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A modified differential evolution particle swarm optimization algorithm is then used to identify the complex dust particles and to determine and update the ...
Bibliographic details on Dust Particle Recognition Using ROF Model and Feature Information.
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Dust particle recognition using ROF model and feature information. 2019, Frontiers in Artificial Intelligence and Applications. The micro-analysis about the ...
Apr 15, 2022 · The radiative forcing and spectral fingerprints of dust particles depend on their bulk optical properties, including the extinction coefficient, ...
Missing: Recognition ROF
Here we introduce four types of nanoparticles as potential dust particles in space: amorphous silicate nanoparticles (type S); core/mantle nanoparticles.
Missing: Recognition ROF
Oct 28, 2015 · To obtain suitable model particles, the first step is to generate inhomogeneous particles with varying internal structures by using an algorithm ...
Mar 15, 2024 · The goal of this review is to first document algorithmic assumptions by various satellite retrieval products and models, and identify where there is ...
Mar 1, 2008 · A mathematical model of image artifacts produced by dust particles on lenses has been derived. Machinevision systems often have to work with camera lenses that ...
PDF | A fast and versatile method for classifying dust particles dispersed in the air is presented. The method uses images captured by a simple imaging.
It is more reliable to identify the different structures and fringe features of dust images through particle size distribution detection than to measure other ...
Missing: ROF | Show results with:ROF