Abstract
One of the most critical challenges in applications that use hyperspectral image (HSI) is the demand for compression, which affects restrictions on the storage capacity and processing in space applications. In addition, these systems that operate in space are susceptible to faults due to adverse conditions and require the implementation of protection techniques to mitigate these faults and ensure correct operation. This work aimed to implement a fault-tolerant CCSDS 123 HSI compressor using a Hardware Description Language (HDL) and fault-tolerant techniques like Triple Modular Redundancy (TMR) and Hamming Error Correcting Code (ECC). A fault injection campaign verified the reliability of the techniques. Results show that the implementation accelerated the application by 24× compared to the software solution. The standard solution can process 20.57 MSa/s, and the hardened solution can process 13.81 MSa/s using 2.2× more Look-Up Tables (LUTs) and 1.4× more Flip-Flops (FFs). The low cost observed in the results makes this implementation a suitable solution for application in space systems targeting resource-efficient devices.