Field Programmable Gate Array (FPGA) is a general purpose programmable logic device
that can be configured by a customer after manufacturing to perform from a simple logic gate …

Interval Type-2 fuzzy systems allow the possibility of considering uncertainty in models
based on fuzzy systems, and enable an increase of robustness in solutions to applications …

Deep neural networks have demonstrated the capability of solving classification problems
using hierarchical models, and fuzzy image preprocessing has proven to be efficient in …

The traditional ortho-rectification technique for remotely sensed (RS) images, which is
performed on the basis of a ground image processing platform, has been unable to meet …

This study used Xilinx Field Programmable Gate Arrays (FPGAs) to implement a functional
neuro-fuzzy network (FNFN) for solving nonlinear control problems. A functional link neural …

The present work presents a hardware architecture design for real-time edge detection
based on Interval Type-2 fuzzy systems. The proposed architecture is designed in order to …

Conventional rational polynomial coefficients (RPC)-based orthorectification methods are
unable to satisfy the demands of timely responses to terrorist attacks and disaster rescue. To …

Onboard image processing systems are used to maximize image data transmission
efficiency for large volumes of data gathered by Earth observation satellites. This book …

Hardware accelerators have been recently proposed for computationally extensive
applications like real-time video image processing systems. Contemporary hardware …

The traditional digital differential orthorectification uses a pixel-by-pixel correction method,
which is time-consuming and laborious to operate on a single image element and fails to …