Chaoqun Xia

Orcid: 0000-0002-0167-0423

According to our database1, Chaoqun Xia authored at least 17 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Separable Spatial-Temporal Patch-Tensor Pair Completion for Infrared Small Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

4DST-BTMD: An Infrared Small Target Detection Method Based on 4-D Data-Sphered Space.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Spatial-Temporal Tensor Representation Learning With Priors for Infrared Small Target Detection.
IEEE Trans. Aerosp. Electron. Syst., December, 2023

DIM: long-tailed object detection and instance segmentation via dynamic instance memory.
Mach. Learn. Sci. Technol., September, 2023

Robust Hyperspectral Unmixing with Practical Learning-Based Hyperspectral Image Denoising.
Remote. Sens., February, 2023

Hyperspectral Unmixing Using Robust Deep Nonnegative Matrix Factorization.
Remote. Sens., 2023

Infrared Small Target Detection Based on Improved Tri-Layer Window Local Contrast.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Infrared Small Target Detection via Dynamic Image Structure Evolution.
IEEE Trans. Geosci. Remote. Sens., 2022

IMNN-LWEC: A Novel Infrared Small Target Detection Based on Spatial-Temporal Tensor Model.
IEEE Trans. Geosci. Remote. Sens., 2022

Multiple Infrared Small Targets Detection Based on Hierarchical Maximal Entropy Random Walk.
IEEE Geosci. Remote. Sens. Lett., 2022

A Band Selection Method With Masked Convolutional Autoencoder for Hyperspectral Image.
IEEE Geosci. Remote. Sens. Lett., 2022

Omnidirectional Mirror Gradient Dissimilarity for Infrared Small Target Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
ContrastNet: Unsupervised feature learning by autoencoder and prototypical contrastive learning for hyperspectral imagery classification.
Neurocomputing, 2021

2020
Modified Graph Laplacian Model With Local Contrast and Consistency Constraint for Small Target Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Infrared Small Target Detection Based on Multiscale Local Contrast Measure Using Local Energy Factor.
IEEE Geosci. Remote. Sens. Lett., 2020

Multiple Infrared Small Targets Detection based on Hierarchical Maximal Entropy Random Walk.
CoRR, 2020

2018
Infrared Small Target Detection via Modified Random Walks.
Remote. Sens., 2018


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