XIA JUNSHI ＸｉａＪｕｎｓｈｉ

Researcher Number	00830168
Other IDs
Affiliation (Current)	2025: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 上級研究員
Affiliation (based on the past Project Information) *help	2023 – 2025: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 上級研究員 2019 – 2022: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 研究員
Review Section/Research Field	Principal Investigator Basic Section 61010:Perceptual information processing-related Except Principal Investigator Basic Section 61010:Perceptual information processing-related
Keywords	Principal Investigator Geospatial Foundation / Remote sensing / Multi-modal / Multi-temporal / Disaster monitoring / Siamese networks / Deep forest / Multi-source datasets / Machine learning / Damage mapping … More / deep learning / deep forest / multi-modality / disaster monitoring … More Except Principal Investigator ３D土地被覆地図 / リモートセンシング / 数値標高モデル / 土地被覆地図 / 画像処理 / 地球観測 / 弱教師付き学習 / 3D土地被覆地図 Less

Robust Geospatial Foundation Models: Innovative Techniques and Comprehensive BenchmarksPrincipal Investigator
- Principal Investigator
  
  Xia Junshi
- Project Period (FY)
  2025 – 2028
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61010:Perceptual information processing-related
- Research Institution
  Institute of Physical and Chemical Research
3D land cover mapping from satellite images by weakly supervised learning
- Principal Investigator
  
  横矢直人
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61010:Perceptual information processing-related
- Research Institution
  The University of Tokyo
Deep forest for disaster monitoring with multi-temporal and multi-modal earth observation dataPrincipal Investigator
- Principal Investigator
  
  XIA JUNSHI
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61010:Perceptual information processing-related
- Research Institution
  Institute of Physical and Chemical Research

All 2023 2022 2021 2019

All Journal Article Presentation

[Journal Article] National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets2023
- Author(s)
  J. Xia, N. Yokoya, B. Adriano, and K. Kanemoto
- Journal Title
  
  International Journal of Applied Earth Observation and Geoinformation
  
  Volume: 117 Pages: 103193-103193
- DOI
  10.1016/j.jag.2023.103193
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K24865
[Journal Article] Frequency-based optimal style mix for domain generalization in semantic segmentation of remote sensing images2023
- Author(s)
  R. Iizuka, J. Xia, and N. Yokoya
- Journal Title
  
  IEEE Transactions on Geoscience and Remote Sensing
  
  Volume: 62 Pages: 1-14
- DOI
  10.1109/tgrs.2023.3344670
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K24865
[Journal Article] Landslide Extraction Using Mask R-CNN with Background-Enhancement Method2022
- Author(s)
  Yang Ruilin、Zhang Feng、Xia Junshi、Wu Chuyi
- Journal Title
  
  Remote Sensing
  
  Volume: 14 Issue: 9 Pages: 2206-2206
- DOI
  10.3390/rs14092206
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20309
[Journal Article] DML: Differ-Modality Learning for Building Semantic Segmentation2022
- Author(s)
  Xia Junshi、Yokoya Naoto、Baier Gerald
- Journal Title
  
  IEEE Transactions on Geoscience and Remote Sensing
  
  Volume: 60 Pages: 1-14
- DOI
  10.1109/tgrs.2022.3148383
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20309, KAKENHI-PROJECT-19H02408
[Journal Article] Building Damage Detection Using U-Net with Attention Mechanism from Pre- and Post-Disaster Remote Sensing Datasets2021
- Author(s)
  Wu Chuyi、Zhang Feng、Xia Junshi、Xu Yichen、Li Guoqing、Xie Jibo、Du Zhenhong、Liu Renyi
- Journal Title
  
  Remote Sensing
  
  Volume: 13 Issue: 5 Pages: 905-905
- DOI
  10.3390/rs13050905
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20309
[Journal Article] Learning from multimodal and multitemporal earth observation data for building damage mapping2021
- Author(s)
  Adriano Bruno、Yokoya Naoto、Xia Junshi、Miura Hiroyuki、Liu Wen、Matsuoka Masashi、Koshimura Shunichi
- Journal Title
  
  ISPRS Journal of Photogrammetry and Remote Sensing
  
  Volume: 175 Pages: 132-143
- DOI
  10.1016/j.isprsjprs.2021.02.016
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20309, KAKENHI-PROJECT-18K18067, KAKENHI-PROJECT-19H02408, KAKENHI-PROJECT-20H02411
[Journal Article] Flood Detection Using Multiple Chinese Satellite Datasets during 2020 China Summer Floods2021
- Author(s)
  Zhang Lianchong、Xia Junshi
- Journal Title
  
  Remote Sensing
  
  Volume: 14 Issue: 1 Pages: 51-51
- DOI
  10.3390/rs14010051
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20309
[Journal Article] Multi-Source Data Fusion Based on Ensemble Learning for Rapid Building Damage Mapping during the 2018 Sulawesi Earthquake and Tsunami in Palu, Indonesia2019
- Author(s)
  Adriano Bruno、Xia Junshi、Baier Gerald、Yokoya Naoto、Koshimura Shunichi
- Journal Title
  
  Remote Sensing
  
  Volume: 11 Issue: 7 Pages: 886-886
- DOI
  10.3390/rs11070886
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18067, KAKENHI-PROJECT-19K20309, KAKENHI-PROJECT-15KK0226
[Presentation] Building Damage Mapping with Self-Positive-Unlabeled Learning2021
- Author(s)
  Xia Junshi、Yokoya Naoto, Bruno Adriano
- Organizer
  Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop, NeurIPS 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20309
[Presentation] Building Damage Mapping Via Transfer Learning2019
- Author(s)
  Junshi Xia ; Bruno Adriano ; Gerald Baier ; Naoto Yokoya
- Organizer
  2019 IEEE International Geoscience and Remote Sensing Symposium
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20309
[Presentation] Cross-Domain-Classification of Tsunami Damage Via Data Simulation and Residual-Network-Derived Features From Multi-Source Images2019
- Author(s)
  Bruno Adriano ; Naoto Yokoya ; Junshi Xia ; Gerald Baier ; Shunichi Koshimura
- Organizer
  2019 IEEE International Geoscience and Remote Sensing Symposium
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20309

1. 横矢直人 (40710728)

# of Collaborated Projects: 2 results

# of Collaborated Products: 3 results
2. 石田隆 (80888462)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. Wang Junjue (91011930)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

XIA JUNSHI Ｘｉａ Ｊｕｎｓｈｉ

Research Projects

Research Products

Co-Researchers

Robust Geospatial Foundation Models: Innovative Techniques and Comprehensive BenchmarksPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

3D land cover mapping from satellite images by weakly supervised learning

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Deep forest for disaster monitoring with multi-temporal and multi-modal earth observation dataPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Frequency-based optimal style mix for domain generalization in semantic segmentation of remote sensing images2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Landslide Extraction Using Mask R-CNN with Background-Enhancement Method2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] DML: Differ-Modality Learning for Building Semantic Segmentation2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Building Damage Detection Using U-Net with Attention Mechanism from Pre- and Post-Disaster Remote Sensing Datasets2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Learning from multimodal and multitemporal earth observation data for building damage mapping2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Flood Detection Using Multiple Chinese Satellite Datasets during 2020 China Summer Floods2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Multi-Source Data Fusion Based on Ensemble Learning for Rapid Building Damage Mapping during the 2018 Sulawesi Earthquake and Tsunami in Palu, Indonesia2019

Author(s)

Journal Title

DOI

Data Source

[Presentation] Building Damage Mapping with Self-Positive-Unlabeled Learning2021

Author(s)

Organizer

Data Source

[Presentation] Building Damage Mapping Via Transfer Learning2019

Author(s)

Organizer

Data Source

[Presentation] Cross-Domain-Classification of Tsunami Damage Via Data Simulation and Residual-Network-Derived Features From Multi-Source Images2019

Author(s)

Organizer

Data Source

XIA JUNSHI ＸｉａＪｕｎｓｈｉ