Title | ||
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Hyperspectral Airborne "Viareggio 2013 Trial" Data Collection for Detection Algorithm Assessment. |
Abstract | ||
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For many years, the entire target detection scientific community has felt the urge for fully ground-truthed hyperspectral imagery data sets expressly released for testing and comparing detection algorithms. Although a few excellent data-sharing efforts have been carried out in the last decade, the use of either restricted or not well ground-truthed imagery still remains a common practice in the ta... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/JSTARS.2016.2531747 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Hyperspectral imaging,Object detection,Sensors,Instruments,Calibration,Data collection | Data mining,Anomaly detection,Data set,Change detection,Remote sensing,Artificial intelligence,Benchmarking,Data collection,Object detection,Computer vision,Data sharing,Algorithm,Hyperspectral imaging,Mathematics | Journal |
Volume | Issue | ISSN |
9 | 6 | 1939-1404 |
Citations | PageRank | References |
4 | 0.59 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nicola Acito | 1 | 191 | 22.58 |
Stefania Matteoli | 2 | 152 | 18.05 |
A. Rossi | 3 | 8 | 1.34 |
Marco Diani | 4 | 261 | 30.99 |
Giovanni Corsini | 5 | 299 | 40.26 |