Observatorio de I+D+i UPM

Descripción
This work proposes a new approach for change/no-change unsupervised detection by means Multi-Resolution Analysis (MRA), specifically Dual Tree Complex Wavelet Transform (DT-CWT) to extract spectral component of the two input multitemporal images. The two spectral components are then compared using the spectral ERGAS index, which have been modified for lo-cal analysis. For thresholding optimization the receiver-operating-characteristics (ROC) curve has been used and its results compared with several automatic thresholding strategies. The proposed method was compared with classical unsupervised change detection approaches.
Internacional	Si
DOI
Edición del Libro
Editorial del Libro
ISBN	978-80-01-04868-9
Serie
Título del Libro	Remote Sensing and Geoinformation not only for Scientific Cooperation
Desde página	247
Hasta página	254

Esta actividad pertenece a memorias de investigación

• Autor: Diego Renza Torres (UPM)
• Autor: M.Estibaliz Martinez Izquierdo (UPM)
• Autor: Agueda Arquero Hidalgo (UPM)
• Autor: Javier Sanchez Hernandez (UPM)

• Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen
• Departamento: Arquitectura y Tecnología de Sistemas Informáticos