David Sánchez Pedroche

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Statistical Classification

Feature Extraction And Classification

Collaborative Environments

Top Venues

Int. J. Distributed Sens. Networks

Publications

David Sánchez Pedroche, Jesús García Herrero, José Manuel Molina López
Context learning from a ship trajectory cluster for anomaly detection. Neurocomputing 563 (2024)
David Sánchez Pedroche, Daniel Amigo, Jesús García, José Manuel Molina López, Juan Pedro Llerena
UAV airframe classification based on trajectory data in UTM collaborative environments. FUSION (2023)
David Sánchez Pedroche, Francisco Fariña Salguero, Daniel Amigo Herrero, Jesús García, José M. Molina López
UAV Airframe Classification Using Acceleration Spectrograms. SOCO (2) (2023)
Daniel Amigo, David Sánchez Pedroche, Jesús García, José Manuel Molina, Emmanuel Voet, Benoit Van Bogaert
Avoiding quantization effect in the vertical trajectory reconstruction filtering system. FUSION (2023)
David Sánchez Pedroche, Jesús García, José Manuel Molina
Compression of Clustered Ship Trajectories for Context Learning and Anomaly Detection. SOCO (2022)
Daniel Amigo Herrero, David Sánchez Pedroche, Jesús García, José Manuel Molina
Segmentation optimization in trajectory-based ship classification. J. Comput. Sci. 59 (2022)
Daniel Amigo Herrero, David Sánchez Pedroche, Jesús García, José M. Molina
Automatic Individual Tree Detection from Combination of Aerial Imagery, LiDAR and Environment Context. SOCO (2021)
Daniel Amigo Herrero, David Sánchez Pedroche, Jesús García, José Manuel Molina
Review and classification of trajectory summarisation algorithms: From compression to segmentation. Int. J. Distributed Sens. Networks 17 (10) (2021)
Daniel Amigo Herrero, David Sánchez Pedroche, Jesús García, José Manuel Molina
Automatic context learning based on 360 imageries triangulation and 3D LiDAR validation. FUSION (2021)
David Sánchez Pedroche, Daniel Amigo Herrero, Jesús García Herrero, José Manuel Molina López
Clustering of maritime trajectories with AIS features for context learning. FUSION (2021)
David Sánchez Pedroche, Daniel Amigo Herrero, Jesús García, José Manuel Molina
Architecture for Trajectory-Based Fishing Ship Classification with AIS Data. Sensors 20 (13) (2020)
Daniel Amigo Herrero, David Sánchez Pedroche, Jesús García, José Manuel Molina
Segmentation Optimization in Trajectory-Based Ship Classification. SOCO (2020)
Daniel Amigo Herrero, David Sánchez Pedroche, Jesús García Herrero, José Manuel Molina López
AIS trajectory classification based on IMM data. FUSION (2019)