Hyperspectral target detection - An experimental study

Date

2015-05-19

Author

GUNYEL, BERTAN
Cinbiş, Ramazan Gökberk
Ture, Sedat
Gurbuz, Ali Cafer

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

1
views

0
downloads

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