17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

Preserving Our Heritage, Enabling Our Future Through Remote Sensing

17 - 22 July, 2022 • Physical: Kuala Lumpur Convention Centre (KLCC), Kuala Lumpur, Malaysia • Hybrid: Online Platform

TU6.V15.5

A U-NET BASED DEEP LEARNING APPROACH FOR SEISMIC RANDOM NOISE SUPPRESSION

Tingting Bai, Haixia Zhao, Zhiqiang Wang, Xi'an Jiaotong University, China
Session:
Land Remote Sensing Applications Multimedia Virtual
Track:
Land Applications
Location:
Virtual Room 15
Presentation Time:
Tue, 19 Jul, 21:35 - 22:45 Malaysia Time (UTC +8)
Tue, 19 Jul, 15:35 - 16:45 Central European Time (UTC +1)
Tue, 19 Jul, 13:35 - 14:45 UTC
Tue, 19 Jul, 09:35 - 10:45 Eastern Time (UTC -5)
Session Co-Chairs:
Johanna Garcia Cardona, University of Southern California and Ming Li, The George Washington University
Session Manager:
Aswini Kaur Jaswant Singh
Presentation
Discussion
Resources
No resources available.
Session TU6.V15
TU6.V15.1: MULTI-TASK DEEP LEARNING SEISMIC IMPEDANCE INVERSION OPTIMIZATION BASED ON HOMOSCEDASTIC UNCERTAINTY
Xiu Zheng, Bangyu Wu, Xu Zhu, Xi’an Jiaotong University, China; Xiaosan Zhu, Chinese Academy of Geological Sciences, China
TU6.V15.2: SEISMIC IMPEDANCE INVERSION BASED ON RESIDUAL ATTENTION NETWORK
Qiao Xie, Bangyu Wu, Xi’an Jiaotong University, China; Enjia Zhang, Chengdu University of Technology, China
TU6.V15.3: PETROPHYSICAL PROPERTIES AND SEISMIC WAVE PROPAGATION OF LOESS MEDIUM IN NORTHWEST CHINA
Haixia Zhao, Xi'an Jiaotong Universiry, China; Haifeng Zhao, Huan County Water and Soil Conservation Administration, China; Yijie Zhang, Xi’an Jiaotong University, China
TU6.V15.4: “MISSING-AS-COMPLETE” (MAC) STRATEGY AND HYBRID LOSS GUIDED NETWORK TRAINING FOR SEISMIC DATA RECONSTRUCTION
Xue Fei, Yongchang Hui, Bangyu Wu, Xi’an Jiaotong University, China; Rongwei Wang, Ximeng Lian, Shengli Geophysical Research Institute of SINOPEC, China
TU6.V15.5: A U-NET BASED DEEP LEARNING APPROACH FOR SEISMIC RANDOM NOISE SUPPRESSION
Tingting Bai, Haixia Zhao, Zhiqiang Wang, Xi'an Jiaotong University, China
TU6.V15.6: DOWNSCALING SMAP SOIL MOISTURE WITH ECOSTRESS PRODUCTS USING A GRAPH-BASED INTERPOLATION METHOD
Johanna Garcia Cardona, Antonio Ortega, University of Southern California, United States; Nereida Rodriguez-Alvarez, Jet Propulsion Laboratory/California Institute of Technology, United States
TU6.V15.7: SOIL MOISTURE ESTIMATION FROM CHINESE FENGYUN SATELLITE DATA
Qiu-Yu Yan, Yun-Jing Geng, Pei Leng, Chinese Academy of Agricultural Sciences, China; Yong-Rong Zhang, Hebei GEO University, China
TU6.V15.8: A DEEP LEARNING-BASED SOIL MOISTURE ESTIMATION IN CONUS REGION USING CYGNSS DELAY DOPPLER MAPS
M M Nabi, Volkan Senyurek, Ali Gurbuz, Mehmet Kurum, Mississippi State University, United States
TU6.V15.9: AN INVERSION OF A MODIFIED WATER CLOUD MODEL FOR SOIL MOISTURE CONTENT ESTIMATION THROUGH SENTINEL-1 AND LANDSAT-8 REMOTE SENSING DATA
Oualid Yahia, Moussa Sofiane Karoui, Agence Spatiale Algérienne, Centre des Techniques Spatiales, Algeria; Raffaella Guida, Surrey Space Centre, University of Surrey, United Kingdom
TU6.V15.10: P- AND L-BAND RETRIEVAL OF SUBSURFACE SOIL MOISTURE AND TEMPERATURE PROFILES AS FIRST-ORDER POLYNOMIAL FUNCTION
Ming Li, Roger Lang, The George Washington University, United States; Rajat Bindlish, Peggy O’Neill, National Aeronautics and Space Administration, United States; Michael Cosh, US DEPARTMENT OF AGRICULTURE, United States