Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/114894
| Título: | A FRAMEWORK FOR STATISTICAL NONLOCAL MEANS NOISE REDUCTION IN POLSAR DATA | Autores/as: | Gomez, Luis Wu, Jie Frery, A. C. |
Clasificación UNESCO: | 220915 Optometría | Fecha de publicación: | 2021 | Editor/a: | Institute of Electrical and Electronics Engineers (IEEE) | Conferencia: | 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 | Resumen: | Fully Polarimetric SAR (Synthetic Aperture Radar), PolSAR, inherits the advantages of SAR systems (day and night imaging capacity, almost all-weather and active imaging), while extending its capabilities through the use of four polarization combinations (Horizontal and Vertical - HH, VV, HV, VH) [1]. PolSAR data integrates multiple types of rich information, such as frequency, amplitude and phase, which contributes to better characterizing different targets. | URI: | http://hdl.handle.net/10553/114894 | ISBN: | 978-1-6654-0369-6 | DOI: | 10.1109/IGARSS47720.2021.9554507 | Fuente: | 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, p. 1689-1692, (Enero 2021) |
| Colección: | Actas de congresos |
Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.