Li J - Search Results

1

SWFormer: Stochastic Windows Convolutional Transformer for Hybrid Modality Hyperspectral Classification.

Li J, Zhang Z, Liu Y, Song R, Li Y, Du Q. Li J, et al. Among authors: li y. IEEE Trans Image Process. 2024;33:5482-5495. doi: 10.1109/TIP.2024.3465038. Epub 2024 Oct 4. IEEE Trans Image Process. 2024. PMID: 39325597

2

SCFormer: Spectral Coordinate Transformer for Cross-Domain Few-Shot Hyperspectral Image Classification.

Li J, Zhang Z, Song R, Li Y, Du Q. Li J, et al. Among authors: li y. IEEE Trans Image Process. 2024;33:840-855. doi: 10.1109/TIP.2024.3351443. Epub 2024 Jan 19. IEEE Trans Image Process. 2024. PMID: 38224515

3

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

Xi B, Li J, Li Y, Song R, Hong D, Chanussot J. Xi B, et al. Among authors: li y, li j. IEEE Trans Image Process. 2022;31:5079-5092. doi: 10.1109/TIP.2022.3192712. Epub 2022 Aug 2. IEEE Trans Image Process. 2022. PMID: 35881603

4

Progressive Spatial Information-Guided Deep Aggregation Convolutional Network for Hyperspectral Spectral Super-Resolution.

Li J, Du S, Song R, Li Y, Du Q. Li J, et al. Among authors: li y. IEEE Trans Neural Netw Learn Syst. 2023 Oct 27;PP. doi: 10.1109/TNNLS.2023.3325682. Online ahead of print. IEEE Trans Neural Netw Learn Syst. 2023. PMID: 37889820

5

Semisupervised Cross-Scale Graph Prototypical Network for Hyperspectral Image Classification.

Xi B, Li J, Li Y, Song R, Xiao Y, Du Q, Chanussot J. Xi B, et al. Among authors: li y, li j. IEEE Trans Neural Netw Learn Syst. 2023 Nov;34(11):9337-9351. doi: 10.1109/TNNLS.2022.3158280. Epub 2023 Oct 27. IEEE Trans Neural Netw Learn Syst. 2023. PMID: 35320108

6

Weakly Supervised Low-Rank Representation for Hyperspectral Anomaly Detection.

Xie W, Zhang X, Li Y, Lei J, Li J, Du Q. Xie W, et al. Among authors: li y, li j. IEEE Trans Cybern. 2021 Aug;51(8):3889-3900. doi: 10.1109/TCYB.2021.3065070. Epub 2021 Aug 4. IEEE Trans Cybern. 2021. PMID: 33961574

7

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

Li Y, Shi Y, Wang K, Xi B, Li J, Gamba P. Li Y, et al. Among authors: li j. IEEE Trans Image Process. 2022;31:1418-1432. doi: 10.1109/TIP.2022.3141843. Epub 2022 Jan 25. IEEE Trans Image Process. 2022. PMID: 35038293

8

HPRN: Holistic Prior-Embedded Relation Network for Spectral Super-Resolution.

Wu C, Li J, Song R, Li Y, Du Q. Wu C, et al. Among authors: li y, li j. IEEE Trans Neural Netw Learn Syst. 2024 Aug;35(8):11409-11423. doi: 10.1109/TNNLS.2023.3260828. Epub 2024 Aug 5. IEEE Trans Neural Netw Learn Syst. 2024. PMID: 37030818

9

Deep Hybrid 2-D-3-D CNN Based on Dual Second-Order Attention With Camera Spectral Sensitivity Prior for Spectral Super-Resolution.

Li J, Wu C, Song R, Li Y, Xie W, He L, Gao X. Li J, et al. Among authors: li y. IEEE Trans Neural Netw Learn Syst. 2023 Feb;34(2):623-634. doi: 10.1109/TNNLS.2021.3098767. Epub 2023 Feb 3. IEEE Trans Neural Netw Learn Syst. 2023. PMID: 34347604

10

Unsupervised spectral mapping and feature selection for hyperspectral anomaly detection.

Xie W, Li Y, Lei J, Yang J, Li J, Jia X, Li Z. Xie W, et al. Among authors: li y, li j, li z. Neural Netw. 2020 Dec;132:144-154. doi: 10.1016/j.neunet.2020.08.010. Epub 2020 Aug 28. Neural Netw. 2020. PMID: 32889154

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