TU3.RA.2

FULLY CONVOLUTIONAL NETWORK-BASED CHANGE DETECTION IN REMOTE SENSING IMAGES

Meziane Iftene, Agence Spatiale Algérienne, Algeria
Session:
TU3.RA: Change Detection Oral
Track:
Data Analysis Methods
Location:
Amphitheatre
Presentation Time:
Tue, 16 Apr, 12:15 - 12:30 Algeria Time (UTC +1)
Tue, 16 Apr, 20:15 - 20:30 Japan Time (UTC +9)
Tue, 16 Apr, 11:15 - 11:30 UTC
Tue, 16 Apr, 07:15 - 07:30 New York Time (UTC -5)
Session Chair:
Meziane Iftene, Agence Spatiale Algérienne
Presentation
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Discussion
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Session TU3.RA
TU3.RA.1: MACHINE LEARNING APPROACH TO LULC FORECASTING
Abdelkader Riche, University of Sciences and Technology Houari Boumediene, Algeria; Riccardo Ricci, Farid Melgani, University of Trento, Italy; Ammar Drias, Boularbah SOUISSI, University of Sciences and Technology Houari Boumediene, Algeria
TU3.RA.2: FULLY CONVOLUTIONAL NETWORK-BASED CHANGE DETECTION IN REMOTE SENSING IMAGES
Meziane Iftene, Agence Spatiale Algérienne, Algeria
TU3.RA.3: UNSUPERVISED CHANGE DETECTION SYSTEM USING ORB AND PRINCIPAL COMPONENT ANALYSIS FOR APPLICATION ON-BOARD EARTH OBSERVATION SATELLITES
Malika BENDOUDA, Youcef BENTOUTOU, Chafika BELAMRI, satellite developpent center, Algeria
TU3.RA.4: EDGE-ENABLED URBAN DYNAMICS: LEVERAGING RESNET AND SENTINEL-2 FOR EFFICIENT CHANGE DETECTION IN ALGERIAN URBAN LANDSCAPES
Abdelghani KABOT, ex. Namla Networks, Algeria; Imed ALLAL, Namla Networks, Algeria; Leila HAMDAD, Higher National School of Computer Science, Algeria
Resources
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