A Novel Correction Methodology to Improve the Performance of a Low-Cost Hyperspectral Portable Snapshot Camera

Andrea Genangeli, Giovanni Avola, Marco Bindi, Claudio Cantini, Francesco Cellini, Ezio Riggi, Beniamino Gioli · 2023

Read A Novel Correction Methodology to Improve the Performance of a Low-Cost Hyperspectral Portable Snapshot Camera by Andrea Genangeli, Giovanni Avola, Marco Bindi, Claudio Cantini, Francesco Cellini, Ezio Riggi, Beniamino Gioli (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10748185.txt.

Description

Cameras that read hundreds of colors per pixel can grade crops and land from the air, but the research-grade versions cost too much for wide farm use. Andrea Genangeli and co-authors take a cheap portable model and fix its flaws in a 2023 study. Raw output from the camera showed jumps and gaps at set colors, plus a noise floor that crept up over time.

Their repair pipeline smooths the jumps at the worst colors by large factors and measures the leftover noise. Tests confirm the cleaned spectra stay true to the scene. Since the method is general, it can be ported to other low-cost cameras of the same kind. Cheaper, cleaner color data could put precision farming tools in far more hands.

Catalog record

CREATORAndrea Genangeli, Giovanni Avola, Marco Bindi, Claudio Cantini, Francesco Cellini, Ezio Riggi, Beniamino Gioli
YEAR2023
COLLECTIONPAPERS
FORMATTXT
FILE SIZE38 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC10748185

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