An Evolutionary Optimization Control System for Remote Sensing Image Processing

Remote sensing image analysis has been a topic of ongoing research for many years and has led to paradigm shifts in the areas of resource management and global biophysical monitoring. Due to distortions caused by variations in signal/image capture and environmental changes, there is not a definite model for image processing tasks in remote sensing and such tasks are traditionally approached on a case-by-case basis. Intelligent control, however, can streamline some of the case-by-case scenarios and allow for faster, more accurate image processing to aid in more accurate remote sensing image analysis. This chapter will provide an evolutionary control system via two Darwinian particle swarm optimizations—one a novel application of DPSO—coupled with remote sensing image processing to help in the analysis of image data.

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