Concepedia

Baozhi Cheng

BC

8

Publications

184

Citations

8

H-Index

2013

Active since

Affiliations

Daqing Normal University(Current)

Baozhi Cheng is an author at Daqing Normal University specializing in anomaly detection, pattern recognition, and hyperspectral imaging.

Top concepts

EngineeringAnomaly DetectionPattern RecognitionHyperspectral ImagingData ScienceImage AnalysisMachine LearningSignal ProcessingDeep LearningOutlier Detection

Publications per year

2013–2022

8

Publications

8

A stacked autoencoders-based adaptive subspace model for hyperspectral anomaly detection

Lili Zhang, Baozhi Cheng · Infrared Physics & Technology · 2018 · 49 citations

Anomaly Detection, Machine Learning, Data Science +9

Transferred CNN Based on Tensor for Hyperspectral Anomaly Detection

Lili Zhang, Baozhi Cheng · IEEE Geoscience and Remote Sensing Letters · 2020 · 31 citations

Image Classification, Convolutional Neural Network, Anomaly Detection +12

Fractional Fourier Transform and Transferred CNN Based on Tensor for Hyperspectral Anomaly Detection

Lili Zhang, Baozhi Cheng · IEEE Geoscience and Remote Sensing Letters · 2021 · 29 citations

Convolutional Neural Network, Anomaly Detection, Image Analysis +15

Fractional Fourier Transform-Based Tensor RX for Hyperspectral Anomaly Detection

Lili Zhang, Jiachen Ma, Baozhi Cheng et al. · Remote Sensing · 2022 · 20 citations · Full text

Anomaly Detection, Image Analysis, Hyperspectral Anomaly Detection +14

A tensor-based adaptive subspace detector for hyperspectral anomaly detection

Lili Zhang, Baozhi Cheng, Yuwei Deng · International Journal of Remote Sensing · 2018 · 19 citations

Machine Vision, Anomaly Detection, Data Science +10

Rows per page

1–5 of 8