TU1.R10: Change Detection Techniques in Optical Images |
Session Type: Oral
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Time: Tuesday, July 24, 08:30 - 10:10
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Location: Room 2G-2H
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Session Chairs: Francesca Bovolo, Fondazione Bruno Kessler and Sicong Liu, Tongji University
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08:30 - 08:50 |
TU1.R10.1: UNSUPERVISED MULTIPLE-CHANGE DETECTION IN VHR OPTICAL IMAGES USING DEEP FEATURES
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Sudipan Saha; University of Trento and Fondazione Bruno Kessler |
Francesca Bovolo; Fondazione Bruno Kessler |
Lorenzo Bruzzone; University of Trento |
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08:50 - 09:10 |
TU1.R10.2: STACKED AUTOENCODERS FOR MULTICLASS CHANGE DETECTION IN HYPERSPECTRAL IMAGES
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Javier López-Fandiño; Universidade de Santiago de Compostela, Santiago de Compostela |
Alberto S. Garea; Universidade de Santiago de Compostela, Santiago de Compostela |
Dora B. Heras; Universidade de Santiago de Compostela, Santiago de Compostela |
Francisco Argüello; Universidade de Santiago de Compostela, Santiago de Compostela |
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09:10 - 09:30 |
TU1.R10.3: UNSUPERVISED MULTI-CLASS CHANGE DETECTION IN BITEMPORAL MULTISPECTRAL IMAGES USING BAND EXPANSION
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Sicong Liu; Tongji University |
Qian Du; Tongji University |
Lorenzo Bruzzone; University of Trento |
Alim Samat; Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences |
Xiaohua Tong; Tongji University |
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09:30 - 09:50 |
TU1.R10.4: CHANGE DETECTION IN OPTICAL REMOTE SENSING IMAGES WITH A FULLY OBJECT-LEVEL APPROACH
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Long Ma; Zhengzhou University |
Zhihong Mai; Beijing Institute of Technology |
He Chen; Beijing Institute of Technology |
Wenchao Liu; Beijing Institute of Technology |
Fan Feng; Beijing Institute of Technology |
Guichi Liu; Zhengzhou University |
Nouman Qadeer Soomro; Mehran University of Engineering and Technology |
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09:50 - 10:10 |
TU1.R10.5: LEARNING DEEP RELATIONSHIP FOR IMAGE CHANGE DETECTION
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Chunlei Huo; Institute of Automation, Chinese Academy of Sciences |
Yushuang Zhang; Institute of Automation, Chinese Academy of Sciences |
Jiayuan Yu; Beijing University of Civil Engineering and Architecture |
Yunpeng Jing; Beijing Information Science and Technology University |
Chunhong Pan; Institute of Automation, Chinese Academy of Sciences |
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