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Cascaded Recurrent Neural Networks for Hyperspectral Image
  Classification

Cascaded Recurrent Neural Networks for Hyperspectral Image Classification

28 February 2019
Renlong Hang
Qingshan Liu
Danfeng Hong
Pedram Ghamisi
ArXivPDFHTML

Papers citing "Cascaded Recurrent Neural Networks for Hyperspectral Image Classification"

40 / 40 papers shown
Title
HyperspectralMAE: The Hyperspectral Imagery Classification Model using Fourier-Encoded Dual-Branch Masked Autoencoder
HyperspectralMAE: The Hyperspectral Imagery Classification Model using Fourier-Encoded Dual-Branch Masked Autoencoder
Wooyoung Jeong
Hyun Jae Park
Seonghun Jeong
Jong Wook Jang
Tae Hoon Lim
Dae Seoung Kim
29
0
0
09 May 2025
CARL: Camera-Agnostic Representation Learning for Spectral Image Analysis
CARL: Camera-Agnostic Representation Learning for Spectral Image Analysis
Alexander Baumann
Leonardo Ayala
Shri Kiran Srinivasan
Jan Sellner
Alexander Studier-Fischer
Berkin Özdemir
Lena Maier-Hein
Slobodan Ilic
51
0
0
27 Apr 2025
AI-Driven HSI: Multimodality, Fusion, Challenges, and the Deep Learning Revolution
AI-Driven HSI: Multimodality, Fusion, Challenges, and the Deep Learning Revolution
David S. Bhatti
Yougin Choi
Rahman S M Wahidur
Maleeka Bakhtawar
Sumin Kim
Surin Lee
Yongtae Lee
Heung-No Lee
72
2
0
09 Feb 2025
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model
Di Wang
Meiqi Hu
Yao Jin
Yuchun Miao
Jiaqi Yang
...
Lefei Zhang
Chen Wu
Bo Du
Dacheng Tao
Liangpei Zhang
66
25
0
17 Jun 2024
Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model
  for Hyperspectral Image Classification
Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classification
Weilian Zhou
Sei-ichiro Kamata
Haipeng Wang
Man-Sing Wong
Huiying
H. Hou
Mamba
27
30
0
20 May 2024
Class Prior-Free Positive-Unlabeled Learning with Taylor Variational
  Loss for Hyperspectral Remote Sensing Imagery
Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery
Hengwei Zhao
Xinyu Wang
Jingtao Li
Yanfei Zhong
37
9
0
29 Aug 2023
One-Class Risk Estimation for One-Class Hyperspectral Image
  Classification
One-Class Risk Estimation for One-Class Hyperspectral Image Classification
Hengwei Zhao
Yanfei Zhong
Xinyu Wang
H. Shu
29
8
0
27 Oct 2022
A3CLNN: Spatial, Spectral and Multiscale Attention ConvLSTM Neural
  Network for Multisource Remote Sensing Data Classification
A3CLNN: Spatial, Spectral and Multiscale Attention ConvLSTM Neural Network for Multisource Remote Sensing Data Classification
Hengchao Li
Wen-Shuai Hu
Wei Li
Jun Li
Q. Du
Antonio J. Plaza
31
96
0
09 Apr 2022
Deep Learning for UAV-based Object Detection and Tracking: A Survey
Deep Learning for UAV-based Object Detection and Tracking: A Survey
Chao Xu
Wei Li
Danfeng Hong
R. Tao
Yong Liu
29
181
0
25 Oct 2021
SpectralFormer: Rethinking Hyperspectral Image Classification with
  Transformers
SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers
Danfeng Hong
Zhu Han
Jing Yao
Lianru Gao
Bing Zhang
Antonio J. Plaza
Jocelyn Chanussot
ViT
34
867
0
07 Jul 2021
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient
  and Imbalanced Hyperspectral Image Classification
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification
Qiqi Zhu
Weihuan Deng
Zhuo Zheng
Yanfei Zhong
Qingfeng Guan
Weihua Lin
Liangpei Zhang
Deren Li
24
120
0
29 May 2021
Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning
  Framework for Self-Supervised Hyperspectral Unmixing
Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing
Danfeng Hong
Lianru Gao
Jing Yao
Naoto Yokoya
Jocelyn Chanussot
U. Heiden
Bing Zhang
21
159
0
21 May 2021
Interpretable Hyperspectral AI: When Non-Convex Modeling meets
  Hyperspectral Remote Sensing
Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing
Danfeng Hong
Wei He
Naoto Yokoya
Jing Yao
Lianru Gao
Liangpei Zhang
Jocelyn Chanussot
Xiaoxiang Zhu
41
0
0
02 Mar 2021
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End
  Hyperspectral Image Classification
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification
Zhuo Zheng
Yanfei Zhong
A. Ma
Liangpei Zhang
27
180
0
11 Nov 2020
Hyperspectral Anomaly Change Detection Based on Auto-encoder
Hyperspectral Anomaly Change Detection Based on Auto-encoder
Meiqi Hu
Chen Wu
Liangpei Zhang
Bo Du
16
1
0
27 Oct 2020
Fusion of Dual Spatial Information for Hyperspectral Image
  Classification
Fusion of Dual Spatial Information for Hyperspectral Image Classification
Puhong Duan
Pedram Ghamisi
Xudong Kang
Behnood Rasti
Shutao Li
R. Gloaguen
20
101
0
23 Oct 2020
Unsupervised Feature Learning by Autoencoder and Prototypical
  Contrastive Learning for Hyperspectral Classification
Unsupervised Feature Learning by Autoencoder and Prototypical Contrastive Learning for Hyperspectral Classification
Zeyu Cao
Xiaorun Li
Liaoying Zhao
SSL
13
30
0
02 Sep 2020
More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing
  Imagery Classification
More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification
Danfeng Hong
Lianru Gao
Naoto Yokoya
Jing Yao
Jocelyn Chanussot
Q. Du
Bing Zhang
46
951
0
12 Aug 2020
Graph Convolutional Networks for Hyperspectral Image Classification
Graph Convolutional Networks for Hyperspectral Image Classification
Danfeng Hong
Lianru Gao
Jing Yao
Bing Zhang
Antonio J. Plaza
Jocelyn Chanussot
21
1,094
0
06 Aug 2020
Spectral Superresolution of Multispectral Imagery with Joint Sparse and
  Low-Rank Learning
Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning
Lianru Gao
Danfeng Hong
Jing Yao
Bing Zhang
Paolo Gamba
Jocelyn Chanussot
64
125
0
28 Jul 2020
The color out of space: learning self-supervised representations for
  Earth Observation imagery
The color out of space: learning self-supervised representations for Earth Observation imagery
Stefano Vincenzi
Angelo Porrello
Pietro Buzzega
Marco Cipriano
Pietro Fronte
Roberto Cuccu
C. Ippoliti
A. Conte
Simone Calderara
SSL
18
63
0
22 Jun 2020
Hyperspectral Image Classification with Attention Aided CNNs
Hyperspectral Image Classification with Attention Aided CNNs
Renlong Hang
Zhu Li
Qingshan Liu
Pedram Ghamisi
Shuvra S. Bhattacharyya
14
225
0
25 May 2020
Learning Convolutional Sparse Coding on Complex Domain for
  Interferometric Phase Restoration
Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration
Jian Kang
Danfeng Hong
Jialin Liu
Gerald Baier
Naoto Yokoya
Begüm Demir
42
50
0
06 Mar 2020
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs
Renlong Hang
Zhu Li
Pedram Ghamisi
Danfeng Hong
Guiyu Xia
Qingshan Liu
13
260
0
04 Feb 2020
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image
  Classification
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification
Z. Gong
P. Zhong
Weidong Hu
16
49
0
28 Dec 2019
Deep Manifold Embedding for Hyperspectral Image Classification
Deep Manifold Embedding for Hyperspectral Image Classification
Z. Gong
Weidong Hu
Xiaoyong Du
P. Zhong
Panhe Hu
29
27
0
24 Dec 2019
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature
  Extractor for Hyperspectral Image Classification
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification
Danfeng Hong
Xin Wu
Pedram Ghamisi
Jocelyn Chanussot
Naoto Yokoya
Xiaoxiang Zhu
16
230
0
18 Dec 2019
Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral
  Image Classification
Row-Sparse Discriminative Deep Dictionary Learning for Hyperspectral Image Classification
Vanika Singhal
A. Majumdar
18
14
0
11 Dec 2019
Unsupervised Segmentation of Hyperspectral Images Using 3D Convolutional
  Autoencoders
Unsupervised Segmentation of Hyperspectral Images Using 3D Convolutional Autoencoders
J. Nalepa
Michal Myller
Y. Imai
K. Honda
T. Takeda
Marek Antoniak
3DPC
13
58
0
20 Jul 2019
Remote Sensor Design for Visual Recognition with Convolutional Neural
  Networks
Remote Sensor Design for Visual Recognition with Convolutional Neural Networks
Lucas Jaffe
M. Zelinski
W. Sakla
19
14
0
24 Jun 2019
Pixel DAG-Recurrent Neural Network for Spectral-Spatial Hyperspectral
  Image Classification
Pixel DAG-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification
Xiufang Li
Qigong Sun
Lingling Li
Zhongle Ren
Fang Liu
L. Jiao
30
3
0
09 Jun 2019
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image
  Classification
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification
Sheng Wan
Chen Gong
P. Zhong
Bo Du
Lefei Zhang
Jian Yang
24
359
0
14 May 2019
Spatial-Spectral Feature Extraction via Deep ConvLSTM Neural Networks
  for Hyperspectral Image Classification
Spatial-Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification
Wen-Shuai Hu
Hengchao Li
Lei Pan
Wei Li
R. Tao
Q. Du
27
150
0
09 May 2019
Deep Learning for Classification of Hyperspectral Data: A Comparative
  Review
Deep Learning for Classification of Hyperspectral Data: A Comparative Review
Nicolas Audebert
Bertrand Le Saux
Sébastien Lefèvre
20
463
0
24 Apr 2019
A Deep Recurrent Q Network towards Self-adapting Distributed
  Microservices architecture
A Deep Recurrent Q Network towards Self-adapting Distributed Microservices architecture
Basel Magableh
29
15
0
13 Jan 2019
Validating Hyperspectral Image Segmentation
Validating Hyperspectral Image Segmentation
J. Nalepa
Michal Myller
M. Kawulok
13
78
0
08 Nov 2018
Recurrently Exploring Class-wise Attention in A Hybrid Convolutional and
  Bidirectional LSTM Network for Multi-label Aerial Image Classification
Recurrently Exploring Class-wise Attention in A Hybrid Convolutional and Bidirectional LSTM Network for Multi-label Aerial Image Classification
Yuansheng Hua
Lichao Mou
Xiaoxiang Zhu
25
145
0
30 Jul 2018
Building Instance Classification Using Street View Images
Building Instance Classification Using Street View Images
Jian Kang
Marco Körner
Yuanyuan Wang
H. Taubenböck
Xiaoxiang Zhu
18
295
0
25 Feb 2018
A CNN-based Spatial Feature Fusion Algorithm for Hyperspectral Imagery
  Classification
A CNN-based Spatial Feature Fusion Algorithm for Hyperspectral Imagery Classification
Alan J. X. Guo
Fei Zhu
16
36
0
31 Jan 2018
Hyperspectral Image Classification with Markov Random Fields and a
  Convolutional Neural Network
Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network
Xiangyong Cao
Feng Zhou
Lin Xu
Deyu Meng
Zongben Xu
J. Paisley
21
249
0
01 May 2017
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