Uzkent, B.,
Rangnekar, A.,
Hoffman, M.J.,
Tracking in Aerial Hyperspectral Videos Using Deep Kernelized
Correlation Filters,
GeoRS(57), No. 1, January 2019, pp. 449-461.
IEEE DOI
1901
Hyperspectral imaging, Tracking,
Correlation, Videos, Training, Deep features, hyperspectral sensing,
vehicle tracking
BibRef
Xiong, F.,
Zhou, J.,
Qian, Y.,
Material Based Object Tracking in Hyperspectral Videos,
IP(29), 2020, pp. 3719-3733.
IEEE DOI
2002
Object tracking, hyperspectral imaging, material unmixing
BibRef
Liu, Z.Q.[Zhen-Qi],
Wang, X.Y.[Xin-Yu],
Zhong, Y.F.[Yan-Fei],
Shu, M.[Meng],
Sun, C.[Chen],
SiamHYPER: Learning a Hyperspectral Object Tracker From an RGB-Based
Tracker,
IP(31), 2022, pp. 7116-7129.
IEEE DOI
2212
Hyperspectral imaging, Target tracking, Videos, Training,
Object tracking, Feature extraction, Deep learning,
dual deep Siamese framework
BibRef
Tang, Y.M.[Yi-Ming],
Liu, Y.F.[Yu-Fei],
Huang, H.[Hong],
Target-aware and spatial-spectral discriminant feature joint
correlation filters for hyperspectral video object tracking,
CVIU(223), 2022, pp. 103535.
Elsevier DOI
2210
Hyperspectral video processing, Visual tracking,
Correlation filters, Dimensionality reduction
BibRef
Zhao, D.[Dong],
Cao, J.[Jialu],
Zhu, X.G.[Xu-Guang],
Zhang, Z.[Zhe],
Arun, P.V.[Pattathal V.],
Guo, Y.[Yecai],
Qian, K.[Kun],
Zhang, L.[Like],
Zhou, H.X.[Hui-Xin],
Hu, J.L.[Jian-Ling],
Hyperspectral Video Target Tracking Based on Deep Edge Convolution
Feature and Improved Context Filter,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Lei, J.[Jie],
Liu, P.[Pan],
Xie, W.[Weiying],
Gao, L.[Long],
Li, Y.S.[Yun-Song],
Du, Q.[Qian],
Spatial-Spectral Cross-Correlation Embedded Dual-Transfer Network for
Object Tracking Using Hyperspectral Videos,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Zhang, Z.[Zhe],
Hu, B.[Bin],
Wang, M.Y.[Meng-Yuan],
Arun, P.V.[Pattathal V.],
Zhao, D.[Dong],
Zhu, X.G.[Xu-Guang],
Hu, J.L.[Jian-Ling],
Li, H.[Huan],
Zhou, H.X.[Hui-Xin],
Qian, K.[Kun],
Hyperspectral Video Tracker Based on Spectral Deviation Reduction and
a Double Siamese Network,
RS(15), No. 6, 2023, pp. 1579.
DOI Link
2304
BibRef
Wang, S.Q.[Shi-Qing],
Qian, K.[Kun],
Shen, J.[Jianlu],
Ma, H.Y.[Hong-Yu],
Chen, P.[Peng],
AD-SiamRPN: Anti-Deformation Object Tracking via an Improved Siamese
Region Proposal Network on Hyperspectral Videos,
RS(15), No. 7, 2023, pp. 1731.
DOI Link
2304
BibRef
Li, Z.F.[Zhuan-Feng],
Xiong, F.C.[Feng-Chao],
Zhou, J.[Jun],
Lu, J.F.[Jian-Feng],
Qian, Y.T.[Yun-Tao],
Learning a Deep Ensemble Network With Band Importance for
Hyperspectral Object Tracking,
IP(32), 2023, pp. 2901-2914.
IEEE DOI
2306
Hyperspectral imaging, Target tracking, Object tracking,
Visualization, Feature extraction, Task analysis, Videos,
ensemble learning
BibRef
Zhao, C.H.[Chun-Hui],
Liu, H.J.[Hong-Jiao],
Su, N.[Nan],
Xu, C.[Congan],
Yan, Y.M.[Yi-Ming],
Feng, S.[Shou],
TMTNet: A Transformer-Based Multimodality Information Transfer
Network for Hyperspectral Object Tracking,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Guo, G.W.[Gao-Wei],
Li, Z.X.[Zhao-Xu],
An, W.[Wei],
Wang, Y.Q.[Ying-Qian],
He, X.[Xu],
Luo, Y.H.[Yi-Hang],
Ling, Q.[Qiang],
Li, M.[Miao],
Lin, Z.P.[Zai-Ping],
SPTrack: Spectral Similarity Prompt Learning for Hyperspectral Object
Tracking,
RS(16), No. 16, 2024, pp. 2975.
DOI Link
2408
BibRef
Wang, Y.[Ye],
Mei, S.H.[Shao-Hui],
Ma, M.Y.[Ming-Yang],
Liu, Y.H.[Yu-Heng],
Su, Y.[Yuru],
HTACPE: A Hybrid Transformer With Adaptive Content and Position
Embedding for Sample Learning Efficiency of Hyperspectral Tracker,
MultMed(27), 2025, pp. 2384-2398.
IEEE DOI
2505
Hyperspectral imaging, Transformers, Adaptation models, Encoding,
Object tracking, Feature extraction, Convolution,
hyperspectral object tracking
BibRef
Wang, Y.[Ye],
Ma, M.Y.[Ming-Yang],
Zhang, G.[Ge],
Liu, Y.H.[Yu-Heng],
Gao, T.[Tao],
Mei, S.H.[Shao-Hui],
Hyperspectral Tracker With Constrained Object Adaptive Learning and
Trajectory Construction,
CirSysVideo(35), No. 12, December 2025, pp. 12666-12679.
IEEE DOI Code:
WWW Link.
2512
Hyperspectral imaging, Transformers, Trajectory, Target tracking,
Adaptive learning, Object tracking, Feature extraction,
parameter-efficient fine-tuning
BibRef
Wang, Y.C.[Yu-Chao],
Li, X.[Xu],
Yang, X.Y.[Xin-Yan],
Ge, F.Y.[Fu-Yuan],
Wei, B.G.[Bao-Guo],
Li, L.X.[Li-Xin],
Yue, S.G.[Shi-Gang],
Deep Feature-Based Hyperspectral Object Tracking:
An Experimental Survey and Outlook,
RS(17), No. 4, 2025, pp. 645.
DOI Link
2502
BibRef
Zhao, L.[Lin],
Xie, S.X.[Shao-Xiong],
Li, J.[Jia],
Tan, P.[Ping],
Hu, W.J.[Wen-Jin],
MVP-HOT: A Moderate Visual Prompt for Hyperspectral Object Tracking,
JVCIR(105), 2024, pp. 104326.
Elsevier DOI
2501
Hyperspectral videos, Object tracking, Prompt learning, Parameter efficient
BibRef
Wu, Y.[Yinan],
Jiao, L.C.[Li-Cheng],
Liu, X.[Xu],
Liu, F.[Fang],
Yang, S.Y.[Shu-Yuan],
Li, L.L.[Ling-Ling],
Domain Adaptation-Aware Transformer for Hyperspectral Object Tracking,
CirSysVideo(34), No. 9, September 2024, pp. 8041-8052.
IEEE DOI Code:
WWW Link.
2410
Hyperspectral imaging, Target tracking, Feature extraction,
Transformers, Object tracking, Image color analysis, Visualization,
hyperspectral object tracking
BibRef
Li, Z.F.[Zhuan-Feng],
Xiong, F.C.[Feng-Chao],
Lu, J.F.[Jian-Feng],
Wang, J.[Jing],
Chen, D.[Diqi],
Zhou, J.[Jun],
Qian, Y.T.[Yun-Tao],
Multi-domain universal representation learning for hyperspectral
object tracking,
PR(162), 2025, pp. 111389.
Elsevier DOI Code:
WWW Link.
2503
Hyperspectral object tracking, Domain-specific information,
Visual prompt learning, Spatial-spectral feature
BibRef
Gao, L.[Long],
Chen, L.K.[Lang-Kun],
Jiang, Y.[Yan],
Xi, B.[Bobo],
Xie, W.Y.[Wei-Ying],
Li, Y.S.[Yun-Song],
Feature-Level Fusion Network for Hyperspectral Object Tracking via
Mixed Multi-Head Self-Attention Learning,
RS(17), No. 6, 2025, pp. 997.
DOI Link
2503
BibRef
Xing, H.J.[Hai-Jiao],
Wei, W.[Wei],
Zhang, L.[Lei],
Ding, C.[Chen],
A visual prompt learning network for hyperspectral object tracking,
PRL(196), 2025, pp. 59-65.
Elsevier DOI Code:
WWW Link.
2509
Hyperspectral object tracking, Prompt learning, Transformer
BibRef
Jiang, W.H.[Wen-Hao],
Zhong, W.X.[Wei-Xiang],
Arun, P.V.[Pattathal V.],
Xiang, P.[Pei],
Zhao, D.[Dong],
SRTE-Net: Spectral-Spatial Similarity Reduction and Reorganized
Texture Encoding for Hyperspectral Video Tracking,
SPLetters(32), 2025, pp. 3390-3394.
IEEE DOI
2509
Feature extraction, Gabor filters, Target tracking,
Hyperspectral imaging, Encoding, Videos, Video tracking, Training,
update strategy
BibRef
He, G.[Gang],
Gao, L.[Long],
Chen, L.K.[Lang-Kun],
Jiang, Y.[Yan],
Xie, W.Y.[Wei-Ying],
Li, Y.S.[Yun-Song],
Hyperspectral Object Tracking With Spectral Information Prompt,
CirSysVideo(35), No. 12, December 2025, pp. 12636-12651.
IEEE DOI Code:
WWW Link.
2512
Hyperspectral imaging, Object tracking, Training, Transformers,
Feature extraction, Visualization, Training data, information enhancement
BibRef
Zhang, J.Y.[Jing-Yan],
Zheng, Z.Z.[Zhi-Zhong],
Ni, K.[Kang],
Huang, N.[Nan],
Liu, Q.C.[Qi-Chao],
Liu, P.F.[Peng-Fei],
Hyperspectral Object Tracking via Band and Context Refinement Network,
RS(17), No. 22, 2025, pp. 3689.
DOI Link
2512
BibRef
Xiong, F.C.[Feng-Chao],
Wu, Z.X.[Zhen-Xing],
Zhou, J.[Jun],
Jia, S.[Sen],
Qian, Y.T.[Yun-Tao],
SUIT: Spatial-Spectral Union-Intersection Interaction Network for
Hyperspectral Object Tracking,
IP(34), 2025, pp. 7786-7800.
IEEE DOI Code:
WWW Link.
2512
Hyperspectral imaging, Feature extraction, Object tracking, Videos,
Transformers, Robustness, Target tracking, Training, Deformation,
multimodal fusion
BibRef
Sun, W.F.[Wen-Fang],
Tan, Y.D.[Yue-Dong],
Li, J.Y.[Jing-Yuan],
Hou, S.W.[Shu-Wei],
Li, X.B.[Xiao-Bo],
Shao, Y.Z.[Ying-Zhao],
Wang, Z.[Zhe],
Song, B.B.[Bei-Bei],
HotMoE: Exploring Sparse Mixture-of-Experts for Hyperspectral Object
Tracking,
MultMed(27), 2025, pp. 4072-4083.
IEEE DOI
2507
Hyperspectral imaging, Object tracking, Target tracking,
Feature extraction, Correlation, Videos, Transformers
BibRef
Nguyen, H.V.[Hien Van],
Banerjee, A.[Amit],
Chellappa, R.[Rama],
Tracking via object reflectance using a hyperspectral video camera,
OTCBVS10(44-51).
IEEE DOI
1006
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Small Object Tracking .