Intelligent Processing of Remote Sensing Imagery for Decision Support in Environmental Resource Management: A Neural Computing Paradigm
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Date
2005Author
Shkvarko, Yuriy
Villalón-Turrubiates, Iván E.
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In this study, we propose a new neural network (NN) computational paradigm to resolve the resource management decision support (DS) oriented problems based on reconstructive remote sensing (RS) imaging with the use/fusion of multi- sensor systems as required for enhanced DS in environmental resource management and other related fields in DS technologies. The developed NN paradigm addresses a framework for resolving the computational problems related to the end-user DS in environmental monitoring based on the intelligent RS image reconstruction/enhancement.Cinvestav