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

MO2.R18.4

SAR IMAGE CHANGE DETECTION METHOD VIA A PYRAMID POOLING CONVOLUTIONAL NEURAL NETWORK

Rongfang Wang, Fan Ding, Jia-Wei Chen, Bo Liu, Jie Zhang, Licheng Jiao, Xidian University, China
Session:
Change Detection in SAR Images
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Mon, 28 Sep, 15:00-15:10 (UTC)
Mon, 28 Sep, 23:00-23:10 China Standard Time (UTC +8)
Mon, 28 Sep, 17:00-17:10 Central Europe Summer Time (UTC +2)
Mon, 28 Sep, 08:00-08:10 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
Andrea Marinoni, Arctic University of Norway and Alejandro Frery, Victoria University of Wellington
Session Managers:
Ahmed Balakhder and Selena Chavez

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Session

MO2.R18.1: SMALL OBJECT CHANGE DETECTION BASED ON MULTITASK SIAMESE NETWORK
Shreya Sharma, Eiji Kaneko, Masato Toda, NEC Corporation, Japan
MO2.R18.2: EFFICIENT GPU-BASED LOCAL HISTOGRAM ANALYZER FOR CHANGE DETECTION IN SATELLITE SAR IMAGES
Masato Gocho, Motofumi Arii, Mitsubishi Electric Corporation, Japan
MO2.R18.3: POTENTIAL OF FOREST MONITORING WITH MULTI-TEMPORAL TANDEM-X HEIGHT MODELS
Michael Schlund, Collins B. Kukunda, University of Göttingen, Germany; Sabine Baumann, Birgit Wessel, German Aerospace Center, Germany; Nadine Kiefl, Felicitas von Poncet, Airbus Defence and Space, Germany
MO2.R18.4: SAR IMAGE CHANGE DETECTION METHOD VIA A PYRAMID POOLING CONVOLUTIONAL NEURAL NETWORK
Rongfang Wang, Fan Ding, Jia-Wei Chen, Bo Liu, Jie Zhang, Licheng Jiao, Xidian University, China
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, France; Minh-Tan Pham, Université Bretagne-Sud, France
MO2.R18.6: PARAMETER OPTIMIZATION FOR DETECTING SEISMIC GROUND DEFORMATION FROM AIRBORNE SAR IMAGES
Koichi Ito, Haruki Imai, Takafumi Aoki, Tohoku University, Japan; Jyunpei Uemoto, National Institute of Information and Communications Technology, Japan
MO2.R18.7: VOLCANIC ERUPTION MONITORING USING COHERENCE CHANGE DETECTION MATRIX
Thu Trang Le, Jean-Luc Froger, Clermont Auvergne University, France; Nicolas Baghdadi, Dinh Ho Tong Minh, University of Montpellier, France
MO2.R18.8: UNSUPERVISED AUTOMATIC TARGET DETECTION FOR MULTITEMPORAL SAR IMAGES BASED ON ADAPTIVE K-MEANS ALGORITHM
Alexandre Campos, Ricardo Molin Jr., Aeronautics Institute of Technology, Brazil; Viet Vu, Mats Pettersson, Blekinge Institute of Technology, Sweden; Renato Machado, Aeronautics Institute of Technology, Brazil
MO2.R18.9: BIPARTITE RESIDUAL NETWORK FOR CHANGE DETECTION IN HETEROGENEOUS OPTICAL AND RADAR IMAGES
Haocheng Zhang, Jia Liu, Liang Xiao, Nanjing University of Science and Technology, China
MO2.R18.10: CHANGE DETECTION OF POLARIMETRIC SAR IMAGES USING MINKOWSKI LOG-RATIO DISTANCE
Shuailin Chen, Xiangli Yang, Wuhan University, China; Tongyuan Zou, Space Star Technology Co., Ltd. (SST), China; Dong Peng, Wen Yang, Wuhan University, China; Heng-Chao Li, Southwest Jiaotong University, China