High Efficient Deep Feature Extraction and Classification of Spectral-Spatial Hyperspectral Image Using Cross Domain Convolutional Neural Networks

Hyperspectral Image ◽

Cross Domain ◽

Deep Feature ◽

High Efficient ◽

Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2016.2584107 ◽

2016 ◽

Vol 54 (10) ◽

pp. 6232-6251 ◽

Cited By ~ 747

Author(s):

Yushi Chen ◽

Hanlu Jiang ◽

Chunyang Li ◽

Xiuping Jia ◽

Pedram Ghamisi

Keyword(s):

Neural Networks ◽

Feature Extraction ◽

Hyperspectral Images ◽

Deep Feature ◽

Supervised Deep Feature Extraction for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2017.2769673 ◽

2018 ◽

Vol 56 (4) ◽

pp. 1909-1921 ◽

Cited By ~ 67

Author(s):

Bing Liu ◽

Xuchu Yu ◽

Pengqiang Zhang ◽

Anzhu Yu ◽

Qiongying Fu ◽

...

Keyword(s):

Feature Extraction ◽

Image Classification ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Deep Feature ◽

2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) ◽

Triplet Constrained Deep Feature Extraction for Hyperspectral Image Classification

10.1109/whispers.2018.8747227 ◽

2018 ◽

Author(s):

Fahim Irfan Alam ◽

Jun Zhou ◽

Alan Wee-Chung Liew ◽

Jun Jo ◽

Yongsheng Gao

Keyword(s):

Feature Extraction ◽

Image Classification ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Deep Feature ◽

Feature Extraction and Classification of Phonocardiograms using Convolutional Neural Networks

2020 IEEE 1st International Conference for Convergence in Engineering (ICCE) ◽

10.1109/icce50343.2020.9290565 ◽

2020 ◽

Author(s):

Devjyoti Chakraborty ◽

Snehangshu Bhattacharya ◽

Ayush Thakur ◽

Aritra Roy Gosthipaty ◽

Chira Datta

Keyword(s):

Neural Networks ◽

Feature Extraction ◽

Convolutional Neural Networks

Feature extraction and classification of VHR images with attribute profiles and convolutional neural networks

Multimedia Tools and Applications ◽

10.1007/s11042-017-5331-4 ◽

2017 ◽

Vol 77 (14) ◽

pp. 18637-18656 ◽

Cited By ~ 1

Author(s):

Tian Tian ◽

Lang Gao ◽

Weijing Song ◽

Kim-Kwang Raymond Choo ◽

Jijun He

Keyword(s):

Neural Networks ◽

Feature Extraction ◽

Convolutional Neural Networks

Deep feature extraction and classification of breast ultrasound images

Multimedia Tools and Applications ◽

10.1007/s11042-020-09337-z ◽

2020 ◽

Vol 79 (37-38) ◽

pp. 27257-27292

Author(s):

Kriti ◽

Jitendra Virmani ◽

Ravinder Agarwal

Keyword(s):

Feature Extraction ◽

Breast Ultrasound ◽

Ultrasound Images ◽

Deep Feature ◽

Feature Extraction and Classification of Cataluminescence Images Based on Sparse Coding Convolutional Neural Networks

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2020.3023508 ◽

2021 ◽

Vol 70 ◽

pp. 1-11

Author(s):

Guolong Shi ◽

Yigang He ◽

Chaolong Zhang

Keyword(s):

Neural Networks ◽

Feature Extraction ◽

Sparse Coding

2020 3rd International Conference on Information and Communications Technology (ICOIACT) ◽

Classification of Diabetic Retinopathy through Deep Feature Extraction and Classic Machine Learning Approach

10.1109/icoiact50329.2020.9332082 ◽

2020 ◽

Author(s):

Radifa Hilya Paradisa ◽

Devvi Sarwinda ◽

Alhadi Bustamam ◽

Terry Argyadiva

Keyword(s):

Machine Learning ◽

Feature Extraction ◽

Diabetic Retinopathy ◽

Learning Approach ◽

Deep Feature ◽

Machine Learning Approach ◽

Deep Feature Extraction Based on Siamese Network and Auto-Encoder for Hyperspectral Image Classification

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2019.8899230 ◽

2019 ◽

Author(s):

Jiajia Miao ◽

Bin Wang ◽

Xiaofeng Wu ◽

Liming Zhang ◽

Bo Hu ◽

...

Keyword(s):

Feature Extraction ◽

Image Classification ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Siamese Network ◽

Deep Feature ◽

Cross-domain intelligent fault classification of bearings based on tensor-aligned invariant subspace learning and two-dimensional convolutional neural networks

Knowledge-Based Systems ◽

10.1016/j.knosys.2020.106214 ◽

2020 ◽

Vol 209 ◽

pp. 106214

Author(s):

Chaofan Hu ◽

Yanxue Wang ◽

Jiawei Gu

Keyword(s):

Neural Networks ◽

Invariant Subspace ◽

Subspace Learning ◽

Fault Classification ◽

Two Dimensional ◽

Cross Domain