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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
ArXivPDFHTML

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

10 / 10 papers shown
Title
Semisupervised Manifold Alignment of Multimodal Remote Sensing Images
Semisupervised Manifold Alignment of Multimodal Remote Sensing Images
D. Tuia
Michele Volpi
M. Trolliet
Gustau Camps-Valls
17
139
0
15 Apr 2021
Multi-temporal and multi-source remote sensing image classification by
  nonlinear relative normalization
Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization
D. Tuia
Diego Marcos
Gustau Camps-Valls
9
60
0
07 Dec 2020
Cascaded Recurrent Neural Networks for Hyperspectral Image
  Classification
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification
Renlong Hang
Qingshan Liu
Danfeng Hong
Pedram Ghamisi
23
631
0
28 Feb 2019
ORSIm Detector: A Novel Object Detection Framework in Optical Remote
  Sensing Imagery Using Spatial-Frequency Channel Features
ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features
Xin Wu
Danfeng Hong
Jiaojiao Tian
Jocelyn Chanussot
Wei Li
R. Tao
ObjD
20
187
0
23 Jan 2019
Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality
  Learning Framework for Land Cover and Land Use Classification
Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification
Danfeng Hong
Naoto Yokoya
N. Ge
Jocelyn Chanussot
Xiaoxiang Zhu
31
215
0
09 Jan 2019
CoSpace: Common Subspace Learning from Hyperspectral-Multispectral
  Correspondences
CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences
Danfeng Hong
Naoto Yokoya
Jocelyn Chanussot
Xiaoxiang Zhu
30
195
0
30 Dec 2018
An Augmented Linear Mixing Model to Address Spectral Variability for
  Hyperspectral Unmixing
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing
Danfeng Hong
Naoto Yokoya
Jocelyn Chanussot
Xiaoxiang Zhu
17
708
0
29 Oct 2018
Joint & Progressive Learning from High-Dimensional Data for Multi-Label
  Classification
Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification
Danfeng Hong
Naoto Yokoya
Jian Xu
Xiaoxiang Zhu
14
42
0
15 Aug 2018
Identifying Corresponding Patches in SAR and Optical Images with a
  Pseudo-Siamese CNN
Identifying Corresponding Patches in SAR and Optical Images with a Pseudo-Siamese CNN
Lloyd H. Hughes
M. Schmitt
Lichao Mou
Yuanyuan Wang
Xiaoxiang Zhu
15
179
0
25 Jan 2018
An introduction to Topological Data Analysis: fundamental and practical
  aspects for data scientists
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
Frédéric Chazal
Bertrand Michel
76
589
0
11 Oct 2017
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