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MIMA: MAPPER-Induced Manifold Alignment for Semi-Supervised Fusion of
  Optical Image and Polarimetric SAR Data

MIMA: MAPPER-Induced Manifold Alignment for Semi-Supervised Fusion of Optical Image and Polarimetric SAR Data

13 June 2019
Jingliang Hu
Danfeng Hong
Xiaoxiang Zhu
ArXiv (abs)PDFHTML

Papers citing "MIMA: MAPPER-Induced Manifold Alignment for Semi-Supervised Fusion of Optical Image and Polarimetric SAR Data"

12 / 12 papers shown
Title
Self-supervised Learning in Remote Sensing: A Review
Self-supervised Learning in Remote Sensing: A Review
Yi Wang
C. Albrecht
Nassim Ait Ali Braham
Lichao Mou
Xiao Xiang Zhu
159
228
0
27 Jun 2022
Diffusion Transport Alignment
Diffusion Transport Alignment
Andres F. Duque
Guy Wolf
Kevin R. Moon
DiffM
43
5
0
15 Jun 2022
A Review of Landcover Classification with Very-High Resolution Remotely
  Sensed Optical Images-Analysis Unit,Model Scalability and Transferability
A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images-Analysis Unit,Model Scalability and Transferability
R. Qin
Tao Liu
89
64
0
07 Feb 2022
Evaluating Self and Semi-Supervised Methods for Remote Sensing
  Segmentation Tasks
Evaluating Self and Semi-Supervised Methods for Remote Sensing Segmentation Tasks
Chaitanya Patel
Shashank Sharma
Valerie J. Pasquarella
Varun Gulshan
SSL
50
15
0
19 Nov 2021
Single-stream CNN with Learnable Architecture for Multi-source Remote
  Sensing Data
Single-stream CNN with Learnable Architecture for Multi-source Remote Sensing Data
Yi Yang
Daoye Zhu
Tengteng Qu
Qiangyu Wang
Fuhu Ren
Chengqi Cheng
137
23
0
13 Sep 2021
Multimodal Remote Sensing Benchmark Datasets for Land Cover
  Classification with A Shared and Specific Feature Learning Model
Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model
Danfeng Hong
Jingliang Hu
Jing Yao
Jocelyn Chanussot
Xiaoxiang Zhu
58
218
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
57
0
0
02 Mar 2021
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
83
971
0
12 Aug 2020
Coupled Convolutional Neural Network with Adaptive Response Function
  Learning for Unsupervised Hyperspectral Super-Resolution
Coupled Convolutional Neural Network with Adaptive Response Function Learning for Unsupervised Hyperspectral Super-Resolution
Ke-xin Zheng
Lianru Gao
Wenzhi Liao
Danfeng Hong
Bing Zhang
X. Cui
Jocelyn Chanussot
54
151
0
28 Jul 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
96
127
0
28 Jul 2020
Spatial-Spectral Manifold Embedding of Hyperspectral Data
Spatial-Spectral Manifold Embedding of Hyperspectral Data
Danfeng Hong
Jing Yao
Xin Wu
Jocelyn Chanussot
Xiaoxiang Zhu
37
1
0
17 Jul 2020
X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for
  Classification of Remote Sensing Data
X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data
Danfeng Hong
Naoto Yokoya
Gui-Song Xia
J. Chanussot
X. Zhu
39
55
0
24 Jun 2020
1