International Geoscience and
Remote Sensing Symposium
Theme Tag Line
WEP.P14.1
3XA: FULLY AUTOMATED AND UNSUPERVISED DEEP LEARNING ALGORITHM FOR CHANGE DETECTION IN URBAN, COASTAL AND COUNTRYSIDE CONTEXTS USING COSMO-SKYMED SAR IMAGERY
Michele Boella, Emanuele Giorgi, Ilaria Pennino, Francesco Delogu, Lorenzo Manunza, NeMeA Sistemi srl, Italy
Session:
WEP.P14: Semantic Analysis of SAR and Radar Data Poster
Track:
AI and Big Data
Location:
Poster Area 14
Presentation Time:
Wed, 19 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
Session Chair:
Ryo Natsuaki, The University of Tokyo
Session Managers:
Ge Jiang and HUMAIRA SANAM and Ayoti Banerjee and Srashti Singh