A Compact Convolutional Neural Network Augmented with Multiscale Feature Extraction of Acquired Monitoring Data for Mechanical Intelligent Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Manufacturing Systems"
DOI: 10.1016/j.jmsy.2020.04.016
Abstract: Abstract Considering all the monitoring data of bearings until failure, very few data are acquired when the bearings are faulty. Such circumstance leads to small faulty sample problem when an intelligent fault diagnosis method is… read more here.
Keywords: compact convolutional; multiscale feature; network; convolutional neural ... See more keywords
Gaussian Pyramid Based Multiscale Feature Fusion for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2018.2856741
Abstract: In this paper, we propose a segmented principal component analysis (SPCA) and Gaussian pyramid decomposition based multiscale feature fusion method for the classification of hyperspectral images. First, considering the band-to-band cross correlations of objects, the SPCA… read more here.
Keywords: classification; image; multiscale feature; based multiscale ... See more keywords
A Multiscale Feature Fusion Method for Automatic Detection of Eggs From Two Pomacea Spp. In UAV Aerial Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3108045
Abstract: The widespread Pomacea canaliculata and Pomacea maculata in North America and Asia have caused significant adverse effects on the local ecological environment and residents’ health. Timely knowledge of the distribution of eggs from the two… read more here.
Keywords: pomacea italic; eggs two; italic pomacea; multiscale feature ... See more keywords
AMFAN: Adaptive Multiscale Feature Attention Network for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3193488
Abstract: Recently, convolutional neural networks (CNNs) have been widely used in hyperspectral image (HSI) classification with appreciable performance. However, the current CNN-based HSI classification methods have limitations in exploiting the multiscale features and extracting sufficiently discriminative… read more here.
Keywords: classification; hsi classification; multiscale feature; attention ... See more keywords
Multiscale Feature Line Extraction From Raw Point Clouds Based on Local Surface Variation and Anisotropic Contraction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2021.3053006
Abstract: Recent 3-D scanning techniques can produce various kinds of digitized 3-D data. Most of these scanned data are in a format of unstructured point clouds. Such low-level representation of 3-D data usually contains only geometric… read more here.
Keywords: multiscale feature; point clouds; feature; feature lines ... See more keywords
Multiscale Feature Tensor Train Rank Minimization for Multidimensional Image Recovery.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3108847
Abstract: The general tensor-based methods can recover missing values of multidimensional images by exploiting the low-rankness on the pixel level. However, especially when considerable pixels of an image are missing, the low-rankness is not reliable on… read more here.
Keywords: multiscale feature; tensor; msf; image ... See more keywords
MFFN: An Underwater Sensing Scene Image Enhancement Method Based on Multiscale Feature Fusion Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3134762
Abstract: Vision-guided autonomous underwater vehicles based on remote sensing play an important role in ocean missions. However, some problems exist in underwater visual perception, such as color distortion, low contrast, and fuzzy details, which restrict the… read more here.
Keywords: feature fusion; feature; image enhancement; scene ... See more keywords
Remote Sensing Image Scene Classification Using Multiscale Feature Fusion Covariance Network With Octave Convolution
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3160492
Abstract: In remote sensing scene classification (RSSC), features can be extracted with different spatial frequencies where high-frequency features usually represent detailed information and low-frequency features usually represent global structures. However, it is challenging to extract meaningful… read more here.
Keywords: multiscale feature; remote sensing; feature; covariance ... See more keywords
Multiscale Feature Interactive Network for Multifocus Image Fusion
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3124058
Abstract: In deep learning (DL)-based multifocus image fusion, effective multiscale feature learning is a key issue to promote fusion performance. In this article, we propose a novel DL model named multiscale feature interactive network (MSFIN), which… read more here.
Keywords: multiscale feature; multifocus image; image fusion; fusion ... See more keywords
Capsule Network With Multiscale Feature Fusion for Hidden Human Activity Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3238749
Abstract: This article considers the problem of human activity classification behind the walls using ultrawideband (UWB) radar. The complex-valued multiscale feature fusion capsule network (CV-MCNet) is proposed, which consists of a feature extractor, a multiscale feature… read more here.
Keywords: network; classification; feature fusion; feature ... See more keywords
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3222671
Abstract: The partial discharge (PD) detection is of critical importance in the stability and continuity of power distribution operations. Although several feature engineering methods have been developed to refine and improve PD detection accuracy, they can… read more here.
Keywords: partial discharge; feature; detection; feature engineering ... See more keywords