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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Cognitive Research Remote Sensing for Decision Support in Environmental Resource Management

Cognitive Research Remote Sensing for Decision Support in Environmental Resource Management
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Author(s): Ivan E. Villalon-Turrubiates (IEEE, CINVESTAV, Unidad Guadalajara, Mexico) and Yuriy V. Shkvarko (IEEE, CINVESTAV, Unidad Guadalajara, Mexico)
Copyright: 2006
Pages: 3
Source title: Emerging Trends and Challenges in Information Technology Management
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59904-019-6.ch283
ISBN13: 9781616921286
EISBN13: 9781466665361

Abstract

In this paper, the problem of reconstruction of different characteristic signatures (CSs) of the monitored environmental scenes from the multispectral 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.

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