JUNSHI XIA

シャジュンシ | JUNSHI XIA

Affiliation and department：

Research field (2)： Computational science , Intelligent informatics

Research keywords (3)： Hyperspectral remote sensing , Disaster monitoring , Machine learning

Research theme for competitive and other funds (3)：

2022 - 2026 3D land cover mapping from satellite imagery by weakly supervised learning
2019 - 2022 Deep forest for disaster monitoring with multi-temporal and multi-modal earth observation data
2016 - 2018 アンサンブル学習による多種リモートセンシングデータの画像分類アルゴリズムと応用

Papers (105)：

Ting Xu, Ting-Zhu Huang, Liang-Jian Deng, Jin-Liang Xiao, Clifford Broni-Bediako, Junshi Xia, Naoto Yokoya. A Coupled Tensor Double-Factor Method for Hyperspectral and Multispectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 2024. 62. 1-17
Reo Iizuka, Junshi Xia, Naoto Yokoya. Frequency-Based Optimal Style Mix for Domain Generalization in Semantic Segmentation of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 2024. 62. 1-14
Junshi Xia, Naoto Yokoya, Bruno Adriano, Keiichiro Kanemoto. National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets. International Journal of Applied Earth Observation and Geoinformation. 2023. 117. 103193-103193
Junshi Xia, Naoto Yokoya, Bruno Adriano, Clifford Broni-Bediako. OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping. IEEE/CVF Winter Conference on Applications of Computer Vision(WACV). 2023. 6243-6253
Junshi Xia, Naoto Yokoya, Bruno Adriano, Clifford Broni-Bediako. OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping. CoRR. 2022. abs/2210.10732

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Work history (5)：

Committee career (1)：

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