Empirical Wavelet Transform for Improved Hyperspectral Image Classification
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-23036-8_34
Reference12 articles.
1. Chen, Y., Nasrabadi, N.M., Tran, T.D.: Hyperspectral image classification via kernel sparse representation. IEEE Transactions on Geoscience and Remote Sensing 51, 217–231 (2013). doi: 10.1109/TGRS.2012.2201730
2. Chen, Y., Nasrabadi, N.M., Tran, T.D.: Hyperspectral image classification using dictionary-based sparse representation. IEEE Trans. Geosci. Remote Sens. 49, 3973–3985 (2011). doi: 10.1109/TGRS.2011.2129595
3. Chen, Y., Nasrabadi, N.M., Tran, T.D.: Simultaneous joint sparsity model for target detection in hyperspectral imagery. IEEE Geoscience and Remote Sensing Letters 8, 676–680 (2011). doi: 10.1109/LGRS.2010.2099640
4. Chen, Y., Nasrabadi, N.M., Tran, T.D.: Sparse representation for target detection in hyperspectral imagery. IEEE J. Sel. Topics Signal Process. 5, 629–640 (2011). doi: 10.1109/JSTSP.2011.2113170
5. Demir, B., Erturk, S.: Empirical mode decomposition of hyperspectral images for support vector machine classification. IEEE Transactions on Geoscience and Remote Sensing 48, 4071–4084 (2010). doi: 10.1109/TGRS.2010.2070510
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