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Spectral Diffractive Lenses for Measuring a Modified Red Edge Simple Ratio Index and a Water Band Index.
Veronika Blank1,2, Roman Skidanov1,2, Leonid Doskolovich1
1Image Processing Systems Institute of RAS-Branch of the Federal Scientific Research Centre Crystallography and Photonics of Russian Academy of Sciences, 151 Molodogvardeyskaya St., 443001 Samara, Russia.
Sensors (Basel, Switzerland)
|November 27, 2021
Summary
We developed novel spectral diffractive lenses that create sharp images for vegetation index measurements. These lenses offer a simpler alternative to hyperspectral imaging for remote sensing applications.
Area of Science:
- Optics
- Remote Sensing
- Materials Science
Background:
- Hyperspectral imaging provides detailed spectral information but is complex and costly.
- Remote sensing of vegetation indices typically requires sophisticated sensor systems.
- Spectral diffractive lenses offer a potential solution for simplified spectral imaging.
Purpose of the Study:
- To design and fabricate novel spectral diffractive lenses for vegetation index measurements.
- To evaluate the performance of these lenses in a prototype imaging sensor.
- To demonstrate the utility of spectral lenses for generating vegetation index images.
Main Methods:
- Design and fabrication of spectral diffractive lenses using direct laser writing in photoresist.
- Microrelief fabrication with a thickness of 4 µm.
- Integration of fabricated lenses into a prototype imaging sensor.
- Linear scanning of vegetation specimens for index measurement.
Main Results:
- Successful synthesis of spectral diffractive lenses operating in the ±1 diffraction orders.
- Demonstration of sharp image generation for specific wavelengths of interest.
- Experimental measurement of vegetation index distributions (Modified Red Edge Simple Ratio Index, Water Band Index) using linear scanning.
- Validation of spectral lenses for obtaining remotely sensed vegetation index images.
Conclusions:
- Spectral diffractive lenses are a viable technology for simplified vegetation index imaging.
- These lenses provide a practical alternative to full hyperspectral imaging for specific remote sensing tasks.
- The fabricated lenses show promise for developing compact and cost-effective imaging sensors.

