Artificial Neural Networks and Evolutionary Computation in Remote Sensing, Hardcover/Taskin Kavzoglu - Mdpi AG

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Artificial Neural Networks (ANNs) and Evolutionary Computation methods have been successfully applied in Remote Sensing applications since they offer unique advantages for the analysis of remotely-sensed images.
For this purpose, Evolutionary algorithms becom.
Thanks to new sensors, we have images with more spectral bands at higher spatial resolutions, which clearly recall big data problems.
ANNs are effective in finding underlying relationships and structures within multidimensional datasets.
Artificial Neural Networks (ANNs) and Evolutionary Computation methods have been successfully applied in Remote Sensing applications since they offer unique advantages for the analysis of remotely-sensed images