Unsupervised Segmentation of Hyperspectral Images Using 3-D Convolutional Autoencoders
暂无分享,去创建一个
Jakub Nalepa | Tomomi Takeda | Michal Myller | Ken-ichi Honda | Yasuteru Imai | Marek Antoniak | T. Takeda | Y. Imai | J. Nalepa | Marek Antoniak | Michal Myller | K. Honda
[1] Naoto Yokoya,et al. Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest , 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[2] Xing Zhao,et al. Spectral–Spatial Classification of Hyperspectral Data Based on Deep Belief Network , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[3] Amir Averbuch,et al. A Diffusion Approach to Unsupervised Segmentation of Hyper-Spectral Images , 2017, IJCCI.
[4] Jakub Nalepa,et al. Transfer Learning for Segmenting Dimensionally Reduced Hyperspectral Images , 2020, IEEE Geoscience and Remote Sensing Letters.
[5] Sangwook Lee,et al. Unsupervised segmentation for hyperspectral images using mean shift segmentation , 2010, Optical Engineering + Applications.
[6] En Zhu,et al. Deep Clustering with Convolutional Autoencoders , 2017, ICONIP.
[7] Jie Liang,et al. Spectral-spatial Feature Extraction for Hyperspectral Image Classification , 2016 .
[8] Hamid Saeed Khan,et al. Modern Trends in Hyperspectral Image Analysis: A Review , 2018, IEEE Access.
[9] Jakub Nalepa,et al. Training- and Test-Time Data Augmentation for Hyperspectral Image Segmentation , 2020, IEEE Geoscience and Remote Sensing Letters.
[10] Xiao Xiang Zhu,et al. Deep Recurrent Neural Networks for Hyperspectral Image Classification , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[11] Jakub Nalepa,et al. Segmentation of Multispectral Data Simulated from Hyperspectral Imagery , 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.
[12] Mark J. Embrechts,et al. On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification , 2009, ICANN.
[13] Sarp Ertürk,et al. Unsupervised Segmentation of Hyperspectral Images Using Modified Phase Correlation , 2006, IEEE Geoscience and Remote Sensing Letters.
[14] Jakub Nalepa,et al. Validating Hyperspectral Image Segmentation , 2018, IEEE Geoscience and Remote Sensing Letters.
[15] Xiuping Jia,et al. Hyperspectral Image Classification Using Convolutional Neural Networks and Multiple Feature Learning , 2018, Remote. Sens..
[16] Xiao Xiang Zhu,et al. Unsupervised Spectral–Spatial Feature Learning via Deep Residual Conv–Deconv Network for Hyperspectral Image Classification , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[17] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[18] Pabitra Mitra,et al. BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[19] Shutao Li,et al. Learning to Diversify Deep Belief Networks for Hyperspectral Image Classification , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[20] Qingshan Liu,et al. Cascaded Recurrent Neural Networks for Hyperspectral Image Classification , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[21] Yansheng Li,et al. Unsupervised Spectral–Spatial Feature Learning With Stacked Sparse Autoencoder for Hyperspectral Imagery Classification , 2015, IEEE Geoscience and Remote Sensing Letters.
[22] Taner Ince,et al. Sparse Representation-Based Hyperspectral Image Classification Using Multiscale Superpixels and Guided Filter , 2019, IEEE Geoscience and Remote Sensing Letters.