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Junjue Wang

University of Tokyo

Yayoi 1-1-1

Bunkyo-ku

Tokyo, 113-8657

Japan

SCHOLARLY PAPERS

3

DOWNLOADS

939

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

Earth Observation for Disaster Mapping: Benchmarks, Methods, Challenges and Future Perspectives

Number of pages: 52 Posted: 12 May 2026
RIKEN, the Institute of Physical and Chemical Research, RIKEN, the Institute of Physical and Chemical Research, The University of Tokyo, University of Tokyo, RIKEN, the Institute of Physical and Chemical Research, Brown University, The University of Tokyo, ETH Zurich, United Nations - Institute of Training and Research (UNITAR), United Nations - Institute of Training and Research (UNITAR), Barcelona School of Economics, RIKEN, the Institute of Physical and Chemical Research, Technical University of Munich, Stanford University, Linkoping University, IndependentIndependent, Texas A&M University (TAMU), Central Texas, affiliation not provided to SSRN, University of Twente, IndependentIndependent, Mohamed bin Zayed University of Artificial Intelligence, University of Indianapolis, University of Connecticut, University of British Columbia (UBC), Universite Grenoble-Alpes, Independent and IndependentIndependent
Downloads 705 (107,057)

Abstract:

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Earth observation, natural hazards, disaster mapping, deep learning, foundation models

2.

Remote Sensing Meta Modal Representation for Missing Modality Land Cover Mapping: From Earthmiss Dataset to Metars Method

Number of pages: 76 Posted: 13 Jun 2025
Wuhan University, Wuhan University, University of Tokyo, Wuhan University and Wuhan University
Downloads 170 (454,356)

Abstract:

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Multimodal, Missing-modalities, All-weatherMapping, Opticalimagery, Syntheticapertureradar(SAR)

3.

Deep Learning for Hyperspectral Video Object Tracking

Number of pages: 39 Posted: 01 Jun 2026
Wuhan University, Wuhan University, IndependentIndependent, University of Tokyo, The University of Tokyo, RIKEN, the Institute of Physical and Chemical Research, Stanford University, Duke University, Central South University, University of Wisconsin-Madison, Griffith University and Henan Academy of Sciences
Downloads 64 (1,145,425)

Abstract:

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Hyperspectral Video Object Tracking, Deep Learning, Benchmarks, Spatial-Spectral Fusion, Temporal Modeling