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ORCIDYaqian Long
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2020 – today
- 2024
[j7]Farhan Ullah
, Yaqian Long, Irfan Ullah, Rehan Ullah Khan, Salabat Khan, Khalil Khan, Maqbool Khan, Giovanni Pau:
Deep Hyperspectral Shots: Deep Snap Smooth Wavelet Convolutional Neural Network Shots Ensemble for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 14-34 (2024)- [j6]Yaqian Long, Songxin Ye, Liqiong Wang, Weixi Wang, Xiaomei Liao, Sen Jia:
Scale Pyramid Graph Network for Hyperspectral Individual Tree Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - 2023
- [j5]Yaqian Long, Xun Wang, Meng Xu, Shuyu Zhang, Shuguo Jiang, Sen Jia:
Dual Self-Attention Swin Transformer for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - 2022
- [c3]Songxin Ye, Nanying Li, Jiaqi Xue, Yaqian Long, Sen Jia:
HSI-DETR: A DETR-based Transfer Learning from RGB to Hyperspectral Images for Object Detection of Live and Dead Cells: To achieve better results, convert models with the fewest changes from RGB to HSI. ICCPR 2022: 102-107 - [c2]Hong Liang, Nanying Li, Jiaqi Xue, Yaqian Long, Sen Jia:
Principal component self-attention mechanism for melanoma hyperspectral image recognition. ICCPR 2022: 243-248 - 2021
- [j4]Yaqian Long, Benoit Rivard, Arturo Sanchez-Azofeifa, Russell Greiner, Dominica Harrison, Sen Jia:
Identification of spectral features in the longwave infrared (LWIR) spectra of leaves for the discrimination of tropical dry forest tree species. Int. J. Appl. Earth Obs. Geoinformation 97: 102286 (2021) - [j3]Sen Jia, Qingqing Zhao, Jiayue Zhuang, Dingding Tang, Yaqian Long, Meng Xu, Jun Zhou, Qingquan Li:
Flexible Gabor-Based Superpixel-Level Unsupervised LDA for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(12): 10394-10409 (2021) - 2020
- [j2]Yaqian Long, Benoit Rivard, Derek M. Rogge:
Incorporating band selection in the spatial selection of spectral endmembers. Int. J. Appl. Earth Obs. Geoinformation 84 (2020)
2010 – 2019
- 2019
- [j1]Yaqian Long, Benoit Rivard, Derek M. Rogge, Minghua Tian:
Hyperspectral band selection using the N-dimensional Spectral Solid Angle method for the improved discrimination of spectrally similar targets. Int. J. Appl. Earth Obs. Geoinformation 79: 35-47 (2019) - 2018
- [c1]Yaqian Long, Benoit Rivard:
Hierarchical Band Selection Using the N-Dimensional Solid Spectral Angle Method to Address Inter- and Intra- Class Spectral Variability. IGARSS 2018: 8377-8380
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