2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

My IGARSS 2020 Schedule

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Session Detail

Session Title	MO2.R18: Change Detection in SAR Images
Presentation Mode	Virtual
Session Time	Mon, 28 Sep, 14:30 - 16:30 UTC Mon, 28 Sep, 22:30 - 00:30 China Standard Time (UTC +8) Mon, 28 Sep, 16:30 - 18:30 Central Europe Time (UTC +2) Mon, 28 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session Chairs	Andrea Marinoni, Arctic University of Norway and Alejandro Frery, Victoria University of Wellington

MO2.R18.1: SMALL OBJECT CHANGE DETECTION BASED ON MULTITASK SIAMESE NETWORK

Shreya Sharma; NEC Corporation

Eiji Kaneko; NEC Corporation

Masato Toda; NEC Corporation

MO2.R18.2: EFFICIENT GPU-BASED LOCAL HISTOGRAM ANALYZER FOR CHANGE DETECTION IN SATELLITE SAR IMAGES

Masato Gocho; Mitsubishi Electric Corporation

Motofumi Arii; Mitsubishi Electric Corporation

MO2.R18.3: POTENTIAL OF FOREST MONITORING WITH MULTI-TEMPORAL TANDEM-X HEIGHT MODELS

Michael Schlund; University of Göttingen

Collins B. Kukunda; University of Göttingen

Sabine Baumann; German Aerospace Center

Birgit Wessel; German Aerospace Center

Nadine Kiefl; Airbus Defence and Space

Felicitas von Poncet; Airbus Defence and Space

MO2.R18.4: SAR IMAGE CHANGE DETECTION METHOD VIA A PYRAMID POOLING CONVOLUTIONAL NEURAL NETWORK

Rongfang Wang; Xidian University

Fan Ding; Xidian University

Jia-Wei Chen; Xidian University

Bo Liu; Xidian University

Jie Zhang; Xidian University

Licheng Jiao; Xidian University

MO2.R18.5: A COMPOUND POLARIMETRIC-TEXTURAL APPROACH FOR UNSUPERVISED CHANGE DETECTION IN MULTI-TEMPORAL FULL-POL SAR IMAGERY

Davide Pirrone; Université Savoie Mont Blanc

Minh-Tan Pham; Université Bretagne-Sud

MO2.R18.6: PARAMETER OPTIMIZATION FOR DETECTING SEISMIC GROUND DEFORMATION FROM AIRBORNE SAR IMAGES

Koichi Ito; Tohoku University

Haruki Imai; Tohoku University

Takafumi Aoki; Tohoku University

Jyunpei Uemoto; National Institute of Information and Communications Technology

MO2.R18.7: VOLCANIC ERUPTION MONITORING USING COHERENCE CHANGE DETECTION MATRIX

Thu Trang Le; Clermont Auvergne University

Jean-Luc Froger; Clermont Auvergne University

Nicolas Baghdadi; University of Montpellier

Dinh Ho Tong Minh; University of Montpellier

MO2.R18.8: UNSUPERVISED AUTOMATIC TARGET DETECTION FOR MULTITEMPORAL SAR IMAGES BASED ON ADAPTIVE K-MEANS ALGORITHM

Alexandre Campos; Aeronautics Institute of Technology

Ricardo Molin Jr.; Aeronautics Institute of Technology

Viet Vu; Blekinge Institute of Technology

Mats Pettersson; Blekinge Institute of Technology

Renato Machado; Aeronautics Institute of Technology

MO2.R18.9: BIPARTITE RESIDUAL NETWORK FOR CHANGE DETECTION IN HETEROGENEOUS OPTICAL AND RADAR IMAGES

Haocheng Zhang; Nanjing University of Science and Technology

Jia Liu; Nanjing University of Science and Technology

Liang Xiao; Nanjing University of Science and Technology

MO2.R18.10: CHANGE DETECTION OF POLARIMETRIC SAR IMAGES USING MINKOWSKI LOG-RATIO DISTANCE

Shuailin Chen; Wuhan University

Xiangli Yang; Wuhan University

Tongyuan Zou; Space Star Technology Co., Ltd. (SST)

Dong Peng; Wuhan University

Wen Yang; Wuhan University

Heng-Chao Li; Southwest Jiaotong University