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Mingxia Tu
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2020 – today
- 2020
- [j5]Chu He, Mingxia Tu, Dehui Xiong, Mingsheng Liao:
Nonlinear Manifold Learning Integrated with Fully Convolutional Networks for PolSAR Image Classification. Remote. Sens. 12(4): 655 (2020) - [j4]Chu He, Bokun He, Mingxia Tu, Yan Wang, Tao Qu, Dingwen Wang, Mingsheng Liao:
Fully Convolutional Networks and a Manifold Graph Embedding-Based Algorithm for PolSAR Image Classification. Remote. Sens. 12(9): 1467 (2020)
2010 – 2019
- 2018
- [j3]Chu He, Mingxia Tu, Dehui Xiong, Feng Tu, Mingsheng Liao:
Adaptive Component Selection-Based Discriminative Model for Object Detection in High-Resolution SAR Imagery. ISPRS Int. J. Geo Inf. 7(2): 72 (2018) - [j2]Chu He, Mingxia Tu, Dehui Xiong, Feng Tu, Mingsheng Liao:
A Component-Based Multi-Layer Parallel Network for Airplane Detection in SAR Imagery. Remote. Sens. 10(7): 1016 (2018) - [c4]Xinlong Liu, Yan Wang, Gong Han, Mingxia Tu, Chu He:
Pattern Strengthened Deep Model for Sar Image Classification. IGARSS 2018: 1120-1123 - [c3]Yan Wang, Chu He, Dehui Xiong, Mingxia Tu:
A Two-Stream Unified Interpretation Network for Heterogeneous Remote Sensing Images Classification. IGARSS 2018: 1784-1787 - [c2]Mingxia Tu, Gong Han, Xinlong Liu, Chu He:
Fully Convolutional Network with Polarimetric Manifold for SAR Imagery Classification. IGARSS 2018: 3563-3566 - [c1]Xinlong Liu, Mingxia Tu, Yan Wang, Chu He:
Polarimetric Phase Difference Aided Network for Polsar Image Classification. IGARSS 2018: 6667-6670 - 2017
- [j1]Chu He, Mingxia Tu, Xinlong Liu, Dehui Xiong, Mingsheng Liao:
Mixture Statistical Distribution Based Multiple Component Model for Target Detection in High Resolution SAR Imagery. ISPRS Int. J. Geo Inf. 6(11): 336 (2017)
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