Cognitive Reconstructive Remote Sensing for Decision Support in Environmental Resource Management
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Date
2006Author
Villalón-Turrubiates, Iván E.
Shkvarko, Yuriy
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In this paper, the problem of reconstruction of different characteristic signatures (CSs) of the monitored environmental scenes from the multi-spectral remotely sensed data is cast in the unified framework of the statistically optimal Bayesian inference making strategy aggregated with the proposed cognitive descriptive regularization paradigm. The reconstructed CS maps are then treated as sufficient statistical data required for performing the environmental resource management tasks. Simulation examples with the real-world remote sensing data are provided to illustrate the efficiency of the proposed approach.Cinvestav