Constrained Energy Minimization (CEM) for Hyperspectral Target Detection: Theory and Generalizations
CI Chang - IEEE Transactions on Geoscience and Remote …, 2024 - ieeexplore.ieee.org
Target detection is a fundamental task of hyperspectral imaging where constrained energy
minimization (CEM) has been widely used for subpixel target detection techniques. Due to …
minimization (CEM) has been widely used for subpixel target detection techniques. Due to …
[HTML][HTML] Optimization of Variational Mode Decomposition-Convolutional Neural Network-Bidirectional Long Short Term Memory Rolling Bearing Fault Diagnosis …
(1) Background: Rolling bearings are important components in mechanical equipment, but
they are also components with a high failure rate. Once a malfunction occurs, it will cause …
they are also components with a high failure rate. Once a malfunction occurs, it will cause …
Dynamic estimation method for pulsar periods based on photon energy distribution folding and image template matching
TH Xie, X Ma, WJ Zhang, JR Li, ST Wang… - Astronomy & …, 2024 - aanda.org
Aims. The accuracy of the pulsar period estimation directly affects the restoration effect of the
signal profile. A more accurate pulsar profile will help improve the accuracy of pulsar delay …
signal profile. A more accurate pulsar profile will help improve the accuracy of pulsar delay …
Iterative Gaussian–Laplacian Pyramid Network for Hyperspectral Image Classification
CI Chang, CC Liang, PF Hu - IEEE Transactions on Geoscience …, 2024 - ieeexplore.ieee.org
Gaussian pyramid (GP) is a commonly used image coding technique that encodes an image
as a pyramid that is stacked by a set of images with Gaussian window-reduced sizes and …
as a pyramid that is stacked by a set of images with Gaussian window-reduced sizes and …
A pixel-level assessment method of the aging status of silicone rubber insulators based on hyperspectral imaging technology and IPCA-SVM model
Acidic environments are a significant factor in the aging and failure of silicone rubber
insulators. Addressing the effective assessment of insulators' aging state to prevent power …
insulators. Addressing the effective assessment of insulators' aging state to prevent power …
Exploring Positional Distributions of Labeled Superpixels within Graph Convolutional Networks for Hyperspectral Image
Y Ding, M Hou, Y Ding, C Zheng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Researchers have been paying more attention to hyperspectral image (HSI) classification
based on semi-supervised superpixel-level graph convolutional networks (SGCNs) due to …
based on semi-supervised superpixel-level graph convolutional networks (SGCNs) due to …
Class-wise Prototype Guided Alignment Network for Cross-Scene Hyperspectral Image Classification
In the past few years, there has been significant progress in hyperspectral image
classification (HSIC). However, when the trained classifier on the source scene is directly …
classification (HSIC). However, when the trained classifier on the source scene is directly …
Domain Invariant and Compact Prototype Contrast Adaptation for Hyperspectral Image Classification
Contrastive learning achieves good performance on hyperspectral image classification
(HSIC), but its application on cross-scene classification is still challenging due to domain …
(HSIC), but its application on cross-scene classification is still challenging due to domain …
Hierarchical One-Class Detection for Hyperspectral Image Classification with Background
Hyperspectral image classification (HSIC) has received considerable interest in recent years
where most techniques are developed to classify images with background (BKG) removed …
where most techniques are developed to classify images with background (BKG) removed …
A Channel Adaptive Dual Siamese Network for Hyperspectral Object Tracking
Hyperspectral object tracking (HOT) aims at tracking targets using the rich spectral
information from hyperspectral video (HSV). Recently, dual Siamese network (DSN) has …
information from hyperspectral video (HSV). Recently, dual Siamese network (DSN) has …