Hyperspectral imagery classification using sparse representations of convolutional neural network features

ImageNet classification with deep convolutional neural networks

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A fast learning algorithm for deep belief nets

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Robust Face Recognition via Sparse Representation

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Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries

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CNN Features Off-the-Shelf: An Astounding Baseline for Recognition

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Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

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Greed is Good: Algorithmic Results for Sparse Approximation

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Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks

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Deep learning-based classification of hyperspectral data

Chen, Y., Lin, Z., Zhao, X., Wang, G., & Gu, Y. (2014) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2014.2329330 · Cited by 2,679 · see citing works

From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images

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Building high-level features using large scale unsupervised learning

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Classification of hyperspectral data from urban areas based on extended morphological profiles

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Contractive Auto-Encoders: Explicit Invariance During Feature Extraction

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Image processing with neural networks—a review

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Hyperspectral Image Classification Using Dictionary-Based Sparse Representation

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Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]

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Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles

Fauvel, M., Benediktsson, J. A., Chanussot, J., & Sveinsson, J. R. (2008) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2008.922034 · Cited by 1,009 · see citing works

Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles

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Classification and feature extraction for remote sensing images from urban areas based on morphological transformations

Benediktsson, J. A., Pesaresi, M., & Arnason, K. (2003) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2003.814625 · Cited by 762 · see citing works

Morphological Attribute Profiles for the Analysis of Very High Resolution Images

Mura, M. D., Benediktsson, J. A., Waske, B., & Bruzzone, L. (2010) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2010.2048116 · Cited by 721 · see citing works

Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks

Chen, X., Xiang, S., Liu, C., & Pan, C. (2014) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2014.2309695 · Cited by 619 · see citing works

Evaluation of convolutional neural networks for visual recognition

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Spectral–spatial classification of hyperspectral images using deep convolutional neural networks

Yue, J., Zhao, W., Mao, S., & Liu, H. (2015) · Remote Sensing Letters · doi:10.1080/2150704x.2015.1047045 · Cited by 525 · see citing works

Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations

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Spectral–Spatial Hyperspectral Image Classification via Multiscale Adaptive Sparse Representation

Fang, L., Li, S., Kang, X., & Benediktsson, J. A. (2014) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2014.2318058 · Cited by 321 · see citing works

A Nonlocal Weighted Joint Sparse Representation Classification Method for Hyperspectral Imagery

Zhang, H., Li, J., Huang, Y., & Zhang, L. (2013) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2013.2264720 · Cited by 284 · see citing works

Spectral-Spatial Constraint Hyperspectral Image Classification

Ji, R., Gao, Y., Hong, R., Liu, Q., Tao, D., & Li, X. (2013) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2013.2255297 · Cited by 205 · see citing works

On combining multiscale deep learning features for the classification of hyperspectral remote sensing imagery

Zhao, W., Guo, Z., Yue, J., Zhang, X., & Luo, L. (2015) · International Journal of Remote Sensing · doi:10.1080/2150704x.2015.1062157 · Cited by 194 · see citing works

Remotely Sensed Image Classification Using Sparse Representations of Morphological Attribute Profiles

Song, B., Li, J., Mura, M. D., et al. (2014) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2013.2286953 · Cited by 181 · see citing works

Manifold-Based Sparse Representation for Hyperspectral Image Classification

Tang, Y. Y., Yuan, H., & Li, L. (2014) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2014.2315209 · Cited by 126 · see citing works

A Novel Technique for Optimal Feature Selection in Attribute Profiles Based on Genetic Algorithms

Pedergnana, M., Marpu, P., Mura, M. D., et al. (2013) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2012.2224874 · Cited by 125 · see citing works

Spectral–Spatial Classification of Multispectral Images Using Kernel Feature Space Representation

Bernabé, S., Marpu, P., Plaza, A., et al. (2013) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2013.2256336 · Cited by 73 · see citing works

Classification of hyperspectral data using extended attribute profiles based on supervised and unsupervised feature extraction techniques

Marpu, P., Pedergnana, M., Mura, M. D., Peeters, S., Benediktsson, J. A., & Bruzzone, L. (2012) · International Journal of Image and Data Fusion · doi:10.1080/19479832.2012.702687 · Cited by 62 · see citing works

Supervised Segmentation of Very High Resolution Images by the Use of Extended Morphological Attribute Profiles and a Sparse Transform

Li, J., Zhang, H., & Zhang, L. (2014) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2013.2294241 · Cited by 39 · see citing works

Deep learning in remote sensing applications: A meta-analysis and review

Ma, L., Liu, Y., Zhang, X., Ye, Y., Yin, G., & Johnson, B. A. (2019) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2019.04.015 · Cited by 2,456 · see citing works

Deep Learning for Hyperspectral Image Classification: An Overview

Li, S., Song, W., Fang, L., Chen, Y., Ghamisi, P., & Benediktsson, J. A. (2019) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2019.2907932 · Cited by 2,007 · see citing works

Classification of Hyperspectral Images by Gabor Filtering Based Deep Network

Kang, X., Li, C., Li, S., & Lin, H. (2018) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2017.2767185 · Cited by 151 · see citing works

Exploiting deep matching and sar data for the geo-localization accuracy improvement of optical satellite images

Merkle, N., Luo, W., Auer, S., Müller, R., & Urtasun, R. (2017) · Remote Sensing · doi:10.3390/rs9060586 · Cited by 120 · see citing works

Estimating Dimensionality of Hyperspectral Data Using False Neighbour Method

Han, T., & Goodenough, D. G. (2008) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2008.4779288 · Cited by 4 · see citing works

Hyperspectral imaging target detection algorithm based on spatial 4 neighborhoods for sparse representation

Chun-hu, Z. (2013) · Cited by 2 · see citing works

An Overview of Sparse Representation Based Action Recognition in Video

Ushapreethi, P., & Lakshminriva, G. G. (2018) · International Conference on Computer, Communication and Signal Processing (ICCCSP) · doi:10.1109/icccsp.2018.8452844 · Cited by 1 · see citing works

Two dimensional synthesis sparse model

Qi, N., Shi, Y., Sun, X., Wang, J., & Yin, B. (2013) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2013.6607508 · Cited by 18 · see citing works

Sparse Representation On Single Image

Tan, J., Zhang, T., & Tang, Y. Y. (2019) · International Conference on Wavelet Analysis and Pattern Recognition · doi:10.1109/icwapr48189.2019.8946484