Jianyu Chen

Orcid: 0000-0002-2354-0240

Affiliations:

Second Institute of Oceanography (SIO), Key Laboratory of Satellite Ocean Environment Dynamics, Hangzhou, China
Zhejiang University, Hangzhou, China (PhD 2004)

According to our database¹, Jianyu Chen authored at least 11 papers between 2017 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2025

Learning Cross-Task Features With Mamba for Remote Sensing Image Multitask Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2025

Block-Level Matching Recognition Algorithm for OpenStreetMap and Segments From High-Resolution Remote Sensing.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024

Comparison and Evaluation of TV-Based and Low-Rank-Based Destriping Algorithms for Hyperspectral Imagery.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Evaluation of Global-Scale and Local-Scale Optimized Segmentation Algorithms in GEOBIA With SAM on Land Use and Land Cover.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2022

BDANet: Multiscale Convolutional Neural Network With Cross-Directional Attention for Building Damage Assessment From Satellite Images.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

2021

Efficient Deep Learning of Nonlocal Features for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2021

2020

A novel terminal-processing application for utilizing satellite imagery in Mobile GIS.

[BibT_eX]

[DOI]

Yanhui Zhao

Ninghua Chen

Jianyu Chen

Earth Sci. Informatics, 2020

Efficient Deep Learning of Non-local Features for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

CoRR, 2020

2019

A Bilevel Contextual MRF Model for Supervised Classification of High Spatial Resolution Remote Sensing Images.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

A Spectral-Spatial Domain-Specific Convolutional Deep Extreme Learning Machine for Supervised Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Access, 2019

2017

Supervised classification of hyperspectral images using local-receptive-fields-based kernel extreme learning machine.

[BibT_eX]

[DOI]

Yu Shen

Jianyu Chen

Liang Xiao

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Jianyu Chen

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