Thesis on multispectral image fusion (thermal and RGB) and its methodological study through deep learning, extended to multisensor integration including LiDAR.

Publications and Conferences (4)

  • Journal Articles Enrique Heredia-Aguado, Juan Jose Cabrera, Luis Miguel Jimenez, David Valiente, Arturo Gil. (2025). Static Early Fusion Techniques for Visible and Thermal Images to Enhance Convolutional Neural Network Detection: A Performance Analysis. Remote Sensing. Vol. 17(6). DOI [link]
  • Conference Papers Enrique Heredia-Aguado, Marcos Alfaro-Perez, Maria Flores, Luis Paya, David Valiente, Arturo Gil. (2025). A Robust Comparative Study of Adaptative Reprojection Fusion Methods for Deep Learning Based Detection Tasks with RGB-Thermal Images. Proceedings of the 22nd International Conference on Informatics in Control, Automation and Robotics (ICINCO). DOI
  • Conference Papers Enrique Heredia-Aguado, David Valiente, Arturo Gil, Miriam Maximo, Luis Paya. (2024). Fusion estatica de imagenes del espectro visible y termico para una mejor deteccion de personas mediante Redes Neuronales Convolucionales: un analisis del rendimiento. Actas del Simposio de Robotica, Bioingenieria y Vision por Computador.
  • Presentations Enrique Heredia-Aguado, Alejandro Rujano, David Valiente, Arturo Gil. (2026). Tecnicas de fusion de imagenes multiespectrales para una mejor deteccion mediante algoritmos de aprendizaje profundo. VI Congreso Anual de Estudiantes de Doctorado (UMH).