Aggregation of Descriptive Regularization and Fuzzy Logic Techniques for Enhanced Remote Sensing Imaging

摘要

In this paper, the aggregation of the descriptive regularization and Fuzzy-Logic techniques is proposed for the enhancement/reconstruction of the power spatial spectrum pattern (SSP) of the wave field scattered from remotely sensed scenes. In particular, the Weighted Constrain Least Square (WCLS) and the Fuzzy anisotropic diffusion techniques are algorithmically adapted and implemented in a parallel fashion using commodity graphic processor units (GPUs) improving the time performance of real-time remote sensing applications. Experimental results show the performance efficiency both in resolution enhancement and in computational complexity reduction metrics with the presented approach.