109 skills found · Page 1 of 4
FuSiry / OpenSAAiming at the common training datsets split, spectrum preprocessing, wavelength select and calibration models algorithm involved in the spectral analysis process, a complete algorithm library is established, which is named opensa (openspectrum analysis).
pksvision / Deep WaveNet Underwater Image RestorationWavelength-based Attributed Deep Neural Network for Underwater Image Restoration
Autostronomy / AstroPhotA fast, flexible, full featured, and differentiable astronomical image 2D forward modelling tool for precise parallel parametric multi-wavelength/epoch photometry
cynicaloptimist / LongwaveReal-time online adaptation of the Wavelength party game
FuSiry / Wavelength SelectionWavelength selection in spectroscopy
ACCarnall / SpectResSpectRes is a Python module which efficiently resamples spectra and their associated uncertainties onto an arbitrary wavelength grid. Read the documentation at
sparkfun / SparkFun AS7265x Arduino LibraryAn Arduino library for the trifecta of spectral sensors covering 18 discrete wavelengths from NIR to UV.
slowe / ChromoscopeChromoscope lets you explore our Galaxy (the Milky Way) and the distant Universe in a range of wavelengths from X-rays to the longest radio waves.
chris48s / V8r✔️ A command-line JSON, YAML and TOML validator that's on your wavelength
debasis-dotcom / Ship Detection From Satellite Images Using YOLOV4Ship detection from remote sensing imagery is a crucial application for maritime security which includes among others traffic surveillance, protection against illegal fisheries, oil discharge control and sea pollution monitoring. This is typically done through the use of an Automated Identification System (AIS), which uses VHF radio frequencies to wirelessly broadcast the ships location, destination and identity to nearby receiver devices on other ships and land-based systems. AIS are very effective at monitoring ships which are legally required to install a VHF transponder, but fail to detect those which are not, and those which disconnect their transponder. So how do you detect these uncooperative ships? This is where satellite imagery can help. Synthetic Aperture Radar (SAR) imagery uses radio waves to image the Earth’s surface. Unlike optical imagery, the wavelengths which the instruments use are not affected by the time of day or meteorological conditions, enabling imagery to be obtained day or night, with cloudy, or clear skies. Satellites are collecting these images which could be used to make algorithms for ship detection and segmentation.
sparkfun / Qwiic Spectral Sensor AS7265xA trifecta of spectral sensors covering 18 discrete wavelengths from NIR to UV.
YihanWangAstro / VegasAfterglowHigh-performance C++ framework for afterglow modeling with Python bindings. Features fast multi-wavelength light curve generation, MCMC parameter inference, and advanced physics models including shock dynamics, radiation mechanisms, and structured jets. Designed for computational efficiency and scientific workflow integration.
mohitkumarahuja / Underwater Image Enhancement By Wavelength Compensation And DehazingACQUIRING clear images in underwater environments is an important issue in ocean engineering. The quality of underwater images plays a pivotal role in scientific missions such as monitoring sea life, taking census of populations, and assessing geological or biological environments. Capturing images underwater is challenging, mostly due to haze caused by light that is reflected from a surface and is deflected and scattered by water particles, and colour change due to varying degrees of light attenuation for different wavelengths. Light scattering and colour change result in contrast loss and colour deviation in images acquired underwater.
afourmy / SwapA Solver for the Wavelength Assignment Problem (RWA) in WDM networks
GaudiLabs / 3DFiberSpectrometerFully 3D printed fibre spectrometer. The spectrometer is a scientific instrument used to separate and measure components of light. The optical fibre guides the light into the spectrometer where the wavelengths of the light are separated by a diffraction grating. A tiny USB camera sends an image of the spectrum to a computer or even a smart phone (via OTG cable). On the computer you can see the rainbow pattern and analyze the intensity of light as a function of wavelength.
abhilash12iec002 / Penetration Depth Evaluation Of L And S Band SAR SignalsWe study the functional relationship between the dielectric constant of soil-water mixture and penetration depth of microwave signals into the ground at different frequency (L&S) band and incidence angles. Penetration depth of microwave signals into the ground depends on the incidence angle and wavelength of radar pulses and also on the soil properties such as moisture content and textural composition. It has been observed that the longer wavelengths have higher penetration in the soil but the penetration capability decreases with increasing dielectric behaviour of the soil. Moisture content in the soil can significantly increase its dielectric constant. Various empirical models have been proposed that evaluate the dielectric behaviour of soil-water mixture as a function of moisture content and texture of the soil. In this analysis we have used two such empirical models, the Dobson model and the Hallikainen model, to calculate the penetration depth at L- and C-band in soil and compared their results. We found that both of these models give different penetration depth and show different sensitivity towards the soil composition. Hallikainen model is more sensitive to soil composition as compared to Dobson model. Finally, we explore the penetration depth at different incidence angle for the proposed L- and S-band sensor of upcoming NASA-ISRO Synthetic Aperture Radar (NISAR) mission by using Hallikainen empirical model. We found that the soil penetration depth of SAR signals into the ground decreases with the increase in soil moisture content, incident angle and frequency. References [1] A. Singh, G. K. Meena, S. Kumar and K. Gaurav, "Evaluation of the Penetration Depth of L- and S-Band (NISAR mission) Microwave SAR Signals into Ground," 2019 URSI Asia-Pacific Radio Science Conference (AP-RASC), New Delhi, India, 2019, pp. 1-1. doi: 10.23919/URSIAP-RASC.2019.8738217 keywords: {Synthetic aperture radar;Dielectrics;Moisture;Soil moisture;Sensors;Remote sensing}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8738217&isnumber=8738126 [2] Singh, A., Meena, G. K., Kumar, S., and Gaurav, K.: ANALYSIS OF THE EFFECT OF INCIDENCE ANGLE AND MOISTURE CONTENT ON THE PENETRATION DEPTH OF L- AND S-BAND SAR SIGNALS INTO THE GROUND SURFACE, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5, 197-202, https://doi.org/10.5194/isprs-annals-IV-5-197-2018, 2018. [3] ABHILASH SINGH (2019). Penetration depth evaluation at L-and S-band SAR signals (https://www.mathworks.com/matlabcentral/fileexchange/73040-penetration-depth-evaluation-at-l-and-s-band-sar-signals), MATLAB Central File Exchange. Retrieved October 19, 2019.
gillett-hernandez / Rust PathtracerWavelength aware path tracer written in rust
colorjs / Color SpectrumConvert set of magnitudes to a color
sarthaksharma27 / WavelengthRecord remote conversation in studio quality!
kaushik4444 / Remote Photoplethysmography To Monitor Human Cardiac Activities Using Commercial WebcamsRemote photoplethysmography (rPPG) is a contactless method to monitor human cardiac activities by detecting the pulse-induced subtle color variations on the human skin surface using a multi-wavelength RGB camera. By measuring the variance of red, green, and blue light reflection changes from the skin, as the contrast between specular reflection and diffused reflection.
