TU1.R6.6

HYPERSPECTRAL IMAGE CLASSIFICATION USING FISHER’S LINEAR DISCRIMINANT ANALYSIS FEATURE REDUCTION WITH GABOR FILTERING AND CNN

Meilun Zhou, Sathishkumar Samiappan, Ethan Worch, John E. Ball, Mississippi State University, United States

Session:
Advanced Learning Methods for Hyperspectral Classification

Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

Presentation Time:
Tue, 29 Sep, 12:50-13:00 (UTC)
Tue, 29 Sep, 20:50-21:00 China Standard Time (UTC +8)
Tue, 29 Sep, 14:50-15:00 Central Europe Summer Time (UTC +2)
Tue, 29 Sep, 05:50-06:00 Pacific Daylight Time (UTC -7)

Session Co-Chairs:
Licheng Jiao, Xidian University and Danfeng Hong, DLR
Session Managers:
Iman Heidarpour Shahrezaei and Na Liu

Presentation

Not logged in.

Discussion

Not logged in.

Resources

Not logged in.

Session

TU1.R6.2: HYPERSPECTRAL CLASSIFICATION USING LOW RANK AND SPARSITY MATRICES DECOMPOSITION
Hongju Cao, Xiaodi Shang, Chunyan Yu, Meiping Song, Chein-I Chang, Dalian Maritime University, China
TU1.R6.3: MULTIFRACTAL PARAMETERS FOR CLASSIFICATION OF HYPERSPECTRAL DATA
Michał Krupiński, Anna Wawrzaszek, Centrum Badań Kosmicznych Polskiej Akademii Nauk, Poland; Wojciech Drzewiecki, AGH University of Science and Technology, Poland; Małgorzata Jenerowicz, Sebastian Aleksandrowicz, Centrum Badań Kosmicznych Polskiej Akademii Nauk, Poland
TU1.R6.4: Spectral-spatial feature extraction based CNN for hyperspectral image classification
Yinghui Quan, Shuxian Dong, Wei Feng, School of Electronic Engineering, Xidian University, China; Gabriel Dauphin, L2TI, Institut Galilée, University Paris XIII, France; Guoping Zhao, Shaan Xi Academy of Forestry, China; Yong Wang, School of Electronic Engineering, Xidian University, China; Mengdao Xing, Xidian University, China
TU1.R6.5: Feature separation based rotation forest for hyperspectral image classification
Wei Feng, Yinghui Quan, School of Electronic Engineering, Xidian University, China; Gabriel Dauphin, L2TI, Institut Galilée, University Paris XIII, France; Puxia Wu, Shaanxi Academy of Forestry, China; Bowen Bie, School of Electronic Engineering, Xidian University, China; Yingping Tong, Xiaoguang Yuan, Jing Li, Mengdao Xing, Xidian University, China
TU1.R6.6: HYPERSPECTRAL IMAGE CLASSIFICATION USING FISHER’S LINEAR DISCRIMINANT ANALYSIS FEATURE REDUCTION WITH GABOR FILTERING AND CNN
Meilun Zhou, Sathishkumar Samiappan, Ethan Worch, John E. Ball, Mississippi State University, United States
TU1.R6.7: A NEW HYPERSPECTRAL CLASSIFICATION METHOD BASED ON NON-SUBSAMPLED CONTOURLET TRANSFORM (NSCT) AND DEEP NEURAL NETWORK
Jing Bai, Wentao Yu, Huaji Zhou, Xidian University, China; Zhu Xiao, Hunan University, China; Yonggang Wang, Xidian University, China
TU1.R6.8: Deep Self-supervised Learning for Few-Shot Hyperspectral Image Classification.
Yu Li, Lei Zhang, Wei Wei, Yanning Zhang, Northwestern Polytechnical University, China
TU1.R6.9: DECOUPLED NETWORK WITH ACTIVE LEARNING STRATEGY FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Jing Bai, Anran Yuan, Wentao Yu, Xidian University, China; Dingchen Wang, Xi'an Jiaotong University, China; Fan Zhang, Xidian University, China
TU1.R6.10: PARTICLE SWARM OPTIMIZATION BASED DEEP LEARNING ARCHITECTURE SEARCH FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Chaochao Zhang, Xiaobo Liu, Guangjun Wang, Zhihua Cai, China University of Geosciences, China
TU1.R6.11: SPECTRAL-SPATIAL CLASSIFICATION OF HYPERSPECTRAL IMAGE USING PCA AND GABOR FILTERING
Qingyu Yan, Junping Zhang, Jia Feng, Harbin Institute of Technology, China
TU1.R6.12: MULTI-GPU PARALLEL IMPLEMENTATION OF SPATIAL-SPECTRAL KERNEL SPARSE REPRESENTATION FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Weishi Deng, Zebin Wu, Nanjing University of Science and Technology, China; Haoyang Ma, Nanjing University of Posts and Telecommunications, China; Qicong Wang, Jin Sun, Yang Xu, Nanjing University of Science and Technology, China; Jiandong Yang, China Satellite Maritime Tracking and Control Department, China; Zhihui Wei, Hongyi Liu, Nanjing University of Science and Technology, China