Spectral Diffractive Lenses for Measuring a Modified Red Edge Simple Ratio Index and a Water Band Index

Blank, V. A.; Скиданов, Р. В.; Doskolovich, Leonid L.; Kazanskiy, Nikolay L.

doi:10.3390/s21227694

Cited by 14 publications

(3 citation statements)

References 28 publications

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“…Two remote sensing parameters were used to assess water status at canopy level. One is the turgor hydration of the leaves thought the multispectral index WBI ( Blank et al., 2021 ) and the other one the plant transpiration activity, via the CT measurement ( Araus et al., 2002 ). For most of the environments and regardless of their yield potential, both parameters were repetitively selected among the most critical parameters for GY predictions.…”

Section: Discussionmentioning

confidence: 99%

Defining durum wheat ideotypes adapted to Mediterranean environments through remote sensing traits

Gracia-Romero,

Vatter,

Kefauver

et al. 2023

Front. Plant Sci.

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An acceleration of the genetic advances of durum wheat, as a major crop for the Mediterranean region, is required, but phenotyping still represents a bottleneck for breeding. This study aims to define durum wheat ideotypes under Mediterranean conditions by selecting the most suitable phenotypic remote sensing traits among different ones informing on characteristics related with leaf pigments/photosynthetic status, crop water status, and crop growth/green biomass. A set of 24 post–green revolution durum wheat cultivars were assessed in a wide set of 19 environments, accounted as the specific combinations of a range of latitudes in Spain, under different management conditions (water regimes and planting dates), through 3 consecutive years. Thus, red–green–blue and multispectral derived vegetation indices and canopy temperature were evaluated at anthesis and grain filling. The potential of the assessed remote sensing parameters alone and all combined as grain yield (GY) predictors was evaluated through random forest regression models performed for each environment and phenological stage. Biomass and plot greenness indicators consistently proved to be reliable GY predictors in all of the environments tested for both phenological stages. For the lowest-yielding environment, the contribution of water status measurements was higher during anthesis, whereas, for the highest-yielding environments, better predictions were reported during grain filling. Remote sensing traits measured during the grain filling and informing on pigment content and photosynthetic capacity were highlighted under the environments with warmer conditions, as the late-planting treatments. Overall, canopy greenness indicators were reported as the highest correlated traits for most of the environments and regardless of the phenological moment assessed. The addition of carbon isotope composition of mature kernels was attempted to increase the accuracies, but only a few were slightly benefited, as differences in water status among cultivars were already accounted by the measurement of canopy temperature.

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Section: Discussionmentioning

confidence: 99%

Defining durum wheat ideotypes adapted to Mediterranean environments through remote sensing traits

Gracia-Romero,

Vatter,

Kefauver

et al. 2023

Front. Plant Sci.

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“…Previously, a method for directly generating index images has been proposed [63,64] and utilized for imaging skin blood vessels [64]. However, the method described in [64] also lacks universality because it described experiments conducted with the skin of a single person and had limitations relating to the number of wavelengths used (a two-wavelength index).…”

Section: Introductionmentioning

confidence: 99%

Visualization of Subcutaneous Blood Vessels Based on Hyperspectral Imaging and Three-Wavelength Index Images

Hamza,

Skidanov,

Podlipnov

2023

Sensors

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Blood vessel visualization technology allows nursing staff to transition from traditional palpation or touch to locate the subcutaneous blood vessels to visualized localization by providing a clear visual aid for performing various medical procedures accurately and efficiently involving blood vessels; this can further improve the first-attempt puncture success rate for nursing staff and reduce the pain of patients. We propose a novel technique for hyperspectral visualization of blood vessels in human skin. An experiment with six participants with different skin types, race, and nationality backgrounds is described. A mere separation of spectral layers for different skin types is shown to be insufficient. The use of three-wavelength indices in imaging has shown a significant improvement in the quality of results compared to using only two-wavelength indices. This improvement can be attributed to an increase in the contrast ratio, which can be as high as 25%. We propose and implement a technique for finding new index formulae based on an exhaustive search and a binary blood-vessel image obtained through an expert assessment. As a result of the search, a novel index formula was deduced, allowing high-contrast blood vessel images to be generated for any skin type.

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“…В работе [11] также показана возможность существенного сокращения габаритов системы за счет использования дифракционной оптики с переотражением между двумя поверхностями. В работах [15,16] показаны преимущества дифракционно-оптических систем со спектральным разделением, позволяющие решать задачи ДЗЗ, такие как расчет вегетативных индексов [16] и индексов влажности [15]. В работе [4] впервые показано, что использование бинокулярной дифракионно-оптической системы с нейросетевой реконструкцией изображений позволяет существенно повысить качество получаемых изображений.…”

Section: Introductionunclassified

Color imaging using a system based on 3 diffractive lenses

Stepanenko,

Evdokimova,

Petrov

et al. 2023

Computer Optics

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The possibility of essentially reducing the weight and production cost of computer vision systems has led to the publication of a large number of research works dealing with the development of new imaging systems based on diffractive optics. This study proposes a new imaging system composed of three diffractive lenses, with each forming a separate channel of the color RGB image. This approach allows us to significantly narrow the spectral range of each lens, thus significantly reducing the image distortion caused by chromatic aberration inherent in diffractive optics. It shows that this scheme allows us to perform the neural network-aided image reconstruction, providing a significantly improved resulting image quality. The study proposes a false edge level criterion (FEL) for evaluating the neural network-aided reconstruction.

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Spectral Diffractive Lenses for Measuring a Modified Red Edge Simple Ratio Index and a Water Band Index

Cited by 14 publications

References 28 publications

Defining durum wheat ideotypes adapted to Mediterranean environments through remote sensing traits

Defining durum wheat ideotypes adapted to Mediterranean environments through remote sensing traits

Visualization of Subcutaneous Blood Vessels Based on Hyperspectral Imaging and Three-Wavelength Index Images

Color imaging using a system based on 3 diffractive lenses

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