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Going Deeper with Contextual CNN for Hyperspectral Image Classification

Going Deeper with Contextual CNN for Hyperspectral Image Classification

12 April 2016
Hyungtae Lee
H. Kwon
ArXivPDFHTML

Papers citing "Going Deeper with Contextual CNN for Hyperspectral Image Classification"

34 / 34 papers shown
Title
Spatial-Geometry Enhanced 3D Dynamic Snake Convolutional Neural Network for Hyperspectral Image Classification
Spatial-Geometry Enhanced 3D Dynamic Snake Convolutional Neural Network for Hyperspectral Image Classification
Guandong Li
M. Ye
35
3
0
06 Apr 2025
A Hybrid Random Forest and CNN Framework for Tile-Wise Oil-Water Classification in Hyperspectral Images
A Hybrid Random Forest and CNN Framework for Tile-Wise Oil-Water Classification in Hyperspectral Images
Mehdi Nickzamir
Seyed Mohammad Sheikh Ahamdi Gandab
34
0
0
01 Feb 2025
Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer
Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer
Guanyiman Fu
Fengchao Xiong
Jianfeng Lu
Jun Zhou
Jiantao Zhou
Yuntao Qian
ViT
24
11
0
31 Dec 2023
Spatial-Spectral Hyperspectral Classification based on Learnable 3D
  Group Convolution
Spatial-Spectral Hyperspectral Classification based on Learnable 3D Group Convolution
Guandong Li
M. Ye
31
6
0
15 Jul 2023
Multimodal Hyperspectral Image Classification via Interconnected Fusion
Multimodal Hyperspectral Image Classification via Interconnected Fusion
Lu Huo
Jiahao Xia
Leijie Zhang
Haimin Zhang
Min Xu
30
2
0
02 Apr 2023
Objective Evaluation-based High-efficiency Learning Framework for
  Hyperspectral Image Classification
Objective Evaluation-based High-efficiency Learning Framework for Hyperspectral Image Classification
Xuming Zhang
Jian Yan
Jia Tian
Wei Li
X. Gu
Q. Tian
20
2
0
10 Jan 2023
Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image
  Classification
Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification
Mingyang Zhang
Ziqi Di
Maoguo Gong
Yue Wu
Hao Li
Xiangming Jiang
BDL
UQCV
35
0
0
14 Nov 2022
A new Stack Autoencoder: Neighbouring Sample Envelope Embedded Stack
  Autoencoder Ensemble Model
A new Stack Autoencoder: Neighbouring Sample Envelope Embedded Stack Autoencoder Ensemble Model
Chuanyan Zhou
Jie Ma
Fan Li
Yongming Li
Pin Wang
Xiaoheng Zhang
18
0
0
25 Oct 2022
Enhancing Security Patch Identification by Capturing Structures in
  Commits
Enhancing Security Patch Identification by Capturing Structures in Commits
Bozhi Wu
Shangqing Liu
Ruitao Feng
Xiaofei Xie
J. Siow
Shang-Wei Lin
30
30
0
19 Jul 2022
A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral
  Image Classification
A CNN with Noise Inclined Module and Denoise Framework for Hyperspectral Image Classification
Z. Gong
P. Zhong
Jiahao Qi
Panhe Hu
34
10
0
25 May 2022
Exploring Cross-Domain Pretrained Model for Hyperspectral Image
  Classification
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification
Hyungtae Lee
Sungmin Eum
H. Kwon
30
22
0
07 Apr 2022
Kernel Extreme Learning Machine Optimized by the Sparrow Search
  Algorithm for Hyperspectral Image Classification
Kernel Extreme Learning Machine Optimized by the Sparrow Search Algorithm for Hyperspectral Image Classification
Zhixin Yan
Jiawei Huang
Kehua Xiang
11
0
0
03 Apr 2022
Self-supervised Contrastive Learning for Cross-domain Hyperspectral
  Image Representation
Self-supervised Contrastive Learning for Cross-domain Hyperspectral Image Representation
Hyungtae Lee
H. Kwon
SSL
22
17
0
08 Feb 2022
Speedup deep learning models on GPU by taking advantage of efficient
  unstructured pruning and bit-width reduction
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction
Marcin Pietroñ
Dominik Zurek
30
13
0
28 Dec 2021
A Survey: Deep Learning for Hyperspectral Image Classification with Few
  Labeled Samples
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples
Sen Jia
Shuguo Jiang
Zhijie Lin
Nanying Li
Meng Xu
Shiqi Yu
VLM
40
275
0
03 Dec 2021
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble
  for Breast Cancer Histology Image Classification
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification
Zakaria Senousy
M. Abdelsamea
M. Gaber
Moloud Abdar
R. Acharya
Abbas Khosravi
S. Nahavandi
10
55
0
24 Aug 2021
Spectral-Spatial Global Graph Reasoning for Hyperspectral Image
  Classification
Spectral-Spatial Global Graph Reasoning for Hyperspectral Image Classification
Di Wang
Bo Du
Lefei Zhang
21
20
0
26 Jun 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
A lightweight deep learning based cloud detection method for Sentinel-2A
  imagery fusing multi-scale spectral and spatial features
A lightweight deep learning based cloud detection method for Sentinel-2A imagery fusing multi-scale spectral and spatial features
Jun Li
Zhaocong Wu
Zhongwen Hu
Canliang Jian
Shaojie Luo
Lichao Mou
Xiaoxiang Zhu
M. Molinier
28
52
0
29 Apr 2021
Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar
  Image Classification
Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar Image Classification
Shengjie Liu
Haowen Luo
Q. Shi
16
21
0
29 Jun 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
Naive Gabor Networks for Hyperspectral Image Classification
Naive Gabor Networks for Hyperspectral Image Classification
Chenying Liu
Jun Li
Lin He
Antonio J. Plaza
Shutao Li
Bo Li
37
45
0
09 Dec 2019
Optimizing CNN-based Hyperspectral Image Classification on FPGAs
Optimizing CNN-based Hyperspectral Image Classification on FPGAs
Shuanglong Liu
Ringo S. W. Chu
Xiwei Wang
Wayne Luk
13
10
0
27 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
360
0
14 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
23
466
0
24 Apr 2019
Validating Hyperspectral Image Segmentation
Validating Hyperspectral Image Segmentation
J. Nalepa
Michal Myller
M. Kawulok
13
78
0
08 Nov 2018
Deep Smoke Segmentation
Deep Smoke Segmentation
Feiniu Yuan
Lin Zhang
Xue Xia
Boyang Wan
Qinghua Huang
Xuelong Li
21
101
0
04 Sep 2018
Anchor Cascade for Efficient Face Detection
Anchor Cascade for Efficient Face Detection
B. Yu
Dacheng Tao
CVBM
43
24
0
09 May 2018
Semantic Edge Detection with Diverse Deep Supervision
Semantic Edge Detection with Diverse Deep Supervision
Yun-Hai Liu
Ming-Ming Cheng
Jiawang Bian
Le Zhang
Peng-Tao Jiang
Yang Cao
25
100
0
09 Apr 2018
Machine learning based hyperspectral image analysis: A survey
Machine learning based hyperspectral image analysis: A survey
Utsav B. Gewali
S. Monteiro
E. Saber
29
116
0
23 Feb 2018
Hydra: an Ensemble of Convolutional Neural Networks for Geospatial Land
  Classification
Hydra: an Ensemble of Convolutional Neural Networks for Geospatial Land Classification
Rodrigo Minetto
Maurício Pamplona Segundo
Sudeep Sarkar
42
132
0
10 Feb 2018
Cross-domain CNN for Hyperspectral Image Classification
Cross-domain CNN for Hyperspectral Image Classification
Hyungtae Lee
Sungmin Eum
H. Kwon
23
21
0
31 Jan 2018
Conditional Random Field and Deep Feature Learning for Hyperspectral
  Image Segmentation
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation
F. Alam
J. Zhou
Alan Wee-Chung Liew
Wenxuan Wang
Jocelyn Chanussot
Yongsheng Gao
SSeg
35
25
0
13 Nov 2017
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