Dynamical Post-Processing of Environmental Electronic Maps Extracted from Large Scale Remote Sensing Imagery
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Fecha
2007
Autores
Shkvarko, Yuriy
Villalón-Turrubiates, Iván E.
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Editor
Institute of Electrical and Electronics Engineers
Resumen
Descripción
A new intelligent computational paradigm based on the use of dynamical filtering techniques modified to enhance the quality of reconstruction of physical characteristics of environmental electronic maps extracted from the large scale remote sensing imagery is proposed. A robust Kalman filter- based algorithm is developed for the analysis of the dynamic behavior of hydrological indexes extracted from the real-world remotely sensed scenes. The simulation results verify the efficiency of the proposed approach as required for decision support in environmental resources management.
Palabras clave
Remote Sensing, Dynamic Filtration, Classification, Decision Support, Environmental Resource Management
Citación
Iván E. Villalón-Turrubiates, Yuriy V. Shkvarko, “Dynamical Post-Processing of Environmental Electronic Maps Extracted from Large Scale Remote Sensing Imagery”, in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS): Sensing and Understanding our Planet, Barcelona España, 2007, pp. 1485-1488.