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A Self-Improving Convolution Neural Network for the Classification of Hyperspectral Data.

P. Ghamisi, Y. Chen, and X. Zhu. IEEE Geosci. Remote. Sens. Lett., 13 (10): 1537-1541 (2016)

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Pedram Derakhshani

Pedram Emami

Pedram Azad

Pedram Yazdanbakhsh

Pedram Hovareshti

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A Machine Learning Technique for Drill Core Hyperspectral Data Analysis.C. Contreras, M. Khodadadzadeh, L. Tusa, P. Ghamisi, and R. Gloaguen. WHISPERS, page 1-5. IEEE, (2018)LiDAR Data Classification Using Morphological Profiles and Convolutional Neural Networks.A. Wang, X. He, P. Ghamisi, and Y. Chen. IEEE Geosci. Remote. Sens. Lett., 15 (5): 774-778 (2018)Hyperspectral Image Classification with Attention Aided CNNs.R. Hang, Z. Li, Q. Liu, P. Ghamisi, and S. Bhattacharyya. CoRR, (2020)A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks.H. Li, P. Ghamisi, B. Rasti, Z. Wu, A. Shapiro, M. Schultz, and A. Zipf. Remote. Sens., 12 (12): 2067 (2020)Hyperspectral and LiDAR Fusion Using Extinction Profiles and Total Variation Component Analysis.B. Rasti, P. Ghamisi, and R. Gloaguen. IEEE Trans. Geosci. Remote. Sens., 55 (7): 3997-4007 (2017)Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks.Y. Chen, H. Jiang, C. Li, X. Jia, and P. Ghamisi. IEEE Trans. Geosci. Remote. Sens., 54 (10): 6232-6251 (2016)Fusion of Multiple Edge-Preserving Operations for Hyperspectral Image Classification.P. Duan, X. Kang, S. Li, P. Ghamisi, and J. Benediktsson. IEEE Trans. Geosci. Remote. Sens., 57 (12): 10336-10349 (2019)IMG2DSM: Height Simulation From Single Imagery Using Conditional Generative Adversarial Net.P. Ghamisi, and N. Yokoya. IEEE Geosci. Remote. Sens. Lett., 15 (5): 794-798 (2018)An efficient method for segmentation of images based on fractional calculus and natural selection.P. Ghamisi, M. Couceiro, J. Benediktsson, and N. Ferreira. Expert Syst. Appl., 39 (16): 12407-12417 (2012)Feature Extraction and Selection of Sentinel-1 Dual-Pol Data for Global-Scale Local Climate Zone Classification.J. Hu, P. Ghamisi, and X. Zhu. ISPRS Int. J. Geo Inf., 7 (9): 379 (2018)

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Disambiguation of "Ghamisi, Pedram"

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A Self-Improving Convolution Neural Network for the Classification of Hyperspectral Data.

Please choose a person to relate this publication to

Pedram Derakhshani

Pedram Emami

Pedram Azad

Pedram Yazdanbakhsh

Pedram Hovareshti

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ghamisi, Pedram"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Self-Improving Convolution Neural Network for the Classification of Hyperspectral Data.

Please choose a person to relate this publication to

Pedram Derakhshani

Pedram Emami

Pedram Azad

Pedram Yazdanbakhsh

Pedram Hovareshti

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A Self-Improving Convolution Neural Network for the Classification of Hyperspectral Data.