Urban Road Materials Identification using Narrow Near Infrared Vision System

2017 ◽  
Vol 7 (3) ◽  
pp. 1171
Author(s):  
Heru Purnomo Ipung ◽  
Handayani Tjandrasa
Keyword(s):  
Near Infrared ◽  
Infrared Imaging ◽  
Narrow Band ◽  
Vision System ◽  
Optical Filter ◽  
Urban Road ◽  
Infrared Spectral ◽  
Road Materials ◽  
Spectral Patterns ◽  
Infrared Vision

<p>An urban road materials vision system using narrow band near infrared imaging indexes were proposed. This proposed imaging indexes were enhancement for previous work on autonomous multispectral road sensing method. Each urban road material has different near infrared spectral patterns which is as the base of its spectral identification. The new proposed imaging indexes, which using similar formula of NDVI, was normalized with narrow band near infrared spectrum range of 720nm to 1000nm of wavelength, were used to identify concretes, aggregates/sands/rocks, clay, natural dry fibers and bitumen/asphalt that make up most of urban road materials. This paper proposes imaging indexes evaluation from experiment results to identify those urban road materials. There were seven narrow band optical filter sets with the center spectrum at 710nm, 730nm, 750nm, 800nm, 870nm, 905nm and 970nm. Normalization band used was 720nm using high pass optical filter. The proposed multi-spectral imaging indexes were able to show the potential to classify the selected urban road materials, another approach may need to clearly distinguish between concrete and aggregates. The comparison to the previous imaging indexes (NDVI, NDGR, NDBR) were presented that used for urban road materials identification.</p>

Experiment of Multispectral Sensing Sensor for Urban Road Materials in Outdoor Environment

2019 ◽  
Vol 2 (3) ◽  
pp. 191-199
Author(s):  
Matthew Rio Darmawan ◽  
Heru Purnomo Ipung ◽  
Maulahikmah Galinium
Keyword(s):  
Naive Bayes ◽  
Narrow Band ◽  
Optical Filter ◽  
Natural Fibre ◽  
Naïve Bayes ◽  
Outdoor Environment ◽  
Bayes Classifier ◽  
Urban Road ◽  
Road Materials ◽  
Multispectral Sensing

This research is the first attempt to conduct several experiments of multispectralsensing sensor for urban road materials in outdoor environment. This research aims to classifyfive urban road materials that are aggregates, asphalts, concrete, clay, natural fibre includingvegetation and water. There were 9 cameras in the multispectral sensing sensor. Seven cameraattached with narrow band optical filter with the centre spectrum at 710nm, 730nm, 750nm,800nm, 870nm, 905nm and 950nm. One camera attached with 720 nm normalization band useshigh pass optical filter. Another camera attached with UV/IR cut optical filter works as a RGBcamera. The images results, that have been taken, are processed in MATLAB to get the imagingindex results from the multispectral system. Naïve Bayes classifier is used in Weka to classifythe urban road materials with vegetation and water. The first classification and testing thatclassifies five urban road materials with vegetation and water have accuracy results ranged from0 % to 32% while the accuracy results without vegetation and water have better accuracy resultsranged from 0 % to 55 %.

scholarly journals Photometric Normalization of Chang’e-4 Visible and Near-Infrared Imaging Spectrometer Datasets: A Combined Study of In-Situ and Laboratory Spectral Measurements

2020 ◽  
Vol 12 (19) ◽  
pp. 3211
Author(s):  
Xiaobin Qi ◽  
Zongcheng Ling ◽  
Jiang Zhang ◽  
Jian Chen ◽  
Haijun Cao ◽  
...  
Keyword(s):  
Near Infrared ◽  
Infrared Imaging ◽  
Landing Site ◽  
Near Infrared Imaging ◽  
Imaging Spectrometer ◽  
Quantitative Mineralogy ◽  
Infrared Spectral ◽  
Phase Functions ◽  
Phase Angles

Until 29 May 2020, the Visible and Near-Infrared Imaging Spectrometer (VNIS) onboard the Yutu-2 Rover of the Chang’e-4 (CE-4) has acquired 96 high-resolution surface in-situ imaging spectra. These spectra were acquired under different illumination conditions, thus photometric normalization should be conducted to correct the introduced albedo differences before deriving the quantitative mineralogy for accurate geologic interpretations. In this study, a Lommel–Seeliger (LS) model and Hapke radiative transfer (Hapke) model were used and empirical phase functions of the LS model were derived. The values of these derived phase functions exhibit declining trends with the increase in phase angles and the opposition effect and phase reddening effect were observed. Then, we discovered from in-situ and laboratory measurements that the shadows caused by surface roughness have significant impacts on reflectance spectra and proper corrections were introduced. The validations of different phase functions showed that the maximum discrepancy at 1500 nm of spectra corrected by the LS model was less (~3.7%) than that by the Hapke model (~7.4%). This is the first time that empirical phase functions have been derived for a wavelength from 450 to 2395 nm using in-situ visible and near-infrared spectral datasets. Generally, photometrically normalized spectra exhibit smaller spectral slopes, lower FeO contents and larger optical maturity parameter (OMAT) than spectra without correction. In addition, the band centers of the 1 and 2 μm absorption features of spectra after photometric normalization exhibit a more concentrated distribution, indicating the compositional homogeneity of soils at the CE-4 landing site.

scholarly journals Classification by Photoelectric Measurements of Molecular Bands: Current Status and Future Prospects

1979 ◽  
Vol 47 ◽  
pp. 347-373
Author(s):  
Robert F. Wing
Keyword(s):  
Near Infrared ◽  
Narrow Band ◽  
Current Status ◽  
Two Dimensional ◽  
Future Prospects ◽  
Late Type ◽  
Classification Technique ◽  
Cool Stars ◽  
Infrared Spectral ◽  
Photoelectric Measurements

AbstractAs a classification technique, photoelectric narrow-band photometry is especially effective in the case of late-type spectra, in which molecular bands furnish the most sensitive criteria. Measurements of molecular bands with bandpasses of about 50 Å can be made very efficiently, and for normal stars they can be calibrated in terms of temperature and luminosity. In the case of normal late-type giants and supergiants, two-dimensional classifications can be obtained from measurements of TiO and CN; for very cool giants and for dwarfs it is useful siso to measure VO and CaH, respectively. All these molecules have bands in the red and near-infrared spectral regions, where cool stars are relatively bright and where photometric accuracy is highest.

Surface Defects Detection of Red Jujube Based on Near-Infrared Vision System

2013 ◽  
Vol 303-306 ◽  
pp. 573-577
Author(s):  
Min Xu ◽  
Yue Ma ◽  
Shuai Chen
Keyword(s):  
Machine Vision ◽  
Near Infrared ◽  
Surface Defects ◽  
Vision System ◽  
Infrared Image ◽  
Machine Vision System ◽  
Test Results ◽  
Quality Factors ◽  
Important Quality ◽  
Infrared Vision

Quality evaluation of agricultural and food products is important for processing, inventory control, and marketing. Fruit surface defects are important quality factors for the jujube industry, especially for high quality jujubes such as Xinjiang red jujube. This paper presents the development and test results of a machine vision system for automatic jujube surface defects detection. Unlike other near-infrared spectrometric approaches, the developed machine vision system uses reflective near-infrared image to evaluate jujube quality by analyzing two-dimensional images. Near-infrared image, vision algorithms and a variety of operational details of the system, including cameras, optics, illumination, and fruit carrier are presented. The complete machine vision system has been built, and the experimental results show that the designed machine vision system is feasible to detect the defects of jujubes.

Quantitative Near Infrared Imaging of Skin Flaps

2008 ◽  
Author(s):  
Anthony J. Durkin ◽  
Jae G. Kim ◽  
David J. Cuccia
Keyword(s):  
Near Infrared ◽  
Infrared Imaging ◽  
Imaging Modality ◽  
Skin Flap ◽  
Spectral Imaging ◽  
Great Promise ◽  
Wide Field ◽  
Skin Flaps ◽  
Infrared Spectral

We present a wide-field, near infrared spectral imaging modality called modulated imaging (MI) that shows great promise for quantitatively imaging superficial (1–5 mm depth) tissues. We have applied this method to a dorsal pedicle skin flap model to determine in-vivo local concentrations of oxy- and deoxy-hemoglobin and water.

Near-infrared vision system for monitoring arc welding processes

2014 ◽  
Vol 29 (3) ◽  
pp. 187-196 ◽  
Author(s):  
Carolina Pimenta Mota ◽  
Marcus Vinícius Ribeiro Machado ◽  
Roberto Mendes Finzi Neto ◽  
Louriel Oliveira Vilarinho
Keyword(s):  
Arc Welding ◽  
Near Infrared ◽  
Vision System ◽  
Infrared Vision ◽  
Welding Processes
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