Airborne Object Detection Using Hyperspectral Imaging: Deep Learning Review
暂无分享,去创建一个
Eryk Dutkiewicz | Dinh Thai Hoang | M. Xu | Stuart Perry | T. T. Pham | M. A. Takalkar | H. A. Truong | E. Dutkiewicz | D. Hoang | S. Perry | T. Pham | M. Takalkar | Min Xu | H. Truong
[1] Paul Scheunders,et al. A band selection technique for spectral classification , 2005, IEEE Geoscience and Remote Sensing Letters.
[2] Joydeep Ghosh,et al. Random forests of binary hierarchical classifiers for analysis of hyperspectral data , 2003, IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003.
[3] David A. Landgrebe,et al. Signal Theory Methods in Multispectral Remote Sensing , 2003 .
[4] Sen Jia,et al. Convolutional neural networks for hyperspectral image classification , 2017, Neurocomputing.
[5] Steven M. Adler-Golden,et al. Atmospheric compensation of extreme off-nadir hyperspectral imagery from Hyperion , 2007, SPIE Defense + Commercial Sensing.
[6] Wenju Wang,et al. A Fast Dense Spectral-Spatial Convolution Network Framework for Hyperspectral Images Classification , 2018, Remote. Sens..
[7] Jefersson Alex dos Santos,et al. Towards better exploiting convolutional neural networks for remote sensing scene classification , 2016, Pattern Recognit..
[8] Li Ma,et al. Local Manifold Learning-Based $k$ -Nearest-Neighbor for Hyperspectral Image Classification , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[9] Haokui Zhang,et al. Spectral-spatial classification of hyperspectral imagery using a dual-channel convolutional neural network , 2017 .
[10] Sildomar T. Monteiro,et al. Machine learning based hyperspectral image analysis: A survey , 2018, ArXiv.
[11] Jiang Xinhua,et al. HYPERSPECTRAL DATA FEATURE EXTRACTION USING DEEP BELIEF NETWORK , 2016 .
[12] Jon Atli Benediktsson,et al. SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images , 2010, IEEE Geoscience and Remote Sensing Letters.
[13] Shutao Li,et al. Hyperspectral Image Classification With Deep Feature Fusion Network , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[14] Xuelong Li,et al. Spectral-Spatial Constraint Hyperspectral Image Classification , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[15] Rick Archibald,et al. Feature Selection and Classification of Hyperspectral Images With Support Vector Machines , 2007, IEEE Geoscience and Remote Sensing Letters.
[16] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[17] J. Chanussot,et al. Hyperspectral Remote Sensing Data Analysis and Future Challenges , 2013, IEEE Geoscience and Remote Sensing Magazine.
[18] Trac D. Tran,et al. Hyperspectral Image Classification via Kernel Sparse Representation , 2013, IEEE Trans. Geosci. Remote. Sens..
[19] 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).
[20] Allan Aasbjerg Nielsen,et al. Kernel Maximum Autocorrelation Factor and Minimum Noise Fraction Transformations , 2011, IEEE Transactions on Image Processing.
[21] Thomas L. Ainsworth,et al. Exploiting manifold geometry in hyperspectral imagery , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[22] Thomas L. Ainsworth,et al. Bathymetric Retrieval From Hyperspectral Imagery Using Manifold Coordinate Representations , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[23] Lorenzo Bruzzone,et al. Classification of hyperspectral remote sensing images with support vector machines , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[24] Raymond Y. K. Lau,et al. Hyperspectral Image Classification With Deep Learning Models , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[25] Bernhard Schölkopf,et al. Remote Sensing Feature Selection by Kernel Dependence Measures , 2010, IEEE Geoscience and Remote Sensing Letters.
[26] Gang Wang,et al. Deep Learning-Based Classification of Hyperspectral Data , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[27] Lin Na,et al. Hyperspectral Remote Sensing Image Feature Extraction based on Kernel Minimum Noise Fraction Transformation , 2013 .
[28] Lorenzo Bruzzone,et al. A technique for feature selection in multiclass problems , 2000 .
[29] Antonio Plaza,et al. A new deep convolutional neural network for fast hyperspectral image classification , 2017, ISPRS Journal of Photogrammetry and Remote Sensing.
[30] G. F. Hughes,et al. On the mean accuracy of statistical pattern recognizers , 1968, IEEE Trans. Inf. Theory.
[31] Robert F. Cromp,et al. Analyzing hyperspectral data with independent component analysis , 1998, Other Conferences.
[32] Robert I. Damper,et al. Band Selection for Hyperspectral Image Classification Using Mutual Information , 2006, IEEE Geoscience and Remote Sensing Letters.
[33] Carola-Bibiane Schönlieb,et al. A DIVERSIFIED DEEP BELIEF NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION , 2016 .
[34] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[35] Yasemin Yardimci,et al. Hyperspectral classification using stacked autoencoders with deep learning , 2014, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
[36] Naoto Yokoya,et al. Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art , 2017, IEEE Geoscience and Remote Sensing Magazine.
[37] Paolo Gamba,et al. A Novel Approach for Efficient $p$-Linear Hyperspectral Unmixing , 2015, IEEE Journal of Selected Topics in Signal Processing.
[38] Trac D. Tran,et al. Hyperspectral Image Classification Using Dictionary-Based Sparse Representation , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[39] M. F. Baumgardner,et al. 220 Band AVIRIS Hyperspectral Image Data Set: June 12, 1992 Indian Pine Test Site 3 , 2015 .
[40] Jon Atli Benediktsson,et al. Classification of Hyperspectral Images by Using Extended Morphological Attribute Profiles and Independent Component Analysis , 2011, IEEE Geoscience and Remote Sensing Letters.
[41] Xiuping Jia,et al. Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[42] Johannes R. Sveinsson,et al. Classification of hyperspectral data from urban areas based on extended morphological profiles , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[43] Qian Du,et al. Hyperspectral Image Classification Using Deep Pixel-Pair Features , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[44] Antonio J. Plaza,et al. Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[45] Thomas L. Ainsworth,et al. Manifold coordinate representations of hyperspectral imagery: Improvements in algorithm performance and computational efficiency , 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.
[46] Panagiotis Tsakalides,et al. Spectral Super-Resolution for Hyperspectral Images via Sparse Representations , 2016 .
[47] Panagiotis Tsakalides,et al. Spectral Resolution Enhancement of Hyperspectral Images via Sparse Representations , 2016, Computational Imaging.
[48] Lorenzo Bruzzone,et al. Classification of Hyperspectral Images With Regularized Linear Discriminant Analysis , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[49] Qingshan Liu,et al. Cascaded Recurrent Neural Networks for Hyperspectral Image Classification , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[50] H. Ghassemian,et al. Improving hyperspectral image classification by combining spectral, texture, and shape features , 2015 .
[51] Glenn Healey,et al. The impact of viewing geometry on material discriminability in hyperspectral images , 2001, IEEE Trans. Geosci. Remote. Sens..
[52] Lorenzo Bruzzone,et al. Kernel-based methods for hyperspectral image classification , 2005, IEEE Transactions on Geoscience and Remote Sensing.