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.
Addesso, P., Longo, M., Maltese, A., Montone, R., Restaino, R., & Vivone, G. (2015). Robustified smoothing for enhancement of thermal image sequences affected by clouds. In International Geoscience and Remote Sensing Symposium (IGARSS) (pp.1076-1079). NY : Institute of Electrical and Electronics Engineers Inc..
Autori: | Addesso, P.; Longo, M.; Maltese, A.; Montone, R.; Restaino, R.; Vivone, G. |
Titolo: | Robustified smoothing for enhancement of thermal image sequences affected by clouds |
Settore Scientifico Disciplinare: | Settore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologia Settore ING-INF/03 - Telecomunicazioni Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali Settore ICAR/06 - Topografia E Cartografia |
Data di creazione: | 2015-07-26 |
Nome del convegno: | IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 |
Luogo del convegno: | Milano (Italia) |
Anno del convegno: | 26/31 Luglio 2015 |
Data di concessione: | 2015 |
Data di pubblicazione: | 2015 |
Formato: | Online |
Numero di pagine: | 4 |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/IGARSS.2015.7325956 |
URL: | http://ieeexplore.ieee.org/abstract/document/7325956/?section=abstract |
Altre informazioni significative: | ISBN Information: Electronic ISBN: 978-1-4799-7929-5 USB ISBN: 978-1-4799-7928-8 ISSN Information: Print ISSN: 2153-6996 Electronic ISSN: 2153-7003 |
Citazione: | Addesso, P., Longo, M., Maltese, A., Montone, R., Restaino, R., & Vivone, G. (2015). Robustified smoothing for enhancement of thermal image sequences affected by clouds. In International Geoscience and Remote Sensing Symposium (IGARSS) (pp.1076-1079). NY : Institute of Electrical and Electronics Engineers Inc.. |
Tipologia: | 0 - Proceedings (TIPOLOGIA NON ATTIVA) |
Appare nelle tipologie: | 0 - Proceedings (TIPOLOGIA NON ATTIVA) |
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