Search Results for author: Masazumi Amakata

Found 6 papers, 0 papers with code

River Surface Patch-wise Detector Using Mixture Augmentation for Scum-cover-index

no code implementations13 Jul 2022 Takato Yasuno, Junichiro Fujii, Masazumi Amakata

We propose a patch-wise classification pipeline to detect scum features on the river surface using mixture image augmentation to increase the diversity between the scum floating on the river and the entangled background on the river surface reflected by nearby structures like buildings, bridges, poles, and barriers.

Image Augmentation Time Series +1

Road Surface Translation Under Snow-covered and Semantic Segmentation for Snow Hazard Index

no code implementations14 Jan 2021 Takato Yasuno, Junichiro Fujii, Hiroaki Sugawara, Masazumi Amakata

Based on these trained networks, we automatically compute the road to snow rate hazard index, indicating the amount of snow covered on the road surface.

Generative Adversarial Network Semantic Segmentation +1

Rain-Code Fusion : Code-to-code ConvLSTM Forecasting Spatiotemporal Precipitation

no code implementations30 Sep 2020 Takato Yasuno, Akira Ishii, Masazumi Amakata

Spatiotemporal precipitation forecasts may enhance the accuracy of dam inflow prediction, more than 6 hours forward for flood damage mitigation.

Precipitation Forecasting

Natural Disaster Classification using Aerial Photography Explainable for Typhoon Damaged Feature

no code implementations21 Apr 2020 Takato Yasuno, Masazumi Amakata, Masahiro Okano

This paper proposes a practical method to visualize the damaged areas focused on the typhoon disaster features using aerial photography.

General Classification

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