Resumen
The areas in which the Infrared (IR) spectrum gives vital information are as different as they are unique. However, this versatility comes with limitations. One of these obstacles is how to deal with the noise that affects this spectrum, which heavily distorts the data acquired from a scene. This investigation centers itself around how to fix the Fixed Pattern Noise (FPN) in the Short Wave Infrared (SWIR) using a refocusing algorithm, as an alternative of the two point black body calibration. Plants are chosen because of the ease to identify hidric stress in them using IR imaging due to the water natural reflectance and absorbance properties. The elimination of noise using this method will be revised, comparing it to the well known two point calibration method. Furthermore, by using filters a multispectral cube will be created and a spectral range of interest within the SWIR will be defined.
Idioma original | Inglés |
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Título de la publicación alojada | ChileCon 2023 - 2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies |
Editorial | Institute of Electrical and Electronics Engineers Inc. |
ISBN (versión digital) | 9798350369533 |
DOI | |
Estado | Publicada - 2023 |
Evento | 2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, ChileCon 2023 - Hybrid, Valdivia, Chile Duración: 2023 → 2023 |
Serie de la publicación
Nombre | Proceedings - IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, ChileCon |
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ISSN (versión impresa) | 2832-1529 |
ISSN (versión digital) | 2832-1537 |
Conferencia
Conferencia | 2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, ChileCon 2023 |
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País/Territorio | Chile |
Ciudad | Hybrid, Valdivia |
Período | 05/12/23 → 07/12/23 |
Nota bibliográfica
Publisher Copyright:© 2023 IEEE.
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