Neural network-based model for estimating the wind vector using ERS scatterometer data
International Geoscience and Remote Sensing Symposium (IGARSS)
Saved in:
Main Authors: | Kasilingam, Dayalan, Lin, I.-I., Khoo, Victor, Hock, Lim |
---|---|
Other Authors: | CTR FOR REM IMAGING,SENSING & PROCESSING |
Format: | Conference or Workshop Item |
Published: |
2014
|
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/112885 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Study of the effect of swell in scatterometer wind measurements using ERS SAR wave mode data
by: Kasilingam, Dayalan, et al.
Published: (2014) -
Quantitative study of tropical rain cells from ERS SAR imagery
by: Lin, I.-I., et al.
Published: (2014) -
Artificial neural network-based inversion technique for extracting ocean surface wave spectra from SAR images
by: Kasilingam, Dayalan, et al.
Published: (2014) -
An ERS-1 synthetic aperture radar image of a tropical squall line compared with weather radar data
by: Lin, I.-I., et al.
Published: (2014) -
Investigation of tropical rain cells with ERS SAR imagery and ground-based weather radar
by: Kasilingam, D., et al.
Published: (2014)