SNMF-Net: Learning a Deep Alternating Neural Network for Hyperspectral Unmixing
暂无分享,去创建一个
Yuntao Qian | Shuyin Tao | Fengchao Xiong | Jianfeng Lu | Jun Zhou | Y. Qian | Fengchao Xiong | Jianfeng Lu | Jun Zhou | Shuyin Tao
[1] David Zhang,et al. Learning Iteration-wise Generalized Shrinkage–Thresholding Operators for Blind Deconvolution , 2016, IEEE Transactions on Image Processing.
[2] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[3] Antonio J. Plaza,et al. Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[4] Jun Zhou,et al. Hyperspectral Restoration via $L_0$ Gradient Regularized Low-Rank Tensor Factorization , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[5] Jocelyn Chanussot,et al. Object recognition in hyperspectral images using Binary Partition Tree representation , 2015, Pattern Recognit. Lett..
[6] Guolan Lu,et al. Medical hyperspectral imaging: a review , 2014, Journal of biomedical optics.
[7] David Zhang,et al. A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding , 2013, 2013 IEEE International Conference on Computer Vision.
[8] Bernhard Schölkopf,et al. Learning to Deblur , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Theodoor Jacques Marie Ruers,et al. A Dual Stream Network for Tumor Detection in Hyperspectral Images , 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).
[10] Jun Zhou,et al. Nonconvex Nonseparable Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing , 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[11] Jun Zhou,et al. Hyperspectral Unmixing via $L_{1/2}$ Sparsity-Constrained Nonnegative Matrix Factorization , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[12] Xiaohan Chen,et al. ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA , 2018, ICLR.
[13] Hassan Ghassemian,et al. Hyperspectral Unmixing Using Deep Convolutional Autoencoders in a Supervised Scenario , 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[14] Guangcan Liu,et al. Differentiable Linearized ADMM , 2019, ICML.
[15] Yuanchao Su,et al. DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[16] Weiwei Sun,et al. Self-Paced Nonnegative Matrix Factorization for Hyperspectral Unmixing , 2020, IEEE Transactions on Geoscience and Remote Sensing.
[17] Vibhav Vineet,et al. Conditional Random Fields as Recurrent Neural Networks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[18] Qian Du,et al. Hyperspectral Unmixing Using Sparsity-Constrained Deep Nonnegative Matrix Factorization With Total Variation , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[19] Joan Bruna,et al. Understanding Trainable Sparse Coding via Matrix Factorization , 2016, 1609.00285.
[20] Hing Cheung So,et al. Learning Proximal Operator Methods for Nonconvex Sparse Recovery with Theoretical Guarantee , 2020, IEEE Transactions on Signal Processing.
[21] Liang Zhang,et al. Subspace Structure Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing , 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[22] Xiangfeng Wang,et al. Nonnegative matrix factorization using ADMM: Algorithm and convergence analysis , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[23] Deyu Meng,et al. MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Yuan Yan Tang,et al. Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[25] Licheng Jiao,et al. Hyperspectral Unmixing via Deep Convolutional Neural Networks , 2018, IEEE Geoscience and Remote Sensing Letters.
[26] Hairong Qi,et al. uDAS: An Untied Denoising Autoencoder With Sparsity for Spectral Unmixing , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[27] Deyu Meng,et al. Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing , 2019, IEEE Transactions on Image Processing.
[28] José M. Bioucas-Dias,et al. Vertex component analysis: a fast algorithm to unmix hyperspectral data , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[29] Wen Gao,et al. Maximal Sparsity with Deep Networks? , 2016, NIPS.
[30] Yonina C. Eldar,et al. Efficient and Interpretable Deep Blind Image Deblurring Via Algorithm Unrolling , 2020, IEEE Transactions on Computational Imaging.
[31] Yuan Yan Tang,et al. Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[32] Johannes R. Sveinsson,et al. Convolutional Autoencoder for Spectral-Spatial Hyperspectral Unmixing , 2021, IEEE Trans. Geosci. Remote. Sens..
[33] Yuntao Qian,et al. Spectral Mixture Model Inspired Network Architectures for Hyperspectral Unmixing , 2020, IEEE Transactions on Geoscience and Remote Sensing.
[34] Xuelong Li,et al. Manifold Regularized Sparse NMF for Hyperspectral Unmixing , 2013, IEEE Transactions on Geoscience and Remote Sensing.
[35] Jiangtao Peng,et al. JMnet: Joint Metric Neural Network for Hyperspectral Unmixing , 2022, IEEE Transactions on Geoscience and Remote Sensing.
[36] Liangpei Zhang,et al. Total Variation Regularized Reweighted Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[37] Gozde Bozdagi Akar,et al. EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[38] Chein-I Chang,et al. Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery , 2001, IEEE Trans. Geosci. Remote. Sens..
[39] Paul Scheunders,et al. UnDIP: Hyperspectral Unmixing Using Deep Image Prior , 2021, IEEE Transactions on Geoscience and Remote Sensing.
[40] Rob Heylen,et al. Fully Constrained Least Squares Spectral Unmixing by Simplex Projection , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[41] Liangpei Zhang,et al. Spatial Group Sparsity Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[42] Xiaoxiao Li,et al. Deep Learning Markov Random Field for Semantic Segmentation , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[43] Xiaoqiang Lu,et al. Spectral–Spatial Joint Sparse NMF for Hyperspectral Unmixing , 2021, IEEE Transactions on Geoscience and Remote Sensing.
[44] Yuntao Qian,et al. Adaptive ${L}_{\bf 1/2}$ Sparsity-Constrained NMF With Half-Thresholding Algorithm for Hyperspectral Unmixing , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[45] Zhangyang Wang,et al. Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding , 2019, IEEE Transactions on Circuits and Systems for Video Technology.
[46] Kun Gao,et al. Hyperspectral Unmixing Using Orthogonal Sparse Prior-Based Autoencoder With Hyper-Laplacian Loss and Data-Driven Outlier Detection , 2020, IEEE Transactions on Geoscience and Remote Sensing.
[47] Jie Chen,et al. A Plug-and-Play Priors Framework for Hyperspectral Unmixing , 2020, IEEE Transactions on Geoscience and Remote Sensing.
[48] Chih-Jen Lin,et al. Projected Gradient Methods for Nonnegative Matrix Factorization , 2007, Neural Computation.
[49] Qi Xie,et al. A Model-Driven Deep Neural Network for Single Image Rain Removal , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[50] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[51] Saeed Gazor,et al. Smooth and Sparse Regularization for NMF Hyperspectral Unmixing , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[52] Ming-Hsuan Yang,et al. $L_0$ -Regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[53] Hairong Qi,et al. Endmember Extraction From Highly Mixed Data Using Minimum Volume Constrained Nonnegative Matrix Factorization , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[54] Pier Luigi Dragotti,et al. Deep Coupled ISTA Network for Multi-Modal Image Super-Resolution , 2020, IEEE Transactions on Image Processing.
[55] Jun Zhou,et al. Material Based Object Tracking in Hyperspectral Videos , 2018, IEEE Transactions on Image Processing.