Quality Control of Slot-Die Coated Aluminum Oxide Layers for Battery Applications Using Hyperspectral Imaging
By: Florian Gruber, Philipp Wollmann, Benjamin Schumm, Wulf Grählert, Stefan Kaskel
Abstract
Hyperspectral inspection using imaging systems is becoming more and more important for quality control tasks in several industries, replacing well trained operators or established machine vision systems based on RGB-systems.
Quantifying Seasonal and Diurnal Cycles of Solar‐Induced Fluorescence With a Novel Hyperspectral Imager
By: Sophie Ruehr, Cynthia Gerlein‐Safdi, Nicola Falco, Paul O. Seibert, Chunwei Chou, Loren Albert, and Trevor F. Keenan
Solar‐induced fluorescence (SIF) is a proxy of ecosystem photosynthesis that often scales linearly with gross primary productivity (GPP) at the canopy scale. However, the mechanistic relationship between GPP and SIF is still uncertain, especially at smaller temporal and spatial scales. We deployed a ultra‐hyperspectral imager over two grassland sites in California throughout a soil moisture dry down. The imager has high spatial resolution that limits mixed pixels, enabling differentiation between plants and leaves within one scene. We find that imager SIF correlates well with diurnal changes in leaf‐level physiology and gross primary productivity under well‐watered conditions. These relationships deteriorate throughout the dry down event. Our results demonstrate an advancement in SIF imaging with new possibilities in remotely sensing plant canopies from the leaf to the ecosystem. These data can be used to resolve outstanding questions regarding SIF’s meaning and usefulness in terrestrial ecosystem monitoring.
Radio-frequency and optical techniques for evaluating anchovy freshness
By: Eleonora Iaccheri, Chiara Cevoli, Leonardo Franceschelli, Marco Tartagni, Luigi Ragni, Annachiara Berardinelli
Abstract
The freshness of anchovies (Engraulis Encrasicolus) was estimated by radio-frequency and optical techniques in order to propose non-destructive and objective methods for rapid screening. Measurements were conducted until 7 days at 0 °C, storing the fish under ice. Image analysis, dielectric spectroscopy and hyperspectral images were conducted on fish eyes whilst mechanical properties were measured on the fish body.
Ready for Takeoff: Drone-Based Sensing Takes Flight
By: Michael Eisenstein
Uncrewed aircraft can effectively bring sensor systems into challenging environments. Implementing these advanced systems can require a large investment and considerable planning. Nevertheless, hyperspectral sensing adds value in terms of its versatility.
Recent Developments in Hyperspectral Imaging for Assessment of Food Quality and Safety
By: Hui Huang, Li Liu, Michael O. Ngadi
Abstract
This paper provides a comprehensive review on the recent development of hyperspectral imaging applications in food and food products.
Reflectance Imaging Spectroscopy for Operation Night Watch Rembrandt’s Masterpiece
By: Francesca Gabrieli, John K. Delaney, Robert G. Erdmann, Victor Gonzalez, Annelies van Loon, Patrick Smulders, Roy Berkeveld, Robert van Langh, Katrien Keune
Abstract
The large size of the painting (3.78 m by 4.53 m) and the diversity of the technical investigations being performed make Operation Night Watch the largest research project ever undertaken at the Rijksmuseum. To construct a complete reflectance image cube at a high spatial resolution (168 µm2) and spectral resolution (2.54 to 6 nm), the painting was imaged with two high-sensitivity line scanning hyperspectral cameras (VNIR 400 to 1000 nm, 2.54 nm, and SWIR 900 to 2500 nm, 6 nm).
Remote hyperspectral imaging of grapevine leafroll-associated virus 3 in cabernet sauvignon vineyards
By: Sarah L. MacDonald, Matthew Staid, Melissa Staid, Monica L. Cooper
Abstract
Comprehensive mapping (total population sampling) of disease presence on the ground is cumbersome and cost prohibitive in many situations. In addition, the practice of identifying diseased vines requires individuals to be highly trained to recognize symptoms. Compared to more traditional detection methods, airborne hyperspectral imaging offers a potentially valuable alternative for monitoring the disease that is cost effective, reliable and automatable.
Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress
By: Gina H. Mohammed, Roberto Colombo, Elizabeth M. Middleton, Uwe Rascher, Christiaan van der Tol, Ladislav Nedbal, Yves Goulas, Oscar Pérez-Priego, Alexander Damm, Michele Meroni, Joanna Joiner, Sergio Cogliati, Wouter Verhoef, Zbyněk Malenovský, Jean-Phili
Abstract
Remote sensing of solar-induced chlorophyll fluorescence (SIF) is a rapidly advancing front in terrestrial vegetation science, with emerging capability in space-based methodologies and diverse application prospects. Although remote sensing of SIF – especially from space – is seen as a contemporary new specialty for terrestrial plants, it is founded upon a multi-decadal history of research, applications, and sensor developments in active and passive sensing of chlorophyll fluorescence.
Ripeness evaluation of kiwifruit by hyperspectral imaging
By: Alessandro Benelli, Chiara Cevoli, Angelo Fabbri, Luigi Ragni
Abstract
In this study, hyperspectral imaging operating at 400–1000 nm (Vis/NIR) was adopted to evaluate the ripeness degree of ‘Hayward’ kiwifruit. Partial least square (PLS) regression models were developed to estimate SSC and FF, while two different types of PLS discriminant analysis (PLS-DA) were used to classify samples according to three repining classes (defined on the base of SCC and FF values).
Saliency-based visualization of hyperspectral satellite images using hierarchical fusion
By: Faisal Masood, Imtnan-ul-Haque Qazi, Khurram Khurshid
Abstract
Owing to a large number of spectral bands, it is always a challenge to devise an optimal visualization method for hyperspectral images. An algorithm must maintain a balance between dimensionality reduction and restoration of maximum spectral information. A methodology for visualization of hyperspectral imagery is proposed based on extraction of salient regions.
