Chanussot J - Search Results

1

Joint and Progressive Subspace Analysis (JPSA) With Spatial-Spectral Manifold Alignment for Semisupervised Hyperspectral Dimensionality Reduction.

Hong D, Yokoya N, Chanussot J, Xu J, Zhu XX. Hong D, et al. Among authors: chanussot j. IEEE Trans Cybern. 2021 Jul;51(7):3602-3615. doi: 10.1109/TCYB.2020.3028931. Epub 2021 Jun 23. IEEE Trans Cybern. 2021. PMID: 33175688

2

Hyperspectral Super-Resolution of Locally Low Rank Images From Complementary Multisource Data.

Veganzones MA, Simoes M, Licciardi G, Yokoya N, Bioucas-Dias JM, Chanussot J. Veganzones MA, et al. Among authors: chanussot j. IEEE Trans Image Process. 2016 Jan;25(1):274-88. doi: 10.1109/TIP.2015.2496263. Epub 2015 Oct 30. IEEE Trans Image Process. 2016. PMID: 26540685

3

An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing.

Hong D, Yokoya N, Chanussot J, Zhu XX. Hong D, et al. Among authors: chanussot j. IEEE Trans Image Process. 2018 Nov 9. doi: 10.1109/TIP.2018.2878958. Online ahead of print. IEEE Trans Image Process. 2018. PMID: 30418901

4

Learnable manifold alignment (LeMA): A semi-supervised cross-modality learning framework for land cover and land use classification.

Hong D, Yokoya N, Ge N, Chanussot J, Zhu XX. Hong D, et al. Among authors: chanussot j. ISPRS J Photogramm Remote Sens. 2019 Jan;147:193-205. doi: 10.1016/j.isprsjprs.2018.10.006. ISPRS J Photogramm Remote Sens. 2019. PMID: 30774220 Free PMC article.

5

Learning to propagate labels on graphs: An iterative multitask regression framework for semi-supervised hyperspectral dimensionality reduction.

Hong D, Yokoya N, Chanussot J, Xu J, Zhu XX. Hong D, et al. Among authors: chanussot j. ISPRS J Photogramm Remote Sens. 2019 Dec;158:35-49. doi: 10.1016/j.isprsjprs.2019.09.008. ISPRS J Photogramm Remote Sens. 2019. PMID: 31853165 Free PMC article.

6

X-ModalNet: A semi-supervised deep cross-modal network for classification of remote sensing data.

Hong D, Yokoya N, Xia GS, Chanussot J, Zhu XX. Hong D, et al. Among authors: chanussot j. ISPRS J Photogramm Remote Sens. 2020 Sep;167:12-23. doi: 10.1016/j.isprsjprs.2020.06.014. ISPRS J Photogramm Remote Sens. 2020. PMID: 32904376 Free PMC article.

7

Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing.

Hong D, Gao L, Yao J, Yokoya N, Chanussot J, Heiden U, Zhang B. Hong D, et al. Among authors: chanussot j. IEEE Trans Neural Netw Learn Syst. 2022 Nov;33(11):6518-6531. doi: 10.1109/TNNLS.2021.3082289. Epub 2022 Oct 27. IEEE Trans Neural Netw Learn Syst. 2022. PMID: 34048352

8

Multimodal remote sensing benchmark datasets for land cover classification with a shared and specific feature learning model.

Hong D, Hu J, Yao J, Chanussot J, Zhu XX. Hong D, et al. Among authors: chanussot j. ISPRS J Photogramm Remote Sens. 2021 Aug;178:68-80. doi: 10.1016/j.isprsjprs.2021.05.011. ISPRS J Photogramm Remote Sens. 2021. PMID: 34433999 Free PMC article.

9

Learning Tensor Low-Rank Representation for Hyperspectral Anomaly Detection.

Wang M, Wang Q, Hong D, Roy SK, Chanussot J. Wang M, et al. Among authors: chanussot j. IEEE Trans Cybern. 2023 Jan;53(1):679-691. doi: 10.1109/TCYB.2022.3175771. Epub 2022 Dec 23. IEEE Trans Cybern. 2023. PMID: 35609106

10

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: chanussot 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

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