Search Results - "hierarchical denoising autoencoder"

Target Detection With Unconstrained Linear Mixture Model and Hierarchical Denoising Autoencoder in Hyperspectral Imagery

Authors: Yunsong Li Yanzi Shi Keyan Wang et al.

Contributors: Yunsong Li Yanzi Shi Keyan Wang et al.

Source: IEEE Transactions on Image Processing. 31:1418-1432

Subject Terms: Mixture model, Hyperspectral imaging, Object detection, spatial-spectral unification, 0211 other engineering and technologies, Deep learning, Detector, hyperspectral target detection, 02 engineering and technology, hierarchical denoising autoencoder, 0202 electrical engineering, electronic engineering, information engineering, Interference, Noise reduction, Unconstrained linear mixture model

File Description: ELETTRONICO

Access URL: https://pubmed.ncbi.nlm.nih.gov/35038293

Hyperspectral Target Detection with Hierarchical Denoising Autoencoder and Subspace Projection

Authors: Jiaojiao Li Keyan Wang Yunsong Li et al.

Source: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. :4404-4407

Subject Terms: 0211 other engineering and technologies, 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences

Access URL: https://dblp.uni-trier.de/db/conf/igarss/igarss2021.html#ShiWLL21
https://ieeexplore.ieee.org/abstract/document/9553151

Target Detection With Unconstrained Linear Mixture Model and Hierarchical Denoising Autoencoder in Hyperspectral Imagery.

Authors: Li, Yunsong Shi, Yanzi Wang, Keyan et al.

Source: IEEE Transactions on Image Processing; 2022, Vol. 31, p1418-1432, 15p

Subject Terms: DEEP learning, OBJECT recognition (Computer vision), DATA distribution, NOISE control, DETECTORS

Towards Robust Hyperspectral Target Detection via Test-Time Spectrum Adaptation.

Authors: Gerster, Robin Stütz, Peter

Source: Remote Sensing; Aug2025, Vol. 17 Issue 16, p2756, 22p

Subject Terms: HYPERSPECTRAL imaging systems, DETECTORS, SIGNAL detection, WAVELENGTH measurement

Domain adaptation hyperspectral image fusion based on spatial-spectral domain separation.

Authors: Sun, Yucheng Ma, Yong Yao, Yuan et al.

Source: Geo-Spatial Information Science; Aug2025, Vol. 28 Issue 4, p1638-1652, 15p

Subject Terms: DEEP learning, CONVOLUTIONAL neural networks, FEATURE extraction, IMAGE processing, SPECTRUM analysis

Contrastive Learning-Based Hyperspectral Image Target Detection Using a Gated Dual-Path Network.

Authors: Wu, Jiake Liu, Rong Wang, Nan

Source: Remote Sensing; Jul2025, Vol. 17 Issue 14, p2345, 20p

Subject Terms: DEEP learning, DATA augmentation, HYPERSPECTRAL imaging systems, PATTERN perception, FEATURE extraction

A Representation-Learning-Based Graph and Generative Network for Hyperspectral Small Target Detection.

Authors: Li, Yunsong Zhong, Jiaping Xie, Weiying et al.

Source: Remote Sensing; Oct2024, Vol. 16 Issue 19, p3638, 22p

Subject Terms: GENERATIVE adversarial networks, DATA structures, CONSTRUCTION cost estimates

RESEARCH ON DEEP LEARNING-BASED ALGORITHM FOR DIGITAL IMAGE COMBINATION AND TARGET DETECTION.

Authors: SHANLU HUANG JIALIN LAI

Source: Scalable Computing: Practice & Experience; Sep2024, Vol. 25 Issue 5, p4023-4031, 9p

Subject Terms: COMPUTER vision, IMAGE recognition (Computer vision), REMOTE-sensing images, VISUAL fields, DIGITAL learning, DEEP learning

Optimization of target detection model based on Yolov5 network with small samples.

Authors: Sun, Hua Su, Kaifeng Yang, Yifan

Source: Journal of Computational Methods in Sciences & Engineering; 2024, Vol. 24 Issue 3, p1395-1404, 10p

Subject Terms: SHOCK absorbers, ELECTRIC transformers

Target Detection Adapting to Spectral Variability in Multi-Temporal Hyperspectral Images Using Implicit Contrastive Learning.

Authors: Zhang, Xiaodian Gao, Kun Wang, Junwei et al.

Source: Remote Sensing; Feb2024, Vol. 16 Issue 4, p718, 25p

Subject Terms: IMPLICIT learning, REMOTE sensing, DEEP learning, LEARNING modules, DETECTORS

An Attention-Based Multiscale Spectral–Spatial Network for Hyperspectral Target Detection.

Authors: Feng, Shou Feng, Rui Liu, Jianfei et al.

Source: IEEE Geoscience & Remote Sensing Letters; 2023, Vol. 20, p1-5, 5p

Robust Signature-Based Hyperspectral Target Detection Using Dual Networks.

Authors: Gao, Yanlong Feng, Yan Yu, Xumin et al.

Source: IEEE Geoscience & Remote Sensing Letters; 2023, Vol. 20, p1-5, 5p

Unmixing-Guided Convolutional Transformer for Spectral Reconstruction.

Authors: Duan, Shiyao Li, Jiaojiao Song, Rui et al.

Source: Remote Sensing; May2023, Vol. 15 Issue 10, p2619, 20p

Subject Terms: TRANSFORMER models, DEEP learning, CONVOLUTIONAL neural networks, FEATURE extraction, COMPARATIVE method, PIXELS

Company/Entity: CABLE News Network

Hyperspectral imaging and target detection algorithms: a review.

Authors: Sneha Kaul, Ajay

Source: Multimedia Tools & Applications; Dec2022, Vol. 81 Issue 30, p44141-44206, 66p

Subject Terms: ALGORITHMS, PROSPECTING, DEFENSIVE (Military science), FOOD quality, MEDICAL sciences

Optimization of Hyperparameters in Object Detection Models Based on Fractal Loss Function.

Authors: Zhou, Ming Li, Bo Wang, Jue

Source: Fractal & Fractional; Dec2022, Vol. 6 Issue 12, p706, 17p

Subject Terms: FRACTIONAL calculus, MATHEMATICAL models, PREDICTION models, GENETIC algorithms

Few-Shot Learning With Class-Covariance Metric for Hyperspectral Image Classification.

Authors: Xi, Bobo Li, Jiaojiao Li, Yunsong et al.

Source: IEEE Transactions on Image Processing; 2022, Vol. 31, p5079-5092, 14p

Subject Terms: IMAGE recognition (Computer vision), FEATURE extraction, MACHINE learning, EUCLIDEAN metric, DEEP learning, COMPUTATIONAL complexity, MATHEMATICAL convolutions