., Zhang, L., Xi, R., Zhang, Y., Wei, W.: Matrix decomposition based salient object detection in hyperspectral imagery. In: 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), pp. 574–577. IEEE (2017)
5. Huang, C., Xu, T., Zhang, Y., Pan, C., Hao, J., Li, X.: Salient object detection on hyperspectral images in wireless network using CNN and saliency optimization. Ad Hoc Netw. 112, 102369
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