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Другие публикации лиц с тем же именем

Developing a method for urban damage mapping using radar signatures of building footprint in SAR imagery: A case study after the 2013 Super Typhoon Haiyan., , , , , и . IGARSS, стр. 3579-3582. IEEE, (2015)Evaluation of Deep Learning Models for Building Damage Mapping in Emergency Response Settings., , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)Sparse Representation-Based Inundation Depth Estimation Using SAR Data and Digital Elevation Model., , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)Technical Solution Discussion for Key Challenges of Operational Convolutional Neural Network-Based Building-Damage Assessment from Satellite Imagery: Perspective from Benchmark xBD Dataset., , , , , , , и . Remote. Sens., 12 (22): 3808 (2020)Novel Unsupervised Classification of Collapsed Buildings Using Satellite Imagery, Hazard Scenarios and Fragility Functions., , , , , и . Remote. Sens., 10 (2): 296 (2018)Optimizing the Post-disaster Resource Allocation with Q-Learning: Demonstration of 2021 China Flood., , , и . DEXA (2), том 13427 из Lecture Notes in Computer Science, стр. 256-262. Springer, (2022)Flood Inundation Depth Estimation from SAR-Based Flood Extent and DEM., , и . IGARSS, стр. 337-340. IEEE, (2023)Enhancement of Detecting Permanent Water and Temporary Water in Flood Disasters by Fusing Sentinel-1 and Sentinel-2 Imagery Using Deep Learning Algorithms: Demonstration of Sen1Floods11 Benchmark Datasets., , , , , , , , и . Remote. Sens., 13 (11): 2220 (2021)Towards Operational Satellite-Based Damage-Mapping Using U-Net Convolutional Network: A Case Study of 2011 Tohoku Earthquake-Tsunami., , и . Remote Sensing, 10 (10): 1626 (2018)Drawback in the Change Detection Approach: False Detection during the 2018 Western Japan Floods., , , , и . Remote Sensing, 11 (19): 2320 (2019)