Denoising of Transient Electromagnetic Data Based on the Minimum Noise Fraction-Deep Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3180433
Abstract: There are many conventional methods that have been applied in transient electromagnetic (TEM) random noise suppression such as stacking-averaging, but when the TEM system works in urban areas with strong noise, these methods are not… read more here.
Keywords: neural network; network; deep neural; noise fraction ... See more keywords
Feature extraction and classification of hyperspectral imaging using minimum noise fraction and deep convolutional neural network
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.32.2.021610
Abstract: Abstract. Remote sensing technology is constantly developing, which has greatly expanded the use of hyperspectral imaging (HSI). In the arena of remote sensing, the classification of HSI has become a challenging topic. The unique properties… read more here.
Keywords: neural network; classification; hyperspectral imaging; convolutional neural ... See more keywords
Minimum noise amplitude deconvolution and its application in repetitive impact detection
Sign Up to like & getrecommendations! Published in 2022 at "Structural Health Monitoring"
DOI: 10.1177/14759217221114527
Abstract: Blind deconvolution (BD) is an effective technology for rotating machinery fault detection because it significantly weakens noise and reduces the interference of the system transmission path. This paper analyses the possible shortcomings of several popular… read more here.
Keywords: minimum noise; amplitude deconvolution; deconvolution; noise amplitude ... See more keywords