Towards Low-Cost Hyperspectral Single-Pixel Imaging for Plant Phenotyping

Sensors

Gaspard Russias¹  Denis Tregoat¹  Antoine Fournier²  Mathieu Ribes² 

[1] Department of Biophotonics, Photonics Bretagne, 4 rue Louis de Broglie, 22300 Lannion, France;Department of Crop Phenotyping, Arvalis-Institut du Végétal, 45 voie Romaine, Ouzouer le Marché, 41240 Beauce-la-Romaine, France;

关键词: plant phenotyping;    proximal sensing;    hyperspectral imaging;    single pixel imaging;    fourier patterns;   

DOI  :  10.3390/s20041132

来源: DOAJ

【 摘 要 】

Hyperspectral imaging techniques have been expanding considerably in recent years. The cost of current solutions is decreasing, but these high-end technologies are not yet available for moderate to low-cost outdoor and indoor applications. We have used some of the latest compressive sensing methods with a single-pixel imaging setup. Projected patterns were generated on Fourier basis, which is well-known for its properties and reduction of acquisition and calculation times. A low-cost, moderate-flow prototype was developed and studied in the laboratory, which has made it possible to obtain metrologically validated reflectance measurements using a minimal computational workload. From these measurements, it was possible to discriminate plant species from the rest of a scene and to identify biologically contrasted areas within a leaf. This prototype gives access to easy-to-use phenotyping and teaching tools at very low-cost.

【 授权许可】

Unknown