Subfeature Ensemble-Based Hyperspectral Anomaly Detection Algorithm

Subfeature Ensemble-Based Hyperspectral Anomaly Detection Algorithm

Hyperspectral images (HSIs) have always played an important role in remote sensing applications. Anomaly detection has become a hot spot in HSI processing in recent years. The popular detecting method is to accurately segment anomalies from the background. Informative bands are very important for th...

Full description

Bibliographic Details
Main Authors:	Shuo Wang, Wei Feng, Yinghui Quan, Wenxing Bao, Gabriel Dauphin, Lianru Gao, Xian Zhong, Mengdao Xing
Format:	Article
Language:	English
Published:	IEEE 2022-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:	Anomaly detection hyperspectral images (HSIs) feature ensemble unsupervised object detection remote sensing
Online Access:	https://ieeexplore.ieee.org/document/9834076/

Similar Items

Background Reconstruction via 3D-Transformer Network for Hyperspectral Anomaly Detection
by: Ziyu Wu, et al.
Published: (2023-09-01)

Greedy Ensemble Hyperspectral Anomaly Detection
by: Mazharul Hossain, et al.
Published: (2024-05-01)

Hyperspectral Anomaly Detection via Sparse Representation and Collaborative Representation
by: Sheng Lin, et al.
Published: (2023-01-01)

Self-Adaptive Low-Rank and Sparse Decomposition for Hyperspectral Anomaly Detection
by: Qunming Wang, et al.
Published: (2022-01-01)

Tucker Decomposition-Based Network Compression for Anomaly Detection With Large-Scale Hyperspectral Images
by: Yulei Wang, et al.
Published: (2024-01-01)

Advancing Algorithmic Adaptability in Hyperspectral Anomaly Detection with Stacking-Based Ensemble Learning
by: Bradley J. Wheeler, et al.
Published: (2024-10-01)

Kernel Minimum Noise Fraction Transformation-Based Background Separation Model for Hyperspectral Anomaly Detection
by: Tianru Xue, et al.
Published: (2022-10-01)

Hyperspectral Anomaly Detection Using Deep Learning: A Review
by: Xing Hu, et al.
Published: (2022-04-01)

Enhanced-Random-Feature-Subspace-Based Ensemble CNN for the Imbalanced Hyperspectral Image Classification
by: Qinzhe Lv, et al.
Published: (2021-01-01)

Dual Collaborative Constraints Regularized Low-Rank and Sparse Representation via Robust Dictionaries Construction for Hyperspectral Anomaly Detection
by: Sheng Lin, et al.
Published: (2023-01-01)

Progressive pseudo-label framework for unsupervised hyperspectral change detection
by: Qiuxia Li, et al.
Published: (2024-03-01)

An Efficient and Robust Unsupervised Anomaly Detection Method Using Ensemble Random Projection in Surveillance Videos
by: Jingtao Hu, et al.
Published: (2019-09-01)

Ensemble synthetic oversampling with pixel pair for class-imbalanced and small-sized hyperspectral data classification
by: Wei Feng, et al.
Published: (2024-04-01)

Modified Autoencoder Training and Scoring for Robust Unsupervised Anomaly Detection in Deep Learning
by: Nicholas Merrill, et al.
Published: (2020-01-01)

An Unsupervised Deep Hyperspectral Anomaly Detector
by: Ning Ma, et al.
Published: (2018-02-01)

Hyperspectral Anomaly Detection Method Based on Adaptive Background Extraction
by: Min Li, et al.
Published: (2020-01-01)

Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation
by: Kun Tan, et al.
Published: (2019-06-01)

Unsupervised Insurance Fraud Prediction Based on Anomaly Detector Ensembles
by: Alexander Vosseler
Published: (2022-06-01)

Hyperspectral anomaly detection via memory‐augmented autoencoders
by: Zhe Zhao, et al.
Published: (2023-12-01)

Anomaly Detection in Hyperspectral Images via Regularization by Denoising
by: Mauro Luiz Brandao Junior, et al.
Published: (2022-01-01)

Anomaly Detection from Hyperspectral Remote Sensing Imagery
by: Qiandong Guo, et al.
Published: (2016-12-01)

Anomaly Detection Using an Ensemble of Multi-Point LSTMs
by: Geonseok Lee, et al.
Published: (2023-10-01)

Tensor Regression and Image Fusion-Based Change Detection Using Hyperspectral and Multispectral Images
by: Tianming Zhan, et al.
Published: (2021-01-01)

Matrix Autoregressive Model for Hyperspectral Anomaly Detection
by: Jingxuan Wang, et al.
Published: (2022-01-01)

Multi-Prior Twin Least-Square Network for Anomaly Detection of Hyperspectral Imagery
by: Jiaping Zhong, et al.
Published: (2022-06-01)

Spectra-Based Selective Searching for Hyperspectral Anomaly Detection
by: Chensong Yin, et al.
Published: (2020-12-01)

OAAE: Optimized adaptive anomaly detection ensemble—Base model boosting by parameter optimization
by: Joash Kiprotich Bii, et al.
Published: (2022-02-01)

Nondestructive Detection for Egg Freshness Based on Hyperspectral Scattering Image Combined with Ensemble Learning
by: Dejian Dai, et al.
Published: (2020-09-01)

Logarithmic Kernel Relaxed Collaborative Representation With Scaled MST Dictionary Construction for Hyperspectral Anomaly Detection
by: Yang Zhao, et al.
Published: (2024-01-01)

CRNN: Collaborative Representation Neural Networks for Hyperspectral Anomaly Detection
by: Yuxiao Duan, et al.
Published: (2023-06-01)

IBaggedFCNet: An Ensemble Framework for Anomaly Detection in Surveillance Videos
by: Yumna Zahid, et al.
Published: (2020-01-01)

An Efficient and Robust Framework for Hyperspectral Anomaly Detection
by: Linbo Tang, et al.
Published: (2021-10-01)

Adopting Hyperspectral Anomaly Detection for Near Real-Time Camouflage Detection in Multispectral Imagery
by: Tobias Hupel, et al.
Published: (2022-08-01)

CE-RX: A Collaborative Cloud-Edge Anomaly Detection Approach for Hyperspectral Images
by: Yunchang Wang, et al.
Published: (2023-08-01)

The Spectrum Difference Enhanced Network for Hyperspectral Anomaly Detection
by: Shaohua Liu, et al.
Published: (2024-12-01)

Selective Search Collaborative Representation for Hyperspectral Anomaly Detection
by: Chensong Yin, et al.
Published: (2022-11-01)

Dynamic Negative Sampling Autoencoder for Hyperspectral Anomaly Detection
by: Jingxuan Wang, et al.
Published: (2022-01-01)

Hyperspectral Anomaly Detection Based on Machine Learning: An Overview
by: Yichu Xu, et al.
Published: (2022-01-01)

Improved Central Attention Network-Based Tensor RX for Hyperspectral Anomaly Detection
by: Lili Zhang, et al.
Published: (2022-11-01)

Anomaly Detection Based on Tree Topology for Hyperspectral Images
by: Xiaotong Sun, et al.
Published: (2023-01-01)