IEEE IGARSS 2021 || Brussels, Belgium || July 12–14, 2021 • Physical

TH4.O-5: Innovative Approaches for Change Detection and Multi-temporal Analysis

Thu, 15 Jul, 14:40 - 16:10 (UTC)
Thu, 15 Jul, 16:40 - 18:10 Central Europe Summer Time (UTC +2)
Thu, 15 Jul, 22:40 - 00:10 China Standard Time (UTC +8)
Thu, 15 Jul, 10:40 - 12:10 Eastern Daylight Time (UTC -4)

Session Co-Chairs: Igor Yanovsky, Jet Propulsion Laboratory and Eiji Kaneko, NEC corporation

Session Manager: Willeke A'Campo

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

TH4.O-5.1: CAPTIONING CHANGES IN BI-TEMPORAL REMOTE SENSING IMAGES

Seloua Chouaf, University of Sciences and Technology Houari Boumediene, Algeria; Genc Hoxha, University of Trento, Italy; Youcef Smara, University of Sciences and Technology Houari Boumediene, Algeria; Farid Melgani, University of Trento, Italy

TH4.O-5.2: BLUE NOISE SAMPLING AND NYSTRÖM EXTENSION FOR GRAPH BASED CHANGE DETECTION

David Alejandro Jimenez Sierra, Hernan Darío Benitez Restrepo, Universidad Pontificia Javeria, Colombia; Gonzalo R. Arce, Juan Felipe Flórez Ospina, University of Delaware, United States

TH4.O-5.3: Wildfire Detection Using Streaming Satellite Imagery

Steven Xu, Seunghyun Kong, Zohreh Asgharzadeh, SAS Institute Inc., United States

TH4.O-5.4: INTER-ORBIT CHANGE DETECTION FOR HIGH-RESOLUTION SAR IMAGERY USING CONDITIONAL SIAMESE NETWORK

Eiji Kaneko, Takahiro Toizumi, Kazutoshi Sagi, Masato Toda, NEC corporation, Japan

TH4.O-5.5: SPATIO-TEMPORAL SUPER-RESOLUTION RECONSTRUCTION OF REMOTE SENSING DATA

Igor Yanovsky, NASA Jet Propulsion Laboratory, California Institute of Technology, United States; Jing Qin, University of Kentucky, United States

TH4.O-5.6: TRIAL OF DETECTION ACCURACIES IMPROVEMENT FOR JJ-FAST DEFORESTATION DETECTION ALGORITHM USING DEEP LEARNING

Manabu Watanabe, Tokyo Denki University, Japan; Christian Koyama, Masato Hayashi, Izumi Nagatani, Takeo Tadono, Japan Aerospace Exploration Agency (JAXA), Japan; Masanobu Shimada, Tokyo Denki University, Japan