Optics and Precision Engineering, Volume. 31, Issue 17, 2555(2023)

Partial optimal transport-based domain adaptation for hyperspectral image classification

Bilin WANG1... Shengsheng WANG1,* and Zhe ZHANG2 |Show fewer author(s)
Author Affiliations
  • 1College of Computer Science and Technology, Jilin University, Changchun3002, China
  • 2Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou15163, China
  • show less
    References(20)

    [1] [1] 杨坚华, 张浩, 花海洋. 并行路径与强注意力机制遥感图像建筑物分割[J]. 光学 精密工程, 2023, 31(2): 234-245. doi: 10.37188/ope.20233102.0234YANGJ H, ZHANGH, HUAH Y. Parallel path and strong attention mechanism for building segmentation in remote sensing images[J]. Opt. Precision Eng., 2023, 31(2): 234-245.(in Chinese). doi: 10.37188/ope.20233102.0234

    [2] [2] 贾建鑫, 孙海彬, 蒋长辉, 等. 多源遥感数据的道路提取技术研究现状及展望[J]. 光学 精密工程, 2021, 29(2): 430-442. doi: 10.37188/OPE.20212902.0430JIAJ X, SUNH B, JIANGCH H, et al. Road extraction technology based on multi-source remote sensing:[J]. Opt. Precision Eng., 2021, 29(2): 430-442.(in Chinese). doi: 10.37188/OPE.20212902.0430

    [3] [3] 成丽波, 李昂臻, 贾小宁, 等. 小波多重分形遥感图像混合去噪[J]. 光学 精密工程, 2022, 30(15): 1880-1888. doi: 10.37188/ope.20223015.1880CHENGL B, LIA ZH, JIAX N, et al. Removing mixed noise from remote sensing images by wavelet multifractal method[J]. Opt. Precision Eng., 2022, 30(15): 1880-1888.(in Chinese). doi: 10.37188/ope.20223015.1880

    [4] [4] 熊林. 无监督领域自适应目标检测方法研究[D]. 成都: 电子科技大学, 2022.XIONGL. Research on Unsupervised Adaptive Target Detection Method[D]. Chengdu: University of Electronic Science and Technology of China, 2022. (in Chinese)

    [5] Z X LIU, L MA, Q DU. Class-wise distribution adaptation for unsupervised classification of hyperspectral remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 59, 508-521(2021).

    [6] J J MIAO, B ZHANG, B WANG. Coarse-to-fine joint distribution alignment for cross-domain hyperspectral image classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 12415-12428(2021).

    [7] Z Q FANG, Y X YANG, Z K LI et al. Confident learning-based domain adaptation for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-16(2022).

    [8] X J LIANG, Y ZHANG, J P ZHANG. Attention multisource fusion-based deep few-shot learning for hyperspectral image classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 8773-8788(2021).

    [9] N MAKKAR, L X YANG, S PRASAD. Adversarial learning based discriminative domain adaptation for geospatial image analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 150-162(2021).

    [10] S BEN-DAVID, J BLITZER, K CRAMMER et al. Analysis of representations for domain adaptation, 137-144(2006).

    [11] C VILLANI. Optimal Transport: Old and New(2009).

    [12] G PEYRÉ, M CUTURI. Computational optimal transport: with applications to data science. Foundations and Trends® in Machine Learning, 11, 355-607(2019).

    [15] G LICCIARDI, F PACIFICI, D TUIA et al. Decision fusion for the classification of hyperspectral data: outcome of the 2008 GRS-S data fusion contest. IEEE Transactions on Geoscience and Remote Sensing, 47, 3857-3865(2009).

    [17] T JOACHIMS. Transductive inference for text classification using support vector machines. Slovenia, 99, 200-209(1999).

    [18] M S LONG, Y CAO, J M WANG et al. Learning transferable features with deep adaptation networks, 97-105(2015).

    [19] Y GANIN, E USTINOVA, H AJAKAN et al. Domain-adversarial training of neural networks. Advances in Computer Vision and Pattern Recognition, 189-209(2017).

    [20] B DENG, S JIA, D M SHI. Deep metric learning-based feature embedding for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing, 58, 1422-1435(2020).

    Tools

    Get Citation

    Copy Citation Text

    Bilin WANG, Shengsheng WANG, Zhe ZHANG. Partial optimal transport-based domain adaptation for hyperspectral image classification[J]. Optics and Precision Engineering, 2023, 31(17): 2555

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Information Sciences

    Received: Feb. 15, 2023

    Accepted: --

    Published Online: Oct. 9, 2023

    The Author Email: WANG Shengsheng (wss@jlu.edu.cn)

    DOI:10.37188/OPE.20233117.2555

    Topics