Broadband continuous achromatic and super-dispersive metalens in near-infrared band

Currently, there are few studies on the influence of microscale thermal radiation on the equivalent thermal conductivity of microscale porous metal. Therefore, this paper calculated the equivalent thermal conductivity of high-porosity periodic cubic silver frame structures with cell size from 100 nm to 100 µm by using the microscale radiation method. Then, the media radiation characteristics, absorptivity, reflectivity and transmissivity were discussed to explain the phenomenon of the radiative thermal conductivity changes. Furthermore, combined with spectral radiation properties at the different cross-sections and wavelength, the radiative transmission mechanism inside high-porosity periodic cubic frame silver structures was obtained. The results showed that the smaller the cell size, the greater radiative contribution in total equivalent thermal conductivity. Periodic cubic silver frames fluctuate more in the visible band and have better thermal radiation modulation properties in the near infrared band, which is formed by the Surface Plasmon Polariton and Magnetic Polaritons resonance jointly. This work provides design guidance for the application of this kind of periodic microporous metal in the field of thermal utilization and management.

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Design of multi-narrowband metamaterial perfect absorbers in near-infrared band based on resonators asymmetric method and modified resonators stacked method

Optics Communications ◽

10.1016/j.optcom.2018.03.051 ◽

2018 ◽

Vol 420 ◽

pp. 95-103 ◽

Cited By ~ 16

Author(s):

Lei Zhao ◽

Han Liu ◽

Zhihong He ◽

Shikui Dong

Keyword(s):

Near Infrared ◽

Infrared Band ◽

Perfect Absorbers

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Restoration method of sootiness mural images based on dark channel prior and Retinex by bilateral filter

Heritage Science ◽

10.1186/s40494-021-00504-5 ◽

2021 ◽

Vol 9 (1) ◽

Author(s):

Ning Cao ◽

Shuqiang Lyu ◽

Miaole Hou ◽

Wanfu Wang ◽

Zhenhua Gao ◽

...

Keyword(s):

Near Infrared ◽

Environmental Changes ◽

Color Image ◽

Visual Quality ◽

Bilateral Filter ◽

Dark Channel Prior ◽

Infrared Band ◽

Dark Channel ◽

Restoration Method ◽

Pseudo Color

AbstractEnvironmental changes and human activities can cause serious degradation of murals, where sootiness is one of the most common problems of ancient Chinese indoor murals. In order to improve the visual quality of the murals, a restoration method is proposed for sootiness murals based on dark channel prior and Retinex by bilateral filter using hyperspectral imaging technology. First, radiometric correction and denoising through band clipping and minimum noise fraction rotation forward and inverse transform were applied to the hyperspectral data of the sootiness mural to produce its denoised reflectance image. Second, a near-infrared band was selected from the reflectance image and combined with the green and blue visible bands to produce a pseudo color image for the subsequent sootiness removal processing. The near-infrared band is selected because it is better penetrating the sootiness layer to a certain extent comparing to other bands. Third, the sootiness covered on the pseudo color image was preliminarily removed by using the method of dark channel prior and by adjusting the brightness of the image. Finally, the Retinex by bilateral filter was performed on the image to get the final restored image, where the sootiness was removed. The results show that the images restored by the proposed method are superior in variance, average gradient, information entropy and gray scale contrast comparing to the results from the traditional methods of homomorphic filtering and Gaussian stretching. The results also show the highest score in comprehensive evaluation of edges, hue and structure; thus, the method proposed can support more potential studies or sootiness removal in real mural paintings with more detailed information. The method proposed shows strong evidence that it can effectively reduce the influence of sootiness on the moral images with more details that can reveal the original appearance of the mural and improve its visual quality.

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Sensing Characteristics of Near-Infrared Band Based on New Photonic Crystal Fiber

Chinese Journal of Lasers ◽

10.3788/cjl202148.0706001 ◽

2021 ◽

Vol 48 (7) ◽

pp. 0706001

Author(s):

张文 Zhang Wen ◽

白冰冰 Bai Bingbing ◽

张砚曾 Zhang Yanzeng ◽

陈聪 Chen Cong ◽

邵齐元 Shao Qiyuan ◽

...

Keyword(s):

Photonic Crystal ◽

Photonic Crystal Fiber ◽

Near Infrared ◽

Infrared Band ◽

Crystal Fiber ◽

Sensing Characteristics

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SEMICONDUCTING CARBON NANOTUBE PHOTOVOLTAIC PHOTODETECTORS

International Journal of High Speed Electronics and Systems ◽

10.1142/s0129156411006970 ◽

2011 ◽

Vol 20 (03) ◽

pp. 687-695 ◽

Cited By ~ 9

Author(s):

DOMINICK J. BINDL ◽

MICHAEL S. ARNOLD

Keyword(s):

Carbon Nanotubes ◽

Tin Oxide ◽

Indium Tin Oxide ◽

Near Infrared ◽

Series Resistance ◽

Single Walled Carbon Nanotubes ◽

Infrared Band ◽

Device Architecture ◽

Heterojunction Device ◽

Walled Carbon Nanotubes

A photovoltaic photodetector harnessing near infrared band gap absorption by thin films of post-synthetically sorted semiconducting single walled carbon nanotubes ( s -SWCNTs) is described. Peak specific detectivity of 6×1011 Jones at -0.1 V bias at 1210 nm is achieved using a heterojunction device architecture: indium tin oxide/ ca. 5 nm s -SWCNT / 120 nm C60 / 10 nm 2,9-dimethyl-4,7-diphenyl-1,10-phenanthroline (BCP) / Ag. The photodiodes are characterized by a series resistance of 2.9 Ω cm2 and a rectification ratio of 104 at ±1V. These results are expected to guide the exploration of new classes of solution-processable, mechanically flexible, integrable, thin film photovoltaic photodetectors with tunable sensitivity in the visible and infrared spectra based on semiconducting carbon nanotubes.

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Improvement of Atmospheric Correction of Satellite Sentinel-3/OLCI Data for Oceanic Waters in Presence of Sargassum

Remote Sensing ◽

10.3390/rs14020386 ◽

2022 ◽

Vol 14 (2) ◽

pp. 386

Author(s):

Léa Schamberger ◽

Audrey Minghelli ◽

Malik Chami ◽

François Steinmetz

Keyword(s):

Near Infrared ◽

Ocean Color ◽

Atmospheric Correction ◽

Correction Algorithm ◽

Infrared Band ◽

Economic Issues ◽

Optical Signature ◽

Color Data ◽

The Caribbean ◽

Satellite Ocean Color

The invasive species of brown algae Sargassum gathers in large aggregations in the Caribbean Sea, and has done so especially over the last decade. These aggregations wash up on shores and decompose, leading to many socio-economic issues for the population and the coastal ecosystem. Satellite ocean color data sensors such as Sentinel-3/OLCI can be used to detect the presence of Sargassum and estimate its fractional coverage and biomass. The derivation of Sargassum presence and abundance from satellite ocean color data first requires atmospheric correction; however, the atmospheric correction procedure that is commonly used for oceanic waters needs to be adapted when dealing with the occurrence of Sargassum because the non-zero water reflectance in the near infrared band induced by Sargassum optical signature could lead to Sargassum being wrongly identified as aerosols. In this study, this difficulty is overcome by interpolating aerosol and sunglint reflectance between nearby Sargassum-free pixels. The proposed method relies on the local homogeneity of the aerosol reflectance between Sargassum and Sargassum-free areas. The performance of the adapted atmospheric correction algorithm over Sargassum areas is evaluated. The proposed method is demonstrated to result in more plausible aerosol and sunglint reflectances. A reduction of between 75% and 88% of pixels showing a negative water reflectance above 600 nm were noticed after the correction of the several images.

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Forest and land fire smoke detection using GCOM-C data (case study: Pulang Pisau, Central Kalimantan)

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/893/1/012068 ◽

2021 ◽

Vol 893 (1) ◽

pp. 012068

Author(s):

K I N Rahmi ◽

N Febrianti ◽

I Prasasti

Keyword(s):

Near Infrared ◽

Thermal Infrared ◽

Short Wave ◽

Forest Land ◽

Visual Interpretation ◽

Infrared Band ◽

Central Kalimantan ◽

Fire Smoke ◽

Shortwave Infrared

Abstract Forest/land fire give bad impact of heavy smoke on peatland area in Indonesia. Forest/land fire smoke need to be identified the distribution periodically. New satellite of GCOM-C has been launched to monitor climate condition and have visible, near infrared and thermal infrared. This study has objective to identify fire smoke from GCOM-C data. GCOM-C data has wavelength range from 0.38 to 12 μm it covers visible, near infrared, short-wave infrared and thermal infrared. It is relatively similar to MODIS or Himawari-8 images which could identify forest/land fire smoke. The methodology is visual interpretation to detect forest/land fire smoke using near infrared band (VN08), shortwave infrared band (SW03), and thermal bands (T01 and T02). Hotspot data is overlaid with GCOM-C image to represent the location of fire events. Combination of composite RGB image has been applied to detect forest/land fire smoke. GCOM-C image of VN8 bands and combination of thermal band in composite image could be used to detect fire smoke in Pulang Pisau, Central Kalimantan.

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Thermal and multispectral images from Unmanned Aerial Vehicles (UAVs) for water presence detection in temporary streams: first results

10.5194/egusphere-egu21-9546 ◽

2021 ◽

Author(s):

Massimo Micieli ◽

Gianluca Botter ◽

Giuseppe Mendicino ◽

Alfonso Senatore

Keyword(s):

Unmanned Aerial Vehicles ◽

Near Infrared ◽

Infrared Band ◽

Temporary Streams ◽

Water Index ◽

Long Wavelength ◽

Research Activities ◽

Aerial Vehicles ◽

Normalized Difference Water Index ◽

First Results

<p>UAVs (Unmanned Aerial Vehicles) are increasingly used for monitoring river networks with a broad range of purposes. In this contribution, we focus on the use of multispectral sensors, either in the thermal infrared band LWIR (Long-wavelength infrared, 8-15 &#181;m) or in the infrared band NIR (Near-infrared, 0.75-1.4 &#181;m) to map network dynamics in temporary streams. Specifically, we discuss the first results of a set of surveys carried out in 2020 within a small river catchment located in northern Calabria (southern Italy), as part of the research activities of the ERC-funded DyNET project. Preliminary, a rigorous methodology was identified to perform on-site surveys and to process and analyse the acquired images. Experimental results show that the combined use of LWIR and NIR sensors is a suitable solution for detecting water presence in channels characterized by different hydraulic and morphologic conditions. LWIR sensors alone allow one to discriminate water presence only when the thermal contrast with the surrounding environment is high. On the other hand, NIR sensors permit to detect the presence of water in most of the analyzed settings through the estimate of the Normalized Difference Water Index (NDWI). However, NIR sensors can be misled in case of shallow water depth, due to the NIR radiation emitted by the riverbed merging with that of the water. Overall, the study demonstrates that a combined LWIR/NIR approach allows addressing a broader range of conditions. Moreover, the information provided can be further enhanced by combining it with geomorphologic information and basic hydraulic concepts.</p>

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