MO3.S1.4
A CORRECTED POLARIZATION BRDF MODEL BASED ON MACHINE LEARNING METHOD
Jinghan Wen, Jing Xu, Chinese Academy of Meteorological Sciences, China; FuzhongFu Weng, LingliLingli He, China Meteorological Administration, China; Tong Jia, Chinese Academy of Meteorological Sciences, China
Session:
MO3.S1: Models for Surface Scattering Oral
Track:
Modeling
Location:
Room S1
Presentation Time:
Monday, 4 August, 13:45 - 14:00
Presentation
Discussion
Resources
No resources available.
Session MO3.S1
MO3.S1.1: SIMULATED SURFACE ROUGHNESS (SSR) FOR SENTINEL-1 DATA: AN ATTEMPT TO MITIGATE THE EFFECTS OF ORIENTATION ANGLE ON ROUGHNESS ESTIMATES
Narmatha Balachandar Gani, Shoba Periasamy, Anna University, India
MO3.S1.2: ESTIMATION OF HYDRODYNAMIC MODULATION TRANSFER FUNCTION FOR THE CREAMER AND CHOPPY WAVE SURFACE MODELS
Jakov Toporkov, US Naval Research Laboratory, United States; Joel Johnson, The Ohio State University, United States; Jeffrey Ouellette, US Naval Research Laboratory, United States
MO3.S1.3: DEVELOPMENT OF CROSS-POLARIZED COMPONENT OF DUBOIS MODEL FOR ENHANCED SOIL MOISTURE ESTIMATION USING DPRVI WITH DUAL-POLARIZED C-BAND SAR DATA
Subham Roy, Rajendra Prasad, Indian Institute of Technology (Banaras Hindu University), India; Prashant Kumar Srivastava, Banaras Hindu University, India; Hari Shanker Srivastava, Indian Institute of Remote Sensing, Indian Space Research Organisation, India; Varun Narayan Mishra, Amity University, India; Ram Avtar, Hokkaido University, India
MO3.S1.4: A CORRECTED POLARIZATION BRDF MODEL BASED ON MACHINE LEARNING METHOD
Jinghan Wen, Jing Xu, Chinese Academy of Meteorological Sciences, China; FuzhongFu Weng, LingliLingli He, China Meteorological Administration, China; Tong Jia, Chinese Academy of Meteorological Sciences, China
MO3.S1.5: POWER CONSERVATION IN ROUGH SURFACE EMISSION MODELING
Nicholas Brendle, Afia Mubassira Islam, Joel Johnson, The Ohio State University, United States
Resources
No resources available.