Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification
暂无分享,去创建一个
[1] P. W. Scott,et al. Evaluation of hyperspectral remote sensing as a means of environmental monitoring in the St. Austell China clay (kaolin) region, Cornwall, UK , 2004 .
[2] Antonio J. Plaza,et al. A New Spatial–Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[3] Matthew J. Hoffman,et al. Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[4] Nicholas Ayache,et al. Geometric Means in a Novel Vector Space Structure on Symmetric Positive-Definite Matrices , 2007, SIAM J. Matrix Anal. Appl..
[5] Bernhard Schölkopf,et al. Learning with Local and Global Consistency , 2003, NIPS.
[6] Terrence J. Sejnowski,et al. Unsupervised Learning , 2018, Encyclopedia of GIS.
[7] Carola-Bibiane Schönlieb,et al. Peekaboo-Where are the Objects? Structure Adjusting Superpixels , 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).
[8] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[9] Gang Hua,et al. Hyperspectral Image Classification Through Bilayer Graph-Based Learning , 2014, IEEE Transactions on Image Processing.
[10] Shihong Du,et al. Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[11] Jon Atli Benediktsson,et al. Classification of Hyperspectral Images by Exploiting Spectral–Spatial Information of Superpixel via Multiple Kernels , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[12] Jon Atli Benediktsson,et al. Spectral–Spatial Classification of Hyperspectral Images With a Superpixel-Based Discriminative Sparse Model , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[13] Lin Zhu,et al. Generative Adversarial Networks for Hyperspectral Image Classification , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[14] Fatih Murat Porikli,et al. Region Covariance: A Fast Descriptor for Detection and Classification , 2006, ECCV.
[15] Yi Ma,et al. Superpixel-Based Extended Random Walker for Hyperspectral Image Classification , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[16] Stanley Osher,et al. Unsupervised Classification in Hyperspectral Imagery With Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[17] Lorenzo Bruzzone,et al. Classification of hyperspectral remote sensing images with support vector machines , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[18] Bo Du,et al. Joint Sparse Representation and Multitask Learning for Hyperspectral Target Detection , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[19] Lorenzo Bruzzone,et al. Transductive SVMs for semisupervised classification of hyperspectral data , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..
[20] Jon Atli Benediktsson,et al. Spectral–Spatial Hyperspectral Image Classification With Edge-Preserving Filtering , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[21] Pascal Fua,et al. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Yanfeng Gu,et al. Tensor Matched Subspace Detector for Hyperspectral Target Detection , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[23] Qingquan Li,et al. Superpixel-Based Multitask Learning Framework for Hyperspectral Image Classification , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[24] Yong-Jin Liu,et al. Manifold SLIC: A Fast Method to Compute Content-Sensitive Superpixels , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Nicolas Papadakis,et al. Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification , 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.
[26] S. P. Lloyd,et al. Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.
[27] Matthias W. Seeger,et al. Using the Nyström Method to Speed Up Kernel Machines , 2000, NIPS.
[28] Jon Atli Benediktsson,et al. Semisupervised Self-Learning for Hyperspectral Image Classification , 2013, IEEE Transactions on Geoscience and Remote Sensing.
[29] Arjuna Flenner,et al. Diffuse Interface Models on Graphs for Classification of High Dimensional Data , 2012, SIAM Rev..
[30] Giorgos Mallinis,et al. On the Use of Unmanned Aerial Systems for Environmental Monitoring , 2018, Remote. Sens..
[31] Tao Wang,et al. Bio-Inspired Adaptive Hyperspectral Imaging for Real-Time Target Tracking , 2010, IEEE Sensors Journal.
[32] G. Mercier,et al. Support vector machines for hyperspectral image classification with spectral-based kernels , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).
[33] Bastian Leibe,et al. Superpixels: An evaluation of the state-of-the-art , 2016, Comput. Vis. Image Underst..
[34] Nikolaos Doulamis,et al. Deep supervised learning for hyperspectral data classification through convolutional neural networks , 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
[35] Bruce J. Tromberg,et al. Face Recognition in Hyperspectral Images , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[36] Dan Hu,et al. Semisupervised Hyperspectral Image Classification Based on Generative Adversarial Networks , 2018, IEEE Geoscience and Remote Sensing Letters.
[37] Jon Atli Benediktsson,et al. Feature Extraction of Hyperspectral Images With Image Fusion and Recursive Filtering , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[38] Jiasong Zhu,et al. Cascade Superpixel Regularized Gabor Feature Fusion for Hyperspectral Image Classification , 2020, IEEE Transactions on Neural Networks and Learning Systems.
[39] Jiasong Zhu,et al. Collaborative Representation-Based Multiscale Superpixel Fusion for Hyperspectral Image Classification , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[40] Matthew J. Hoffman,et al. Real-Time Vehicle Tracking in Aerial Video Using Hyperspectral Features , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[41] Qingquan Li,et al. Local Binary Pattern-Based Hyperspectral Image Classification With Superpixel Guidance , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[42] Rama Chellappa,et al. Entropy rate superpixel segmentation , 2011, CVPR 2011.
[43] Gustavo Camps-Valls,et al. Semi-Supervised Graph-Based Hyperspectral Image Classification , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[44] Qian Du,et al. Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[45] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[46] Trac D. Tran,et al. Hyperspectral Image Classification Using Dictionary-Based Sparse Representation , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[47] Jitendra Malik,et al. Learning a classification model for segmentation , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.