Towards the virtual remote sensing laboratory: Intelligent experiment design paradigm

Yuriy Shkvarko, Hector M. Pérez-Meana, Alejandro Castillo-Atoche

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

We address the unified intelligent descriptive experiment design regularization (DEDR) methodology for (near) real time formation/enhancement/ reconstruction/post-processing of the remote sensing (RS) imagery acquired with different thinned stationary multi-sensor arrays and/or synthetic aperture radar and present the elaborated "Virtual RS Laboratory" (VRSL) software that provides the end-user with efficient computational tools to perform numerical simulations of different collaborative RS imaging problems in the context of the proposed intelligent experiment design paradigm. Computer simulation examples are reported to illustrate the usefulness of the elaborated VRSL for systemlevel and algorithmic-level optimization of high-resolution image formation, enhancement, fusion and post-processing tasks performed with the real-world RS imagery.

Idioma originalInglés
Título de la publicación alojada2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1328-1331
Número de páginas4
Edición1
ISBN (versión impresa)9781424428083
DOI
EstadoPublicada - 2008
Evento2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings - Boston, MA, Estados Unidos
Duración: 6 jul. 200811 jul. 2008

Serie de la publicación

NombreInternational Geoscience and Remote Sensing Symposium (IGARSS)
Número1
Volumen4

Conferencia

Conferencia2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
País/TerritorioEstados Unidos
CiudadBoston, MA
Período6/07/0811/07/08

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