1. Repositorio Institucional Universidad Nacional de Ingeniería

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Issue DateTitleAuthor(s)
Jun-2021Disaster Intensity-Based Selection of Training Samples for Remote Sensing Building Damage ClassificationMoya, Luis; GeiB, Christian; Member; IEEE; Hashimoto, Masakazu; Mas, Erick; Koshimura, Shunichi; Strunz, Günter
Jun-2020Detecting urban changes using phase correlation and ℓ1-based sparse model for early disaster response: A case study of the 2018 Sulawesi Indonesia earthquake-tsunamiMoya, Luis; Muhari, Abdul; Adriano, Bruno; Koshimura, Shunichi; Mas, Erick; Marval Perez, Luis R.; Yokoya, Naoto
Jun-2020Characteristics of Tsunami Fragility Functions Developed Using Different Sources of Damage Data from the 2018 Sulawesi Earthquake and TsunamiMas, Erick; Paulik, Ryan; Pakoksung, Kwanchai; Adriano, Bruno; Moya, Luis; Suppasri, Anawat; Muhari, Abdul; Khomarudin, Rokhis; Yokoya, Naoto; Matsuoka, Masashi; Koshimura, Shunichi
Jul-2020Learning from the 2018 Western Japan Heavy Rains to Detect Floods during the 2019 Hagibis TyphoonMoya, Luis; Mas, Erick; Koshimura, Shunichi
Sep-2021Model-based analysis of multi-UAV path planning for surveying postdisaster building damageNagasawa, Ryosuke; Mas, Erick; Moya, Luis; Koshimura, Shunichi
Apr-2021The Potential Role of News Media to Construct a Machine Learning Based Damage Mapping FrameworkOkada, Genki; Moya, Luis; Mas, Erick; Koshimura, Shunichi
Jun-2022Brief communication: Radar images for monitoring informal urban settlements in vulnerable zones in Lima, PeruMoya, Luis; Garcia, Fernando; Gonzales, Carlos; Diaz, Miguel; Zavala, Carlos; Estrada, Miguel; Yamazaki, Fumio; Koshimura, Shunichi; Mas, Erick; Adriano, Bruno

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