Results 61 to 70 of about 61,584 (299)

SeaThru-NeRF: Neural Radiance Fields in Scattering Media [PDF]

open access: yesComputer Vision and Pattern Recognition, 2023
Research on neural radiance fields (NeRFs) for novel view generation is exploding with new models and extensions. However, a question that remains unanswered is what happens in underwater or foggy scenes where the medium strongly influences the ...
Deborah Levy   +6 more
semanticscholar   +1 more source

Recalibration of over 35 Years of Infrared and Water Vapor Channel Radiances of the JMA Geostationary Satellites

open access: yesRemote Sensing, 2019
Infrared sounding measurements of the Infrared Atmospheric Sounding Interferometer (IASI), Atmospheric Infrared Sounder (AIRS), and High-resolution Infrared Radiation Sounder/2 (HIRS/2) instruments are used to recalibrate infrared (IR; ~11 µm ...
Tasuku Tabata   +4 more
doaj   +1 more source

Identifying Radiation Absorption and Creating Shadow on the Body of Pigeon Towers in the Villages of Isfahan and Tabriz [PDF]

open access: yesمسکن و محیط روستا, 2021
In most parts of our country, especially the two hot and dry and cold and dry climates, there have been pigeon towers with different shapes and forms for keeping and breeding pigeons. Circular or square in plan, they are made of clay and brick.
Tohid Shiri, Kourosh Momeni
doaj  

Initial Performance Analysis of the At-Altitude Radiance Ratio Method for Reflectance Conversion of Hyperspectral Remote Sensing Data

open access: yesSensors, 2022
In remote sensing, the conversion of at-sensor radiance to surface reflectance for each pixel in a scene is an essential component of many analysis tasks.
Luke J. R. DeCoffe   +5 more
doaj   +1 more source

Direct Reflectance Measurements from Drones: Sensor Absolute Radiometric Calibration and System Tests for Forest Reflectance Characterization

open access: yesSensors, 2018
Drone-based remote sensing has evolved rapidly in recent years. Miniaturized hyperspectral imaging sensors are becoming more common as they provide more abundant information of the object compared to traditional cameras.
Teemu Hakala   +10 more
doaj   +1 more source

Machine learning estimation of tissue optical properties

open access: yesScientific Reports, 2021
Dynamic, in vivo measurement of the optical properties of biological tissues is still an elusive and critically important problem. Here we develop a technique for inverting a Monte Carlo simulation to extract tissue optical properties from the ...
Brett H. Hokr, Joel N. Bixler
doaj   +1 more source

Infrared Multispectral Radiation Temperature Measurement Based on PCA-ELM

open access: yesShanghai Jiaotong Daxue xuebao, 2021
In the case of unknown target emissivity, an infrared multispectral radiation temperature measurement method based on principal component analysis (PCA) and extreme learning machine (ELM) is established.
XI Jianhui, JIANG Han, CHEN Bo, FU Li
doaj   +1 more source

PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification [PDF]

open access: yesInternational Conference on Learning Representations, 2023
Existing approaches to system identification (estimating the physical parameters of an object) from videos assume known object geometries. This precludes their applicability in a vast majority of scenes where object geometries are complex or unknown.
Xuan Li   +6 more
semanticscholar   +1 more source

Using Ground Targets to Validate S-NPP VIIRS Day-Night Band Calibration

open access: yesRemote Sensing, 2016
In this study, the observations from S-NPP VIIRS Day-Night band (DNB) and Moderate resolution bands (M bands) of Libya 4 and Dome C over the first four years of the mission are used to assess the DNB low gain calibration stability.
Xuexia Chen   +5 more
doaj   +1 more source

Cirrus Cloud Identification from Airborne Far-Infrared and Mid-Infrared Spectra

open access: yesRemote Sensing, 2020
Airborne interferometric data, obtained from the Cirrus Coupled Cloud-Radiation Experiment (CIRCCREX) and from the PiknMix-F field campaign, are used to test the ability of a machine learning cloud identification and classification algorithm (CIC).
Davide Magurno   +10 more
doaj   +1 more source

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