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Hyperspectral target detection - An experimental study
Date
2015-05-19
Author
GUNYEL, BERTAN
Cinbiş, Ramazan Gökberk
Ture, Sedat
Gurbuz, Ali Cafer
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
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In hyperspectral imaging, the measured spectra are affected by the materials and objects that reside within or in close vicinity of the pixel which is being imaged. The detection of a material or object of interest in an imaged region is a common problem in various application areas. In this work, an experimental study is performed for target detection in hyperspectral images, supported by a performance comparison.
Subject Keywords
Hyperspectral target detection
,
Machine learning
,
Spectral signature
URI
https://hdl.handle.net/11511/37280
DOI
https://doi.org/10.1109/siu.2015.7130427
Collections
Department of Computer Engineering, Conference / Seminar