Search Results for author: Bruno Adriano

Found 5 papers, 2 papers with code

Self-Supervised Learning for Building Damage Assessment from Large-scale xBD Satellite Imagery Benchmark Datasets

1 code implementation31 May 2022 Zaishuo Xia, Zelin Li, Yanbing Bai, Jinze Yu, Bruno Adriano

In the field of post-disaster assessment, for timely and accurate rescue and localization after a disaster, people need to know the location of damaged buildings.

Self-Supervised Learning

Building Damage Mapping with Self-PositiveUnlabeled Learning

no code implementations4 Nov 2021 Junshi Xia, Naoto Yokoya, Bruno Adriano

Humanitarian organizations must have fast and reliable data to respond to disasters.


Breaking the Limits of Remote Sensing by Simulation and Deep Learning for Flood and Debris Flow Mapping

1 code implementation9 Jun 2020 Naoto Yokoya, Kazuki Yamanoi, wei he, Gerald Baier, Bruno Adriano, Hiroyuki Miura, Satoru Oishi

We propose a framework that estimates inundation depth (maximum water level) and debris-flow-induced topographic deformation from remote sensing imagery by integrating deep learning and numerical simulation.

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