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.
Seeing More with Hyperspectral Imaging
By: Henry Canaday
Abstract
The recent selection of a hyperspectral imaging (HSI) sensor for the Senior Year Electro-Optical Reconnaissance Sensor platform, used on the Air Force U-2 Dragon Lady for very high-altitude reconnaissance missions, has underscored the growing importance of that type of sensing technology.
Spectral Calibration of the MethaneAIR Instrument
By: Carly Staebell, Kang Sun, Jenna Samra, Jonathan Franklin, Christopher Chan Miller, Xiong Liu, Eamon Conway, Kelly Chance, Scott Milligan, Steven Wofsy
Abstract
MethaneAIR is the airborne simulator of MethaneSAT, an area-mapping satellite currently under development with the goal of locating and quantifying large anthropogenic CH4 point sources as well as diffuse emissions at the spatial scale of an oil and gas basin. Built to closely replicate the forthcoming satellite, MethaneAIR consists of two imaging spectrometers. One detects CH4 and CO2 absorption around 1.65 and 1.61 µm, respectively, while the other constrains the optical path in the atmosphere by detecting O2 absorption near 1.27 µm.
Stray light characterization in a high-resolution imaging spectrometer designed for solar-induced fluorescence
By: Loren P. Albert, K. C. Cushman, David W. Allen, Yuqin Zong, Luis Alonso, James R. Kellner
Abstract
New commercial-off-the-shelf imaging spectrometers promise the combination of high spatial and spectral resolution needed to retrieve solar induced fluorescence (SIF). Imaging at multiple wavelengths for individual plants and even individual leaves from low-altitude airborne or ground-based platforms has applications in agriculture and carbon-cycle science.
Study on the Application of an Automatic Hyperspectral Scanning System to Investigate Chinese Paintings
By: Li Guanghua, Chen Yao, Duan Peiquan, Qu Liang, Sun Xuejian, Zhang Hongming, Lei Yong
An automated hyperspectral scanning system including Headwall VNIR and SWIR systems (400 to 2500 nm) was built for large scale artwork by the Beijing Palace Museum in collaboration with the Aerospace Information Research Institute, Chinese Academy of Sciences.
The design and the development of a hyperspectral unmanned aircraft mapping system for the detection of invasive plants
By: Remy L. Dehaan, Leslie A. Weston, Rod Rumbachs
Abstract
Cost-effective tools for rapidly identifying the spatial distribution of invasive plants in natural and managed landscapes are needed by land managers across the world to identify and monitor the spread of weeds. This paper describes a low-cost unmanned aircraft system (UAS) designed for the rapid acquisition of hyperspectral image data.
Towards non-contact pollution monitoring in sewers with hyperspectral imaging
By: Lechevallier P., Villez, K., Felsheim C., Rieckermann J.
Abstract
Hyperspectral imaging is a promising technology for non-contact monitoring of water quality in raw wastewater.
Tracing Carbonate Form, Serpentinization, and Bio Materials With Micro-, Meso-Scale IR Img Spectro in a Mars Analog
By: Ellen K. Leask, Bethany L. Ehlmann, Rebecca N. Greenberger, Patrick Pinet, Yves Daydou, Georges Ceuleneer, Peter Kelemen
Abstract
Meso-to micro-scale imaging spectroscopy identifies and maps carbonates, serpentine, and other hydrothermal phases in the Oman ophiolite
Pigmentation from multiple types of biological materials including mats in travertine springs are distinguished even in shallow waters
Detection thresholds of carbonate and serpentine when mixed can be >20area%, which has implications for interpretation of planetary data
UAVs, Hyperspectral Remote Sensing, and Machine Learning Revolutionizing Reef Monitoring
By: Mark Parsons, Dmitry Bratanov, Kevin J. Gaston, Felipe Gonzalez
Abstract
Recent advances in unmanned aerial system (UAS) sensed imagery, sensor quality/size, and geospatial image processing can enable UASs to rapidly and continually monitor coral reefs, to determine the type of coral and signs of coral bleaching. This paper describes an unmanned aerial vehicle (UAV) remote sensing methodology to increase the efficiency and accuracy of existing surveillance practices. The methodology uses a UAV integrated with advanced digital hyperspectral, ultra HD colour (RGB) sensors, and machine learning algorithms.
