Electronics Optics & Control, Volume. 32, Issue 2, 7(2025)
Hyperspectral Target Tracking Based on Spectral Dimensionality Reduction and Feature Fusion
[1] [1] KURONEN T, EEROLA T, LENSU L, et al. High-speed hand tracking for studying human-computer interaction[C]//Scandinavian Conference on Image Analysis. Cham: Springer, 2015: 130-141.
[2] [2] YAO H, QIN R J, CHEN X Y. Unmanned aerial vehicle for remote sensing applications: a review[J]. Remote Sensing, 2019, 11(12): 1443.
[3] [3] VAITKUS A, STRUMSKYS M, JASINIEN V, et al. Effect of intelligent transport systems on traffic safety[J]. The Baltic Journal of Road and Bridge Engineering, 2016, 11(2): 136-143.
[4] [4] WEI Y G, WEI Q, AN D. Intelligent monitoring and control technologies of open sea cage culture: a review[J]. Computers and Electronics in Agriculture, 2020, 169: 105119.
[5] [5] XIONG F C, ZHOU J, TAO S Y, et al. SNMF-Net: learning a deep alternating neural network for hyperspectral unmixing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-16.
[6] [6] ZHAO D, CAO J L, ZHU X G, et al. Hyperspectral video target tracking based on deep edge convolution feature and improved context filter[J]. Remote Sensing, 2022, 14(24): 6219.
[7] [7] ZHAO D, ZHU X G, ZHANG Z, et al. Hyperspectral video target tracking based on pixel-wise spectral matching reduction and deep spectral cascading texture features[J]. Signal Processing, 2023, 209: 109033.
[8] [8] ZHANG Z, HU B, WANG M Y, et al. Hyperspectral video tracker based on spectral deviation reduction and a double Siamese network[J]. Remote Sensing, 2023, 15(6): 1579.
[9] [9] MARTINEZ A M, KAK A C. PCA versus LDA[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 23(2): 228-233.
[10] [10] SABOUR S, FROSST N, HINTON G E. Dynamic routing between capsules[C]//Proceedings of the 31st International Conference on Neural Information Processing Systems. Red Hook: Curran Associates Inc., 2017: 3859-3869.
[11] [11] LIU S T, HUANG D, WANG Y H. Receptive field block net for accurate and fast object detection[C]//Proceedings of the European Conference on Computer Vision (ECCV). Cham: Springer, 2018: 404-419.
[12] [12] XIONG F C, ZHOU J, QIAN Y T. Material based object tracking in hyperspectral videos[J]. IEEE Transactions on Image Processing, 2020, 29: 3719-3733.
[13] [13] QIAN K, ZHOU J, XIONG F C, et al. Object tracking in hyperspectral videos with convolutional features and kernelized correlation filter[C]//International Conference on Smart Multimedia. Cham: Springer, 2018: 308-319.
[14] [14] UZKENT B, RANGNEKAR A, HOFFMAN M J. Tracking in aerial hyperspectral videos using deep kernelized correlation filters[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57: 449-461.
[15] [15] BERTINETTO L, VALMADRE J, HENRIQUES J F, et al. Fully-convolutional Siamese networks for object tracking[C]//ECCV Workshops. Amsterdam: Springer, 2016: 850-865.
[16] [16] CUI Y T, JIANG C, WANG L M, et al. MixFormer: end-to-end tracking with iterative mixed attention[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). New Orleans: IEEE, 2022: 13598-13608.
[17] [17] LI W, HOU Z F, ZHOU J, et al. SiamBAG: band attention grouping-based Siamese object tracking network for hyperspectral videos[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-12.
[18] [18] ZHANG Z, QIAN K, DU J, et al. Multi-features integration based hyperspectral videos tracker[C]//The 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). Amsterdam: IEEE, 2021: 1-5.
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WU Li, WANG Mengyuan, HUANG Kunpeng, TIAN Haoxiang, ZHONG Weixiang, PU Zheng, WANG Qing. Hyperspectral Target Tracking Based on Spectral Dimensionality Reduction and Feature Fusion[J]. Electronics Optics & Control, 2025, 32(2): 7
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Received: Mar. 12, 2024
Accepted: Feb. 20, 2025
Published Online: Feb. 20, 2025
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