2023 Fiscal Year Research-status Report
Multi-task learning based post-disaster mapping via multi-modal remote sensing observations
| Project/Area Number |
23K13419
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| Research Institution | Tohoku University |
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Principal Investigator |
袁 巍 東北大学, 災害科学国際研究所, 准教授 (60837475)
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| Project Period (FY) |
2023-04-01 – 2026-03-31
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| Keywords | Remote Sensing / Urban Mapping / Vision Transformer / DOM Generation / Depth Completion / Road Network Detection / Dense Image Matching / Graph Encoding |
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| Outline of Annual Research Achievements |
This year, I initiated the research on Multi-task learning based post-disaster mapping via multi-modal remote sensing observations.I have achieved several publications: for the initial raw data processing,two papers on utilizing aerial and satellite image for DOM generation,mosaicking has been published on Geo-Spatial Information Science and Remote Sensing, and one paper utilizing deep diffusion model for few-shot depth information completion are published in CVPR 2023. For the urban scene mapping part,one paper on utilizing multi-constraint vision transformer for the urban building mapping has been pulished in IEEE J-STARS and two papers on deep neural network based urban infrastructure mapping are published in IGARSS 2023.
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| Current Status of Research Progress |
Current Status of Research Progress
1: Research has progressed more than it was originally planned.
Reason
This year, I have moved smoothly on the developing the Multi-task learning based post-disaster mapping via multi-modal remote sensing observations. Although the complete post-disaster mapping is not finished yet, but most of the core components have been researched and initial methods such as DOM generation and urban mapping have been developed.The finished work has been published in prestigious conferences and journals.
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| Strategy for Future Research Activity |
In the second year of this project, I planned to further conduct relevant research on the multi-modal remote sensing observation based urban mapping and 3D information generation as planned, and also try to have a better integration of these methods for post-disaster assesment such as change detection and pusedo earth observation data generation.
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| Causes of Carryover |
I plan to use the amount to attend more international conference to find collaboration opportunities with researchers from China, Europe and U.S.A.
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