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Fanqiang Kong
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2020 – today
- 2025
- [j24]Fanqiang Kong, Biao Mei
, Yun Fu, Yongtai Yang, Weidong Zhu:
Drilling task planning and offline programming of a robotic multi-spindle drilling system for aero-engine nacelle acoustic liners. Robotics Comput. Integr. Manuf. 92: 102897 (2025) - 2024
- [j23]Xinwei Wan
Spectral Quadratic Variation Regularized Autoweighted Tensor Ring Decomposition for Hyperspectral Image Reconstruction. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 9907-9921 (2024) - [j22]Cheng Xu
MSCC-ViT:A Multiscale Visual-Transformer Network Using Convolution Crossing Attention for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 18070-18082 (2024) - [j21]Fanqiang Kong, Guanglong Ren
Mixture autoregressive and spectral attention network for multispectral image compression based on variational autoencoder. Vis. Comput. 40(9): 6295-6318 (2024) - 2023
- [j20]Fanqiang Kong
Window Transformer Convolutional Autoencoder for Hyperspectral Sparse Unmixing. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j19]Fanqiang Kong, Jiahui Tang, Yunsong Li, Dan Li, Kedi Hu:
Dual-branch spectral-spatial feature extraction network for multispectral image compression. Multim. Syst. 29(6): 3579-3597 (2023) - [j18]Fanqiang Kong
Deep Interpretable Fully CNN Structure for Sparse Hyperspectral Unmixing via Model-Driven and Data-Driven Integration. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - 2022
- [j17]Fanqiang Kong, Tongbo Cao, Yunsong Li, Dan Li, Kedi Hu:
Multi-scale spatial-spectral attention network for multispectral image compression based on variational autoencoder. Signal Process. 198: 108589 (2022) - [j16]Fanqiang Kong
A Spectral-Spatial Feature Extraction Method With Polydirectional CNN for Multispectral Image Compression. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 2745-2758 (2022) - [j15]Fanqiang Kong
A Global Spectral-Spatial Feature Learning Network for Semisupervised Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 3190-3203 (2022) - [j14]Yujian Wang
Multiple Spectral-Spatial Representation Based on Tensor Decomposition for HSI Anomaly Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 3539-3551 (2022) - 2021
- [j13]Fanqiang Kong, Shunmin Zhao, Yunsong Li, Dan Li:
End-to-end multispectral image compression framework based on adaptive multiscale feature extraction. J. Electronic Imaging 30(1): 013010 (2021) - [j12]Fanqiang Kong, Kedi Hu, Yunsong Li, Dan Li, Shunmin Zhao:
Spectral-Spatial Feature Partitioned Extraction Based on CNN for Multispectral Image Compression. Remote. Sens. 13(1): 9 (2021) - [j11]Hanjie Wu, Dan Li, Yujian Wang, Xiaojun Li, Fanqiang Kong, Qiang Wang
Hyperspectral Image Classification Based on Two-Branch Spectral-Spatial-Feature Attention Network. Remote. Sens. 13(21): 4262 (2021) - [j10]Dan Li, Fanqiang Kong, Qiang Wang:
Hyperspectral image classification via nonlocal joint kernel sparse representation based on local covariance. Signal Process. 180: 107865 (2021) - [c5]Jingyi Xia, Fanqiang Kong:
Cultural Communication Design Strategies of Primary School Environment from the Perspective of Cultural Cognition. AHFE (18) 2021: 562-568 - [c4]Lingling Chen, Fanqiang Kong:
Quantitative Method of Regional Color Planning - Field Investigation on Renewal Design of Jiangchuan Street. AHFE (18) 2021: 608-617 - 2020
- [j9]Fanqiang Kong, Shunmin Zhao, Yunsong Li, Dan Li, Yongbo Zhou:
A residual network framework based on weighted feature channels for multispectral image compression. Ad Hoc Networks 107: 102272 (2020) - [j8]Dan Li, Qiang Wang, Fanqiang Kong:
Adaptive kernel sparse representation based on multiple feature learning for hyperspectral image classification. Neurocomputing 400: 97-112 (2020) - [j7]Dan Li, Qiang Wang, Fanqiang Kong:
Superpixel-feature-based multiple kernel sparse representation for hyperspectral image classification. Signal Process. 176: 107682 (2020)
2010 – 2019
- 2018
- [j6]Fanqiang Kong, Chending Bian, Yunsong Li, Keyan Wang:
Dictionary-aided hyperspectral unmixing based on constrained l2, q-l2, p optimization. Digit. Signal Process. 73: 117-127 (2018) - [j5]Fanqiang Kong:
Comparison of reconstruction algorithm for compressive sensing magnetic resonance imaging. Multim. Tools Appl. 77(17): 22617-22628 (2018) - [j4]Fanqiang Kong, Vishnuvarthanan Govindaraj
Ridge-based curvilinear structure detection for identifying road in remote sensing image and backbone in neuron dendrite image. Multim. Tools Appl. 77(17): 22857-22873 (2018) - 2017
- [j3]Qiu Shen, Yuxi Dai, Fanqiang Kong, Xiaofan Li:
3D motion estimation via optimized feature point selection. Neurocomputing 236: 147-152 (2017) - [c3]Mingdong Yang, Fanqiang Kong, Daiyin Zhu, Xiang Yu:
Efficient motion compensation approach with modified phase correction for airborne SAR. IGARSS 2017: 1622-1625 - [c2]Mingdong Yang, Fanqiang Kong, Daiyin Zhu, Xiang Yu:
Sliding spotlight SAR data focusing based on subaperture with line-of-sight motion compensation. IGARSS 2017: 1645-1648 - 2016
- [j2]Fanqiang Kong, Yunsong Li, Wenjun Guo:
Regularized MSBL algorithm with spatial correlation for sparse hyperspectral unmixing. J. Vis. Commun. Image Represent. 40: 525-537 (2016) - 2014
- [j1]Xin Liu, Min Jia, Xuemai Gu, Fanqiang Kong, Qingfeng Jing:
Optimal Joint Allocation of MultiSlot Spectrum Sensing and Transfer Power in MultiChannel Cognitive Radio. J. Sensors 2014: 494361:1-494361:9 (2014) - [c1]Xin Liu, Weizhi Zhong, Qian Hu, Fanqiang Kong, Qingfeng Jing:
Optimal multi-slot spectrum sensing and transfer in multichannel cognitive radio. WCSP 2014: 1-5
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