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http://hdl.handle.net/10553/114894
| Title: | A FRAMEWORK FOR STATISTICAL NONLOCAL MEANS NOISE REDUCTION IN POLSAR DATA | Authors: | Gomez, Luis Wu, Jie Frery, A. C. |
UNESCO Clasification: | 220915 Optometría | Issue Date: | 2021 | Publisher: | Institute of Electrical and Electronics Engineers (IEEE) | Conference: | 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 | Abstract: | 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 | Source: | 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, p. 1689-1692, (Enero 2021) |
| Appears in Collections: | Actas de congresos |
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