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

Collections

Department of Computer Engineering, Conference / Seminar