Backscattering properties of topographic targets in the visible, shortwave infrared, and mid-infrared spectral ranges for hard-target lidars

Basistyy, Roman; Genoud, Adrien P.; Thomas, Barry A.

doi:10.1364/ao.57.006990

Cited by 8 publications

(3 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, the overall performance of the instrument greatly depends on the optical properties of the backscattering target [114,115]. Most recently, backscattering properties and hemispherical reflectance of some common topographic targets have been measured in the visible, NIR, and MIR spectral ranges [116], which is useful for optimizing active standoff TDLAS detection and DIAL with hard-target, as well as for increasing their overall efficiency. Natural gas leak detection in the pipeline has been the most widely reported application by using this TDLAS technique.…”

Section: Tdlas With Non-cooperative Targetmentioning

confidence: 99%

Standoff Chemical Detection Using Laser Absorption Spectroscopy: A Review

et al. 2020

Remote Sensing

View full text Add to dashboard Cite

Remote chemical detection in the atmosphere or some specific space has always been of great interest in many applications for environmental protection and safety. Laser absorption spectroscopy (LAS) is a highly desirable technology, benefiting from high measurement sensitivity, improved spectral selectivity or resolution, fast response and capability of good spatial resolution, multi-species and standoff detection with a non-cooperative target. Numerous LAS-based standoff detection techniques have seen rapid development recently and are reviewed herein, including differential absorption LiDAR, tunable laser absorption spectroscopy, laser photoacoustic spectroscopy, dual comb spectroscopy, laser heterodyne radiometry and active coherent laser absorption spectroscopy. An update of the current status of these various methods is presented, covering their principles, system compositions, features, developments and applications for standoff chemical detection over the last decade. In addition, a performance comparison together with the challenges and opportunities analysis is presented that describes the broad LAS-based techniques within the framework of remote sensing research and their directions of development for meeting potential practical use.

show abstract

Section: Tdlas With Non-cooperative Targetmentioning

confidence: 99%

Standoff Chemical Detection Using Laser Absorption Spectroscopy: A Review

et al. 2020

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Angle dependent material reflectance as considered in the presented lidar modelling approach have been subject to previous studies. For example, Reference [18] measured angle dependent backscattering properties and hemispherical reflectance of maple wood, red brick, concrete brick, and asphalt in a laboratory setup in the visible (488 nm), near-infrared (1320 nm), and mid-infrared (7600 nm) spectral ranges. To be able to collect relevant reflectance measurements of materials and objects that cannot be easily brought into a laboratory, we introduce a new portable measurement device for collecting angle dependent reflectance values R λ in % relative to Lambertian targets at a wavelength of λ = 945 nm, which is very close to the wavelength of most lidar types.…”

Section: Ground-truth Sensor Outputmentioning

confidence: 99%

Automotive Lidar Modelling Approach Based on Material Properties and Lidar Capabilities

Muckenhuber

Holzer

Bockaj

2020

Sensors

View full text Add to dashboard Cite

Development and validation of reliable environment perception systems for automated driving functions requires the extension of conventional physical test drives with simulations in virtual test environments. In such a virtual test environment, a perception sensor is replaced by a sensor model. A major challenge for state-of-the-art sensor models is to represent the large variety of material properties of the surrounding objects in a realistic manner. Since lidar sensors are considered to play an essential role for upcoming automated vehicles, this paper presents a new lidar modelling approach that takes material properties and corresponding lidar capabilities into account. The considered material property is the incidence angle dependent reflectance of the illuminated material in the infrared spectrum and the considered lidar property its capability to detect a material with a certain reflectance up to a certain range. A new material classification for lidar modelling in the automotive context is suggested, distinguishing between 7 material classes and 23 subclasses. To measure angle dependent reflectance in the infrared spectrum, a new measurement device based on a time of flight camera is introduced and calibrated using Lambertian targets with defined reflectance values at 10 % , 50 % , and 95 % . Reflectance measurements of 9 material subclasses are presented and 488 spectra from the NASA ECOSTRESS library are considered to evaluate the new measurement device. The parametrisation of the lidar capabilities is illustrated by presenting a lidar measurement campaign with a new Infineon lidar prototype and relevant data from 12 common lidar types.

show abstract

“…Nonetheless, microstructures can alter infrared spectral emissivity [44] as well as angular emissivity [45]. In addition, a measure of surface roughness, which determines the specularity, depends on the wavelength of light in question [46]. Infrared waves do not resolve the smallest structures and also experience a steeper gradient of refractive index [39] within a structured surface, with the result that specularity increases towards infrared wavelengths [47][48][49].…”

Section: Introductionmentioning

confidence: 99%

Potential for identification of wild night-flying moths by remote infrared microscopy

Seinsche

Jansson

et al. 2022

J. R. Soc. Interface.

View full text Add to dashboard Cite

There are hundreds of thousands of moth species with crucial ecological roles that are often obscured by their nocturnal lifestyles. The pigmentation and appearance of moths are dominated by cryptic diffuse shades of brown. In this study, 82 specimens representing 26 moth species were analysed using infrared polarimetric hyperspectral imaging in the range of 0.95–2.5 µm. Contrary to previous studies, we demonstrate that since infrared light does not resolve the surface roughness, wings appear glossy and specular at longer wavelengths. Such properties provide unique reflectance spectra between species. The reflectance of the majority of our species could be explained by comprehensive models, and a complete parametrization of the spectral, polarimetric and angular optical properties was reduced to just 11 parameters with physical units. These parameters are complementary and, compared with the within-species variation, were significantly distinct between species. Counterintuitively to the aperture-limited resolution criterion, we could deduce microscopic features along the surface from their infrared properties. These features were confirmed by electron microscopy. Finally, we show how our findings could greatly enhance opportunities for remote identification of free-flying moth species, and we hypothesize that such flat specular wing targets could be expected to be sensed over considerable distances.

show abstract

Backscattering properties of topographic targets in the visible, shortwave infrared, and mid-infrared spectral ranges for hard-target lidars

Cited by 8 publications

References 23 publications

Standoff Chemical Detection Using Laser Absorption Spectroscopy: A Review

Standoff Chemical Detection Using Laser Absorption Spectroscopy: A Review

Automotive Lidar Modelling Approach Based on Material Properties and Lidar Capabilities

Potential for identification of wild night-flying moths by remote infrared microscopy

Contact Info

Product

Resources

About