References
- Acito, N., M. Diani, and G. Corsini. 2011. “Signal-dependent Noise Modeling and Model Parameter Estimation in Hyperspectral Images.” IEEE Transactions on Geoscience and Remote Sensing 49 (8): 2957–2971. doi:10.1109/TGRS.2011.2110657.
- Chen, G., and S. Qian. 2009. “Denoising and Dimensionality Reduction of Hyperspectral Imagery Using Wavelet Packets, Neighbour Shrinking and Principal Component Analysis.” International Journal of Remote Sensing 30 (18): 4889–4895. doi:10.1080/01431160802653724.
- Chen, J., J. Chen, H. Chao, and M. Yang. 2018. “Image Blind Denoising with Generative Adversarial Network Based Noise Modeling.” IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, USA, 3155–3164. doi:10.1109/CVPR.2018.00333.
- Cho, K. 2013. “Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images.” International Conference on Machine Learning, Atlanta, USA, 432–440.
- Dabov, K., A. Foi, V. Katkovnik, and K. Egiazarian. 2007. “Image Denoising by Sparse 3-D Transform-domain Collaborative Filtering.” IEEE Transactions on Image Processing 16 (8): 2080–2095. doi:10.1109/TIP.2007.901238.
- Gondara, L. 2016. “Medical Image Denoising Using Convolutional Denoising Autoencoders.” IEEE 16th International Conference on Data Mining Workshops (ICDMW), Barcelona, Spain, 241–246. doi:10.1109/ICDMW.2016.0041.
- Haertel, V., and Y. Shimabukuro. 2005. “Spectral Linear Mixing Model in Low Spatial Resolution Image Data.” IEEE Transactions on Geoscience and Remote Sensing 43 (11): 2555–2562. doi:10.1109/TGRS.2005.848692.
- Hsu, S. M., and H. H. Burke. 2005. “Multisensor Fusion with Hyperspectral Imaging Data: Detection and Classification.” Handbook of Pattern Recognition and Computer Vision 36–347. doi:10.1142/9789812775320_0019.
- Keskar, N., D. Mudigere, J. Nocedal, M. Smelyanskiy, and P. Tang. 2016. “On Large-batch Training for Deep Learning: Generalization Gap and Sharp Minima.” Computer Science, Cornell University, arXiv:1609.04836.
- Lin, T., J. Marot, and S. Bourennane. 2013. “Small Target Detection Improvement in Hyperspectral Image.” International Conference on Advanced Concepts for Intelligent Vision Systems 8192: 460–469. doi:10.1007/978-3-319-02895-8_41.
- Liu, X., S. Bourennane, and C. Fossati. 2013. “Reduction of Signal-dependent Noise from Hyperspectral Images for Target Detection.” IEEE Transactions on Geoscience and Remote Sensing 52 (9): 5396–5411. doi:10.1109/TGRS.2013.2288525.
- Maffei, A., J. M. Haut, M. E. Paoletti, J. Plaza, L. Bruzzone, and A. Plaza. 2019. “A Single Model CNN for Hyperspectral Image Denoising.” IEEE Transactions on Geoscience and Remote Sensing 58 (4): 2516–2529. doi:10.1109/TGRS.2019.2952062.
- Park, J., S. Oh, K. Park, T. Kim, and M. Lee. 2020. “Applying Hyperspectral Remote Sensing Methods to Ship Detection Based on Airborne and Ground Experiments.” International Journal of Remote Sensing 1–25. doi:10.1080/01431161.2019.1707904.
- Renard, N., and S. Bourennane. 2008. “Improvement of Target Detection Methods by Multiway Filtering.” IEEE Transactions on Geoscience and Remote Sensing 46 (8): 2407–2417. doi:10.1109/TGRS.2008.918419.
- Sun, L., Z. Wu, J. Liu, L. Xiao, and Z. Wei. 2014. “Supervised Spectral–spatial Hyperspectral Image Classification with Weighted Markov Random Fields.” IEEE Transactions on Geoscience and Remote Sensing 53 (3): 1490–1503. doi:10.1109/TGRS.2014.2344442.
- Tian, C., L. Fei, W. Zhen, Y. Xu, W. Zuo, and C. Lin. 2019. “Deep Learning on Image Denoising: An Overview.” arXiv Preprint, arXiv:1912.13171.
- Uss, M., B. Vozel, V. Lukin, and K. Chehdi. 2011. “Local Signal-dependent Noise Variance Estimation from Hyperspectral Textural Images.” IEEE Journal of Selected Topics in Signal Processing 5 (3): 469–486. doi:10.1109/JSTSP.2010.2104312.
- Vincent, P., H. Larochelle, Y. Bengio, and P. A. Manzagol. 2008. “Extracting and Composing Robust Features with Denoising Autoencoders.” The 25th International Conference on Machine learning, Helsinki, Finland, 1096–1103. doi:10.1145/1390156.1390294.
- Yuan, Q., Q. Zhang, J. Li, H. Shen, and L. Zhang. 2018. “Hyperspectral Image Denoising Employing a Spatial–spectral Deep Residual Convolutional Neural Network.” IEEE Transactions on Geoscience and Remote Sensing 57 (2): 1205–1218. doi:10.1109/TGRS.2018.2865197.
- Yuen, P., and M. Richardson. 2010. “An Introduction to Hyperspectral Imaging and Its Application for Security, Surveillance and Target Acquisition.” The Imaging Science Journal 58 (5): 241–253. doi:10.1179/174313110X12771950995716.
- Zha, X., R. Fu, Z. Dai, and B. Liu. 2008. “Noise Reduction in Interferograms Using the Wavelet Packet Transform and Wiener Filtering.” IEEE Geoscience and Remote Sensing Letters 5 (3): 404–408. doi:10.1109/LGRS.2008.916066.
- Zhang, K., W. Zuo, Y. Chen, D. Meng, and L. Zhang. 2017. “Beyond a Gaussian Denoiser: Residual Learning of Deep Cnn for Image Denoising.” IEEE Transactions on Image Processing 26 (7): 3142–3155. doi:10.1109/TIP.2017.2662206.
- Zhang, Q., Q. Yuan, J. Li, F. Sun, and L. Zhang. 2020. “Deep Spatio-spectral Bayesian Posterior for Hyperspectral Image Non-iid Noise Removal.” ISPRS Journal of Photogrammetry and Remote Sensing 164: 125–137. doi:10.1016/j.isprsjprs.2020.04.010.