OPTIMAL TRANSPORT FOR DATA FUSION IN REMOTE SENSING

被引：10

作者：

Courty, Nicolas ^{[1
]}

Flamary, Remi ^{[2
]}

Tuia, Devis ^{[3
]}

Corpetti, Thomas ^{[4
]}

机构：

[1] Univ Bretagne Sud, IRISA, Vannes, France

[2] UNS, OCA, CNRS, Lagrange, Nice, France

[3] Univ Zurich, MMRS, Zurich, Switzerland

[4] CNRS, LETG, Rennes, France

来源：

2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2016年

基金：

瑞士国家科学基金会;

关键词：

Optimal transport; domain adaptation; time series analysis; change detection; LIDAR;

D O I：

10.1109/IGARSS.2016.7729925

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

One of the main objective of data fusion is the integration of several acquisition of the same physical object, in order to build a new consistent representation that embeds all the information from the different modalities. In this paper, we propose the use of optimal transport theory as a powerful mean of establishing correspondences between the modalities. After reviewing important properties and computational aspects, we showcase its application to three remote sensing fusion problems: domain adaptation, time series averaging and change detection in LIDAR data.

引用

页码：3571 / 3574

页数：4

共 20 条

[1] ITERATIVE BREGMAN PROJECTIONS FOR REGULARIZED TRANSPORTATION PROBLEMS
Benamou, Jean-David
Carlier, Guillaume
Cuturi, Marco
Nenna, Luca
Peyre, Gabriel
[J]. SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2015, 37 (02) : A1111 - A1138
[2] Bonneel N., 2014, J MATH IMAG IN PRESS
[3] Displacement Interpolation Using Lagrangian Mass Transport
Bonneel, Nicolas
van de Panne, Michiel
Paris, Sylvain
Heidrich, Wolfgang
[J]. ACM TRANSACTIONS ON GRAPHICS, 2011, 30 (06):
[4] Camps-Valls G, 2014, IEEE SIGNAL PROC MAG, V31, P45, DOI 10.1109/MSP.2013.2279179
[5] Courty N., 2014, P ECML
[6] Cuturi M., 2015, SIAM J IMAGING S DEC
[7] Cuturi M., 2013, ADV NEURAL INFORM PR, V2, P4, DOI DOI 10.48550/ARXIV.1306.0895
[8] Cuturi M., 2014, P ICML JUN
[9] Ferradans S., 2014, SIAM J IMAGING SCI, V7
[10] Multimodal Classification of Remote Sensing Images: A Review and Future Directions
Gomez-Chova, Luis
Tuia, Devis
Moser, Gabriele
Camps-Valls, Gustau
[J]. PROCEEDINGS OF THE IEEE, 2015, 103 (09) : 1560 - 1584

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