Results 1 to 10 of about 636 (172)

Appraisal of Low-Cost Pushbroom Hyper-Spectral Sensor Systems for Material Classification in Reflectance [PDF]

open access: yesSensors, 2021
Near infrared (NIR) remote sensing has applications in vegetation analysis as well as geological investigations. For extra-terrestrial applications, this is particularly relevant to Moon, Mars and asteroid exploration, where minerals exhibiting spectral ...
Michael Ryan   +2 more
exaly   +4 more sources

A Generic Pushbroom Sensor Model for Planetary Photogrammetry [PDF]

open access: yesEarth and Space Science, 2020
Different imaging instruments are designed in the planetary exploration missions, which require respective photogrammetric software modules to support the geometric processing of planetary remote sensing images.
Xun Geng, Chaozhen Lan, Qing Xu
exaly   +3 more sources

Prediction of Honeydew Contaminations on Cotton Samples by In-Line UV Hyperspectral Imaging [PDF]

open access: yesSensors, 2022
UV hyperspectral imaging (225 nm–410 nm) was used to identify and quantify the honeydew content of real cotton samples. Honeydew contamination causes losses of millions of dollars annually.
Mohammad Al Ktash   +6 more
doaj   +2 more sources

Rapid Detection of Cleanliness on Direct Bonded Copper Substrate by Using UV Hyperspectral Imaging [PDF]

open access: yesSensors
In the manufacturing process of electrical devices, ensuring the cleanliness of technical surfaces, such as direct bonded copper substrates, is crucial. An in-line monitoring system for quality checking must provide sufficiently resolved lateral data in ...
Mona Knoblich   +11 more
doaj   +2 more sources

A Vicarious Technique for Understanding and Diagnosing Hyperspectral Spatial Misregistration [PDF]

open access: yesSensors, 2023
Pushbroom hyperspectral imaging (HSI) systems intrinsically measure our surroundings by leveraging 1D spatial imaging, where each pixel contains a unique spectrum of the observed materials.
David N. Conran, Emmett J. Ientilucci
doaj   +2 more sources

A Linear Regression Approach for Best Scanline Determination in the Object to Image Space Transformation Using Pushbroom Images [PDF]

open access: yesSensors
The use of linear array pushbroom images presents a new challenge in photogrammetric applications when it comes to transforming object coordinates to image coordinates. To address this issue, the Best Scanline Search/Determination (BSS/BSD) field focuses
Seyede Shahrzad Ahooei Nezhad   +3 more
doaj   +2 more sources

Reduction of Radiometric Miscalibration—Applications to Pushbroom Sensors [PDF]

open access: yesSensors, 2011
The analysis of hyperspectral images is an important task in Remote Sensing. Foregoing radiometric calibration results in the assignment of incident electromagnetic radiation to digital numbers and reduces the striping caused by slightly different ...
Sigrid Roessner   +9 more
doaj   +5 more sources

Pushbroom Hyperspectral Data Orientation by Combining Feature-Based and Area-Based Co-Registration Techniques

open access: yesRemote Sensing, 2018
Direct georeferencing of airborne pushbroom scanner data usually suffers from the limited precision of navigation sensors onboard of the aircraft. The bundle adjustment of images and orientation parameters, used to perform geocorrection of frame images ...
Kevin Barbieux
exaly   +3 more sources

Reduction of Uncorrelated Striping Noise—Applications for Hyperspectral Pushbroom Acquisitions

open access: yesRemote Sensing, 2014
Hyperspectral images are of increasing importance in remote sensing applications. Imaging spectrometers provide semi-continuous spectra that can be used for physics based surface cover material identification and quantification.
Angela Lausch   +2 more
exaly   +3 more sources

Design and Optimization of Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces Based on Conditional Multi‐Task Deep Learning [PDF]

open access: yesAdvanced Science, Volume 13, Issue 24, 27 April 2026.
A conditional multi‐task deep learning framework is developed for designing and optimizing Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces (FHPEMs). This framework achieves joint spectro‐polarimetric learning and unified forward–inverse design.
Chenjie Gong   +9 more
wiley   +2 more sources

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