Filtration and Enhancement of Environmental Characteristics Extracted from SAR Imagery Using Dynamic Kalman Technique
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Fecha
2005
Autores
Villalón-Turrubiates, Iván E.
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Editor
Institute of Electrical and Electronics Engineers
Resumen
Descripción
In this study, we propose a new computational paradigm based on the use of the Kalman filtering technique adjusted to reconstruct the dynamic behavior of the physical and electrical characteristics of different environmental monitoring data provided via reconstructive SAR imagery. As a matter of particular study we develop and report the Kalman filter-based algorithm for high-resolution filtration of the dynamic behavior of the hydrological indexes of the particular real-world SAR images of the test remotely sensed scenes. The simulation results verify the efficiency of the proposed approach.
Palabras clave
Image Processing, Kalman Filtering, Remote Sensing, SAR
Citación
Ivan E. Villalon-Turrubiates, “Filtration and Enhancement of Environmental Characteristics Extracted from SAR Imagery Using Dynamic Kalman Technique”, en Proceedings of the 3rd International Workshop on Random Fields Modeling and Processing in Inhomogeneous Media (RFMPIM), IEEE Signal Processing Society, Guanajuato México, 2005, pp. 16-18.