Spectral–spatial classification of hyperspectral images using trilateral filter and stacked sparse autoencoder

Chunhui Zhao; Xiaoqing Wan; Genping Zhao; Yiming Yan

doi:10.1117/1.jrs.11.016033

Spectral–spatial classification of hyperspectral images using trilateral filter and stacked sparse autoencoder

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.11.016033 ◽

2017 ◽

Vol 11 (1) ◽

pp. 016033 ◽

Cited By ~ 4

Author(s):

Chunhui Zhao ◽

Xiaoqing Wan ◽

Genping Zhao ◽

Yiming Yan

Keyword(s):

Hyperspectral Images ◽

Spatial Classification ◽

Trilateral Filter ◽

Sparse Autoencoder ◽

Stacked Sparse Autoencoder

Spectral-spatial classification of hyperspectral images based on joint bilateral filter and stacked sparse autoencoder

2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS) ◽

10.1109/eiis.2017.8298563 ◽

2017 ◽

Author(s):

Chunhui Zhao ◽

Xiaoqing Wan ◽

Yiming Yan

Keyword(s):

Bilateral Filter ◽

Hyperspectral Images ◽

Spatial Classification ◽

Sparse Autoencoder ◽

Stacked Sparse Autoencoder ◽

Joint Bilateral Filter

Spectral-Spatial Classification of Hyperspectral Imagery Based on Stacked Sparse Autoencoder and Random Forest

European Journal of Remote Sensing ◽

10.1080/22797254.2017.1274566 ◽

2017 ◽

Vol 50 (1) ◽

pp. 47-63 ◽

Cited By ~ 21

Author(s):

Chunhui Zhao ◽

Xiaoqing Wan ◽

Genping Zhao ◽

Bing Cui ◽

Wu Liu ◽

...

Keyword(s):

Random Forest ◽

Hyperspectral Imagery ◽

Spatial Classification ◽

Sparse Autoencoder ◽

Stacked Sparse Autoencoder

Local receptive field constrained stacked sparse autoencoder for classification of hyperspectral images

Journal of the Optical Society of America A ◽

10.1364/josaa.34.001011 ◽

2017 ◽

Vol 34 (6) ◽

pp. 1011 ◽

Cited By ~ 2

Author(s):

Xiaoqing Wan ◽

Chunhui Zhao

Keyword(s):

Receptive Field ◽

Hyperspectral Images ◽

Sparse Autoencoder ◽

Stacked Sparse Autoencoder

Spectral-spatial classification method for hyperspectral images using stacked sparse autoencoder suitable in limited labelled samples situation

Geocarto International ◽

10.1080/10106049.2020.1797188 ◽

2020 ◽

pp. 1-24

Author(s):

Seyyed Ali Ahmadi ◽

Nasser Mehrshad ◽

Seyyed Mohammadali Arghavan

Keyword(s):

Hyperspectral Images ◽

Classification Method ◽

Spatial Classification ◽

Sparse Autoencoder ◽

Stacked Sparse Autoencoder

Spectral-spatial classification of hyperspectral images using wavelet transform and hidden Markov random fields

Geocarto International ◽

10.1080/10106049.2017.1303087 ◽

2017 ◽

Vol 33 (8) ◽

pp. 771-790 ◽

Cited By ~ 4

Author(s):

Elham Kordi Ghasrodashti ◽

Mohammad Sadegh Helfroush ◽

Habibollah Danyali

Keyword(s):

Wavelet Transform ◽

Random Fields ◽

Markov Random Fields ◽

Hidden Markov ◽

Hyperspectral Images ◽

Spatial Classification ◽

Markov Random

Multi-scale superpixel spectral–spatial classification of hyperspectral images

International Journal of Remote Sensing ◽

10.1080/01431161.2016.1225175 ◽

2016 ◽

Vol 37 (20) ◽

pp. 4905-4922 ◽

Cited By ~ 20

Author(s):

Shanshan Li ◽

Li Ni ◽

Xiuping Jia ◽

Lianru Gao ◽

Bing Zhang ◽

...

Keyword(s):

Hyperspectral Images ◽

Spatial Classification ◽

Multi Scale

Sparse Representation-Based Augmented Multinomial Logistic Extreme Learning Machine With Weighted Composite Features for Spectral–Spatial Classification of Hyperspectral Images

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2018.2828601 ◽

2018 ◽

Vol 56 (11) ◽

pp. 6263-6279 ◽

Cited By ~ 16

Author(s):

Faxian Cao ◽

Zhijing Yang ◽

Jinchang Ren ◽

Wing-Kuen Ling ◽

Huimin Zhao ◽

...

Keyword(s):

Sparse Representation ◽

Extreme Learning Machine ◽

Hyperspectral Images ◽

Spatial Classification ◽

Learning Machine

Spectral-Spatial Classification of Hyperspectral Images Using Joint Bilateral Filter and Graph Cut Based Model

10.20944/preprints201608.0022.v1 ◽

2016 ◽

Author(s):

Yi Wang ◽

Haiwei Song ◽

Yan Zhang

Keyword(s):

Bilateral Filter ◽

Graph Cut ◽

Hyperspectral Images ◽

Spatial Classification ◽

Joint Bilateral Filter

Spectral–Spatial Classification of Hyperspectral Images Based on Hidden Markov Random Fields

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2013.2263282 ◽

2014 ◽

Vol 52 (5) ◽

pp. 2565-2574 ◽

Cited By ~ 108

Author(s):

Pedram Ghamisi ◽

Jon Atli Benediktsson ◽

Magnus Orn Ulfarsson

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Hidden Markov ◽

Hyperspectral Images ◽

Spatial Classification ◽

Markov Random

Spectral–Spatial Classification of Hyperspectral Images Using Wavelets and Extended Morphological Profiles

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2014.2308425 ◽

2014 ◽

Vol 7 (4) ◽

pp. 1177-1185 ◽

Cited By ~ 40

Author(s):

Pablo Quesada-Barriuso ◽

Francisco Arguello ◽

Dora B. Heras

Keyword(s):

Hyperspectral Images ◽

Spatial Classification