Assessment of bacterial biofilm on stainless steel by hyperspectral fluorescence imaging
By: Won Jun, Moon S. Kim, Kangjin Lee, Patricia Millner, Kuanglin Chao
Abstract
Hyperspectral fluorescence imaging techniques were investigated for detection of two genera of microbial biofilms on stainless steel material which is commonly used to manufacture food processing equipment.
Automated Georectification and Mosaicking of UAV-Based Hyperspectral Imagery from Push-Broom Sensors
By: Yoseline Angel, Darren Turner, Stephen Parkes, Yoann Malbeteau, Arko Lucieer, Matthew F. McCabe
Abstract
Hyperspectral systems integrated on unmanned aerial vehicles (UAV) provide unique opportunities to conduct high-resolution multitemporal spectral analysis for diverse applications. However, additional time-consuming rectification efforts in postprocessing are routinely required, since geometric distortions can be introduced due to UAV movements during flight, even if navigation/motion sensors are used to track the position of each scan.
Characterization of FIREFLY, an Imaging Spectrometer Designed for Airborne Measurements of Solar-Induced Fluorescence
By: Bruce Cook, Lawrence Corp, Peter Clemens, Ian Paynter, Jyoteshwar Nagol, Joel McCorkel
Abstract
FIREFLY (Fluorescence Imaging of REd and Far-red Light Yield) is a compact, fine-resolution imaging spectrometer that was designed and assembled by Headwall Photonics (Fitchburg, MA, USA) in collaboration with NASA scientists for airborne measurements of Solar-Induced Fluorescence (SIF).
Characterization of FIREFLY, an Imaging Spectrometer Designed for Remote Sensing of Solar-Induced Fluorescence
By: Ian Paynter, Bruce Cook, Lawrence Corp, Jyoteshwar Nagol, Joel McCorkel
Abstract
Solar induced fluorescence (SIF) is an ecological variable of interest to remote sensing retrievals, as it is directly related to vegetation composition and condition. FIREFLY (fluorescence imaging of red and far-red light yield) is a high performance spectrometer for estimating SIF. FIREFLY was flown in conjunction with NASA Goddard’s lidar, hyperspectral, and thermal (G-LiHT) instrument package in 2017, as a technology demonstration for airborne retrievals of SIF.
Characterization of Pharmaceutical Tablets Using UV Hyperspectral Imaging as a Rapid In-Line Analysis Tool
By: Mohammad Al Ktash, Mona Stefanakis, Barbara Boldrini, Edwin Ostertag and Marc Brecht
A laboratory prototype for hyperspectral imaging in ultra-violet (UV) region from 225 to 400 nm was developed and used to rapidly characterize active pharmaceutical ingredients (API) in tablets. The APIs are ibuprofen (IBU), acetylsalicylic acid (ASA) and paracetamol (PAR).
Classification of Black Plastics Waste Using Fluorescence Imaging and Machine Learning
By: Florian Gruber, Wulf Grählert, Philipp Wollmann, Stefan Kaskel
Abstract
This work contributes to the recycling of technical black plastic particles, for example from the automotive or electronics industries. These plastics cannot yet be sorted with sufficient purity (up to 99.9%), which often makes economical recycling impossible. As a solution to this problem, imaging fluorescence spectroscopy with additional illumination in the near infrared spectral range in combination with classification by machine learning or deep learning classification algorithms is here investigated.
Community and Commercial Monitoring of Cyanobacterial Blooms in Drinking and Recreational Bodies of Water by Air and on the Surface
By: Carson Roberts Ph.D, Scott M. Gallager, Ross Nakatsuji
Abstract
A presentation by Carson Roberts, PhD, at AGU 2022 includes an overview on hyperspectral imaging and a Headwall and Coastal Ocean Vision study of cyanobacterial at Santuit Pond on Cape Cod in Massachusetts.
Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat
By: Clement Atzberger, Martine Guérif, Frédéric Baret, Willy Werner
Abstract
Hyperspectral data sets contain useful information for characterizing vegetation canopies not previously available from multi-spectral data sources. However, to make full use of the information content one has to find ways for coping with the strong multi-collinearity in the data.
Comparing the effectiveness of hyperspectral imaging and Raman spectroscopy: a case study on Armenian manuscripts
By: Ian J. Maybury, David Howell, Melissa Terras, Heather Viles
Abstract
There is great practical and scholarly interest in the identification of pigments in works of art. This paper compares the effectiveness of the widely used Raman Spectroscopy (RS), with hyperspectral imaging (HSI), a reflectance imaging technique, to evaluate the reliability of HSI for the identification of pigments in historic works of art and to ascertain if there are any benefits from using HSI or a combination of both.
Comparison of Airborne Hyperspectral Images from the NASA-JPL AVIRIS-NG and a Headwall UAV Imaging System
By: Headwall Photonics
Hyperspectral imaging is an extremely powerful airborne remote sensing tool. The Airborne Visible InfraRed Imaging Spectrometer (AVIRIS) 1 operated by the NASA Jet Propulsion Lab (JPL) has been the standard-bearer for airborne imaging spectrometers since the late 1980s. The next-generation AVIRIS sensor, known as AVIRIS-NG 2, has been flown aboard various manned aircraft since 2010. However, AVIRIS-NG is only attainable by remote sensing agencies with large budgets.
Headwall has developed miniaturized imaging spectrometers that can be manufactured in high volume and at lower cost and can be flown on lightweight unmanned aerial vehicles (UAVs) 4. These sensor payloads and fully integrated systems including UAVs enable small companies and research groups to enjoy the immense power of airborne hyperspectral remote sensing.
This technical note compares the performance of the AVIRIS-NG on a manned aircraft and the Headwall turnkey Co-Aligned VNIR-SWIR imaging spectrometer on a lightweight UAV.
