Xi Chen

Orcid: 0000-0002-8566-2358

Affiliations:

Harbin Institute of Technology, Department of Information Engineering, China
Shanghai Jiao Tong University, China (PhD 2011)

According to our database¹, Xi Chen authored at least 18 papers between 2010 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2023

Coupled Global-Local object detection for large VHR aerial images.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

2022

Cascaded Multiscale Structure With Self-Smoothing Atrous Convolution for Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

2021

Adaptive Effective Receptive Field Convolution for Semantic Segmentation of VHR Remote Sensing Images.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2021

IR-MSDNet: Infrared and Visible Image Fusion Based On Infrared Features and Multiscale Dense Network.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Semantic boundary enhancement and position attention network with long-range dependency for semantic segmentation.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

2018

Statically Fused Converted Measurement Kalman Filters for Phased-Array Radars.

[BibT_eX]

[DOI]

Thiagalingam Kirubarajan

IEEE Trans. Aerosp. Electron. Syst., 2018

State estimation with a destination constraint using pseudo-measurements.

[BibT_eX]

[DOI]

Thiagalingam Kirubarajan

Signal Process., 2018

2017

Supervised Multiview Feature Selection Exploring Homogeneity and Heterogeneity With ℓ<sub>1, 2</sub>-Norm and Automatic View Generation.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2017

Semisupervised Multiview Feature Selection for VHR Remote Sensing Images With Label Learning and Automatic View Generation.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

2016

Efficient semi-supervised feature selection for VHR remote sensing images.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Semi-supervised multiview feature selection with label learning for VHR remote sensing images.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

Measuring the Effectiveness of Various Features for Thematic Information Extraction From Very High Resolution Remote Sensing Imagery.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2015

Class-Specific Feature Selection With Local Geometric Structure and Discriminative Information Based on Sparse Similar Samples.

[BibT_eX]

[DOI]

Xi Chen

Yanfeng Gu

IEEE Geosci. Remote. Sens. Lett., 2015

A roof-contour guided multi-side interpolation method for building texture-mapping using remote sensing resource.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

L2, 0-norm regularization based feature selection for very high resolution remote sensing images.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2013

A Spatial Clustering Method With Edge Weighting for Image Segmentation.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2013

2011

Graph-Based Feature Selection for Object-Oriented Classification in VHR Airborne Imagery.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2011

2010

Semisupervised Feature Selection for Unbalanced Sample Sets of VHR Images.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2010

Xi Chen

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