International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

WE1.O-5.5

ROBUST DEEP METRIC LEARNING FOR REMOTE SENSING IMAGES WITH NOISY ANNOTATIONS

Jian Kang, School of Electronic and Information Engineering, Soochow University, China; Ruben Fernandez-Beltran, Institute of New Imaging Technologies, University Jaume I, China; Puhong Duan, Xudong Kang, College of Electrical and Information Engineering, Hunan University, China; Antonio Plaza, Hyperspectral Computing Laboratory, University of Extremadura, China

Session:
Deep Learning for Semantic Segmentation and Image Classification I

Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

Presentation Time:
Wed, 14 Jul, 09:30-09:45 (UTC)
Wed, 14 Jul, 11:30-11:45 Central Europe Summer Time (UTC +2)
Wed, 14 Jul, 17:30-17:45 China Standard Time (UTC +8)
Wed, 14 Jul, 05:30-05:45 Eastern Daylight Time (UTC -4)

Session Co-Chairs:
Juan M. Haut, Spanish University for Distance Education, UNED and Romain Thoreau, ONERA / Magellium
Session Manager:
Frederik Priem
Presentation
Discussion
Resources
Session WE1.O-5
WE1.O-5.1: BAYESIAN DEEP LEARNING WITH MONTE CARLO DROPOUT FOR QUALIFICATION OF SEMANTIC SEGMENTATION
Clément Dechesne, Pierre Lassalle, CNES, France; Sébastien Lefèvre, Université Bretagne Sud / IRISA, France
WE1.O-5.2: Adapting kernels for hyperspectral image classification
Juan M. Haut, Spanish University for Distance Education, UNED, Spain; Mercedes E. Paoletti, University of Malaga, Spain; Rafael Pastor-Vargas, Llanos Tobarra, Antonio Robles-Gomez, Roberto Hernández, Spanish University for Distance Education, UNED, Spain; Eligious M.T. Hendrix, University of Malaga, Spain; Jun Li, Sun Yat-Sen University, China
WE1.O-5.3: HYPERSPECTRAL CLASSIFICATION BASED ON SPECTRAL INDICES LEARNED THROUGH SOFT ATTENTION UNITS
Romain Thoreau, ONERA / Magellium, France; Véronique Achard, Xavier Briottet, ONERA, France
WE1.O-5.4: Multiple incremental kernel convolution for land cover classification of remotely sensed images
Xuanwen Tao, Lirong Han, Mercedes E. Paoletti, University of Extremadura, Spain; S. K. Roy, Jalpaiguri Govt. Engineering College, India; Javier Plaza, University of Extremadura, Spain; Juan M. Haut, National Distance Education University, UNED, Spain; Antonio Plaza, University of Extremadura, Spain
WE1.O-5.5: ROBUST DEEP METRIC LEARNING FOR REMOTE SENSING IMAGES WITH NOISY ANNOTATIONS
Jian Kang, School of Electronic and Information Engineering, Soochow University, China; Ruben Fernandez-Beltran, Institute of New Imaging Technologies, University Jaume I, China; Puhong Duan, Xudong Kang, College of Electrical and Information Engineering, Hunan University, China; Antonio Plaza, Hyperspectral Computing Laboratory, University of Extremadura, China
WE1.O-5.6: Monitoring threatened Irish habitats using Multi-temporal Muti-spectral aerial imagery and Convolutional Neural Networks
Sara Perez-Carabaza, Oisin Boydell, University College Dublin, Ireland; Jerome O'Connell, ProvEye, Ireland