PORTO @ 
Archivio Istituzionale della Ricerca
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishIn the field of remote sensing image compression it is often argued that traditional MSE-based fidelity metrics might not effectively describe the quality of remote sensing lossy or near-lossless compressed images. In this paper we introduce a performance evaluation framework based on both reconstruction fidelity and impact on image exploitation. Besides MSE, the framework also considers hard classification and mixed pixel classification, as well as anomaly detection. We apply this framework to evaluate and compare the quality of state-of-the-art lossy and near-lossless compression techniques applied to hyperspectral AVIRIS scenes.
Quality assessment for hyperspectral imagery: comparison between lossy and near-lossless compression / PENNA B; TILLO T.; MAGLI E; OLMO G. - (2006), pp. 1902-1906. ((Intervento presentato al convegno Asilomar Conference on Signals, Systems, and Computers tenutosi a Pacific Grove, USA nel October, 2006 [10.1109/ACSSC.2006.355093].
| Titolo: | Quality assessment for hyperspectral imagery: comparison between lossy and near-lossless compression | |
| Autori: | ||
| Data di pubblicazione: | 2006 | |
| Abstract: | In the field of remote sensing image compression it is often argued that traditional MSE-based fi...delity metrics might not effectively describe the quality of remote sensing lossy or near-lossless compressed images. In this paper we introduce a performance evaluation framework based on both reconstruction fidelity and impact on image exploitation. Besides MSE, the framework also considers hard classification and mixed pixel classification, as well as anomaly detection. We apply this framework to evaluate and compare the quality of state-of-the-art lossy and near-lossless compression techniques applied to hyperspectral AVIRIS scenes. | |
| ISBN: | 9781424407859 | |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
File in questo prodotto:
http://hdl.handle.net/11583/1531910
Copyright © 2022