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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Addesso, P. Longo, M. Maltese, A. Montone, R. Restaino, R. Vivone, G. |
| Copyright Year | 2015 |
| Description | Author affiliation: Centre for Maritime Res. & Experimentation, North Atlantic Treaty Organ. (NATO), La Spezia, Italy (Vivone, G.) || Dipt. di Ing. dell'Inf., Univ. degli Studi di Salerno, Fisciano, Italy (Addesso, P.; Longo, M.; Montone, R.; Restaino, R.) || Dipt. di Ing. Civile Ambientale, Aerospaziale e dei Mater., Univ. degli Studi di Palermo, Palermo, Italy (Maltese, A.) |
| Abstract | Obtaining radiometric surface temperature information with both high acquisition rate and high spatial resolution is still not possible through a single sensor. However, in several earth observation applications, the fusion of data acquired by different sensors is a viable solution for so called image sharpening. A related issue is the presence of clouds, which may impair the performance of the data fusion algorithms. In this paper we propose a robustified setup for the sharpening of thermal images in a non real-time scenario, capable to deal with missing thermal data due to cloudy pixels, and robust with respect to cloud mask misclassifications. The effectiveness of the presented technique is assessed via numerical simulations based on SEVIRI data. |
| Starting Page | 1076 |
| Ending Page | 1079 |
| File Size | 808662 |
| Page Count | 4 |
| File Format | |
| e-ISBN | 9781479979295 |
| DOI | 10.1109/IGARSS.2015.7325956 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-07-26 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Clouds Spatial resolution Interpolation Remote sensing Robustness Smoothing methods Thermal Sharpening Cloud Masking Multitemporal Analysis Bayesian Smoothing |
| Content Type | Text |
| Resource Type | Article |
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