sensors-logo

Journal Browser

Journal Browser

Multispectral and Hyperspectral Instrumentation

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: closed (30 November 2017) | Viewed by 34168

Special Issue Editor


E-Mail Website
Guest Editor
Naval Research Laboratory, Remote Sensing Division, 4555 Overlook Ave, SW, Washington, DC 20375, USA
Interests: hyperspectral and polarimetric imaging; bio-optical oceanography
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

These Special Issues concern multispectral and hyperspectral imaging. Both approaches measure the wavelength dependence of the light captured by a sensor, but the nature of the instrument, and sometimes the processing approach, are different. Such work has quantified the idea of using “color” to gather information regarding the environment around us. The human eye allows for the use of color for many things—from determining fruit ripeness, to picking out Mars in the night sky. It has been about 350 years since Newton performed his experiments with prisms, heralding the start of optical spectroscopy; however, the roughly 45 years since the launch of LandSat has seen an enormous explosion in the ability of spectral imaging to impact many diverse fields. Technological advancements in several areas (spectrometers, computer processing, GPS/INS) have reduced the cost and increased the capability of using such data. Now, multispectral and hyperspectral instruments orbit the Earth and other planets, are used in factories and medical facilities, and have both military and forensic uses. Here, we limit our area of interest to the wavelength range of 200–14,000 nm.

As the field is so large, there will be two Special Issues—Part I: “Addresses the extraction of information from data”, and Part II: “Instruments themselves plus any supporting instrumentation or methods”.

The first issue can be found at https://www.mdpi.com/journal/sensors/special_issues/Hyperspectral_Data.

The second issue will be entitled “Multispectral and Hyperspectral Instrumentation.” It will cover the instruments themselves, plus any supporting instrumentation or methods required to make the data useful for the extraction of information. Subjects here would include, but are not limited to, the methods and hardware associated with the instrumentation, calibration, instrument modeling, stray light modeling or correction, illumination approaches, and GPS/INS based geolocation. The second issue will also include papers that are hard to assign to one or the other issue because they cover aspects in both areas.

Dr. Jeffrey H. Bowles
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (5 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

17 pages, 26498 KiB  
Article
A High Throughput Integrated Hyperspectral Imaging and 3D Measurement System
by Huijie Zhao, Lunbao Xu, Shaoguang Shi, Hongzhi Jiang and Da Chen
Sensors 2018, 18(4), 1068; https://doi.org/10.3390/s18041068 - 02 Apr 2018
Cited by 17 | Viewed by 5219
Abstract
Hyperspectral and three-dimensional measurements can obtain the intrinsic physicochemical properties and external geometrical characteristics of objects, respectively. The combination of these two kinds of data can provide new insights into objects, which has gained attention in the fields of agricultural management, plant phenotyping, [...] Read more.
Hyperspectral and three-dimensional measurements can obtain the intrinsic physicochemical properties and external geometrical characteristics of objects, respectively. The combination of these two kinds of data can provide new insights into objects, which has gained attention in the fields of agricultural management, plant phenotyping, cultural heritage conservation, and food production. Currently, a variety of sensors are integrated into a system to collect spectral and morphological information in agriculture. However, previous experiments were usually performed with several commercial devices on a single platform. Inadequate registration and synchronization among instruments often resulted in mismatch between spectral and 3D information of the same target. In addition, using slit-based spectrometers and point-based 3D sensors extends the working hours in farms due to the narrow field of view (FOV). Therefore, we propose a high throughput prototype that combines stereo vision and grating dispersion to simultaneously acquire hyperspectral and 3D information. Furthermore, fiber-reformatting imaging spectrometry (FRIS) is adopted to acquire the hyperspectral images. Test experiments are conducted for the verification of the system accuracy, and vegetation measurements are carried out to demonstrate its feasibility. The proposed system is an improvement in multiple data acquisition and has the potential to improve plant phenotyping. Full article
(This article belongs to the Special Issue Multispectral and Hyperspectral Instrumentation)
Show Figures

Figure 1

11 pages, 5401 KiB  
Article
HPT: A High Spatial Resolution Multispectral Sensor for Microsatellite Remote Sensing
by Junichi Kurihara, Yukihiro Takahashi, Yuji Sakamoto, Toshinori Kuwahara and Kazuya Yoshida
Sensors 2018, 18(2), 619; https://doi.org/10.3390/s18020619 - 18 Feb 2018
Cited by 20 | Viewed by 7152
Abstract
Although nano/microsatellites have great potential as remote sensing platforms, the spatial and spectral resolutions of an optical payload instrument are limited. In this study, a high spatial resolution multispectral sensor, the High-Precision Telescope (HPT), was developed for the RISING-2 microsatellite. The HPT has [...] Read more.
Although nano/microsatellites have great potential as remote sensing platforms, the spatial and spectral resolutions of an optical payload instrument are limited. In this study, a high spatial resolution multispectral sensor, the High-Precision Telescope (HPT), was developed for the RISING-2 microsatellite. The HPT has four image sensors: three in the visible region of the spectrum used for the composition of true color images, and a fourth in the near-infrared region, which employs liquid crystal tunable filter (LCTF) technology for wavelength scanning. Band-to-band image registration methods have also been developed for the HPT and implemented in the image processing procedure. The processed images were compared with other satellite images, and proven to be useful in various remote sensing applications. Thus, LCTF technology can be considered an innovative tool that is suitable for future multi/hyperspectral remote sensing by nano/microsatellites. Full article
(This article belongs to the Special Issue Multispectral and Hyperspectral Instrumentation)
Show Figures

Figure 1

5452 KiB  
Article
A “Skylight” Simulator for HWIL Simulation of Hyperspectral Remote Sensing
by Huijie Zhao, Bolun Cui, Guorui Jia, Xudong Li, Chao Zhang and Xinyang Zhang
Sensors 2017, 17(12), 2829; https://doi.org/10.3390/s17122829 - 06 Dec 2017
Cited by 7 | Viewed by 4262
Abstract
Even though digital simulation technology has been widely used in the last two decades, hardware-in-the-loop (HWIL) simulation is still an indispensable method for spectral uncertainty research of ground targets. However, previous facilities mainly focus on the simulation of panchromatic imaging. Therefore, neither the [...] Read more.
Even though digital simulation technology has been widely used in the last two decades, hardware-in-the-loop (HWIL) simulation is still an indispensable method for spectral uncertainty research of ground targets. However, previous facilities mainly focus on the simulation of panchromatic imaging. Therefore, neither the spectral nor the spatial performance is enough for hyperspectral simulation. To improve the accuracy of illumination simulation, a new dome-like skylight simulator is designed and developed to fit the spatial distribution and spectral characteristics of a real skylight for the wavelength from 350 nm to 2500 nm. The simulator’s performance was tested using a spectroradiometer with different accessories. The spatial uniformity is greater than 0.91. The spectral mismatch decreases to 1/243 of the spectral mismatch of the Imagery Simulation Facility (ISF). The spatial distribution of radiance can be adjusted, and the accuracy of the adjustment is greater than 0.895. The ability of the skylight simulator is also demonstrated by comparing radiometric quantities measured in the skylight simulator with those in a real skylight in Beijing. Full article
(This article belongs to the Special Issue Multispectral and Hyperspectral Instrumentation)
Show Figures

Figure 1

17659 KiB  
Article
Translational Imaging Spectroscopy for Proximal Sensing
by Christian Rogass, Friederike M. Koerting, Christian Mielke, Maximilian Brell, Nina K. Boesche, Maria Bade and Christian Hohmann
Sensors 2017, 17(8), 1857; https://doi.org/10.3390/s17081857 - 11 Aug 2017
Cited by 19 | Viewed by 5534
Abstract
Proximal sensing as the near field counterpart of remote sensing offers a broad variety of applications. Imaging spectroscopy in general and translational laboratory imaging spectroscopy in particular can be utilized for a variety of different research topics. Geoscientific applications require a precise pre-processing [...] Read more.
Proximal sensing as the near field counterpart of remote sensing offers a broad variety of applications. Imaging spectroscopy in general and translational laboratory imaging spectroscopy in particular can be utilized for a variety of different research topics. Geoscientific applications require a precise pre-processing of hyperspectral data cubes to retrieve at-surface reflectance in order to conduct spectral feature-based comparison of unknown sample spectra to known library spectra. A new pre-processing chain called GeoMAP-Trans for at-surface reflectance retrieval is proposed here as an analogue to other algorithms published by the team of authors. It consists of a radiometric, a geometric and a spectral module. Each module consists of several processing steps that are described in detail. The processing chain was adapted to the broadly used HySPEX VNIR/SWIR imaging spectrometer system and tested using geological mineral samples. The performance was subjectively and objectively evaluated using standard artificial image quality metrics and comparative measurements of mineral and Lambertian diffuser standards with standard field and laboratory spectrometers. The proposed algorithm provides highly qualitative results, offers broad applicability through its generic design and might be the first one of its kind to be published. A high radiometric accuracy is achieved by the incorporation of the Reduction of Miscalibration Effects (ROME) framework. The geometric accuracy is higher than 1 μpixel. The critical spectral accuracy was relatively estimated by comparing spectra of standard field spectrometers to those from HySPEX for a Lambertian diffuser. The achieved spectral accuracy is better than 0.02% for the full spectrum and better than 98% for the absorption features. It was empirically shown that point and imaging spectrometers provide different results for non-Lambertian samples due to their different sensing principles, adjacency scattering impacts on the signal and anisotropic surface reflection properties. Full article
(This article belongs to the Special Issue Multispectral and Hyperspectral Instrumentation)
Show Figures

Figure 1

6220 KiB  
Article
Validating MODIS and Sentinel-2 NDVI Products at a Temperate Deciduous Forest Site Using Two Independent Ground-Based Sensors
by Maximilian Lange, Benjamin Dechant, Corinna Rebmann, Michael Vohland, Matthias Cuntz and Daniel Doktor
Sensors 2017, 17(8), 1855; https://doi.org/10.3390/s17081855 - 11 Aug 2017
Cited by 68 | Viewed by 11255
Abstract
Quantifying the accuracy of remote sensing products is a timely endeavor given the rapid increase in Earth observation missions. A validation site for Sentinel-2 products was hence established in central Germany. Automatic multispectral and hyperspectral sensor systems were installed in parallel with an [...] Read more.
Quantifying the accuracy of remote sensing products is a timely endeavor given the rapid increase in Earth observation missions. A validation site for Sentinel-2 products was hence established in central Germany. Automatic multispectral and hyperspectral sensor systems were installed in parallel with an existing eddy covariance flux tower, providing spectral information of the vegetation present at high temporal resolution. Normalized Difference Vegetation Index (NDVI) values from ground-based hyperspectral and multispectral sensors were compared with NDVI products derived from Sentinel-2A and Moderate-resolution Imaging Spectroradiometer (MODIS). The influence of different spatial and temporal resolutions was assessed. High correlations and similar phenological patterns between in situ and satellite-based NDVI time series demonstrated the reliability of satellite-based phenological metrics. Sentinel-2-derived metrics showed better agreement with in situ measurements than MODIS-derived metrics. Dynamic filtering with the best index slope extraction algorithm was nevertheless beneficial for Sentinel-2 NDVI time series despite the availability of quality information from the atmospheric correction procedure. Full article
(This article belongs to the Special Issue Multispectral and Hyperspectral Instrumentation)
Show Figures

Figure 1

Back to TopTop