Author of the publication

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

Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification.

K. Zhu, Y. Chen, P. Ghamisi, X. Jia, and J. Benediktsson. Remote Sensing, 11 (3): 223 (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Jón Jónasson

Jón Guðnason

Jón Gislason

Jón Geirsson

Ellen Benediktsson

Other publications of authors with the same name

Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification.K. Zhu, Y. Chen, P. Ghamisi, X. Jia, and J. Benediktsson. Remote Sensing, 11 (3): 223 (2019)Automatic retinal vessel extraction based on directional mathematical morphology and fuzzy classificationE. Sigurðsson, S. Valero, J. Benediktsson, J. Chanussot, H. Talbot, and E. Stefánsson. Pattern Recognition Letters, (2014)A Semi-Supervised Approach Towards Land Cover Mapping with Sentinel-2 Desnse Time-Series Imagery.T. Hu, X. Huang, J. Li, J. Benediktsson, J. Yang, and J. Gong. IGARSS, page 2423-2426. IEEE, (2019)Parallel consensual neural networks.J. Benediktsson, J. Sveinsson, O. Ersoy, and P. Swain. ICNN, page 27-32. IEEE, (1993)Simple Multiscale UNet for Change Detection With Heterogeneous Remote Sensing Images.Z. Lv, H. Huang, L. Gao, J. Benediktsson, M. Zhao, and C. Shi. IEEE Geosci. Remote. Sens. Lett., (2022)Challenges and Opportunities of Multimodality and Data Fusion in Remote Sensing.M. Mura, S. Prasad, F. Pacifici, P. Gamba, J. Chanussot, and J. Benediktsson. Proc. IEEE, 103 (9): 1585-1601 (2015)Classifying Remote Sensing Data with Support Vector Machines and Imbalanced Training Data.B. Waske, J. Benediktsson, and J. Sveinsson. MCS, volume 5519 of Lecture Notes in Computer Science, page 375-384. Springer, (2009)Foreword to the Special Issue on Big Data in Remote Sensing.M. Chi, A. Plaza, J. Benediktsson, B. Zhang, and B. Huang. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 8 (10): 4607-4609 (2015)Joint bilateral filtering and spectral similarity-based sparse representation: A generic framework for effective feature extraction and data classification in hyperspectral imaging.T. Qiao, Z. Yang, J. Ren, P. Yuen, H. Zhao, G. Sun, S. Marshall, and J. Benediktsson. Pattern Recognit., (2018)Detection and Correction of Mislabeled Training Samples for Hyperspectral Image Classification.X. Kang, P. Duan, X. Xiang, S. Li, and J. Benediktsson. IEEE Trans. Geosci. Remote. Sens., 56 (10): 5673-5686 (2018)

BibSonomy

Disambiguation of "Benediktsson, Jón Atli"

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

Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification.

Please choose a person to relate this publication to

Jón Jónasson

Jón Guðnason

Jón Gislason

Jón Geirsson

Ellen Benediktsson

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Benediktsson, Jón Atli"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification.

Please choose a person to relate this publication to

Jón Jónasson

Jón Guðnason

Jón Gislason

Jón Geirsson

Ellen Benediktsson

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

Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification.