Towards the Virtual Remote Sensing Laboratory: Intelligent Experiment Design Paradigm

We address the unified intelligent descriptive experiment design regularization (DEDR) methodology for (near) real time formation/enhancement/reconstruction/post-processing of the remote sensing (RS) imagery acquired with different thinned stationary multi-sensor arrays and/or synthetic aperture radar and present the elaborated "Virtual RS Laboratory" (VRSL) software that provides the end-user with efficient computational tools to perform numerical simulations of different collaborative RS imaging problems in the context of the proposed intelligent experiment design paradigm. Computer simulation examples are reported to illustrate the usefulness of the elaborated VRSL for system-level and algorithmic-level optimization of high-resolution image formation, enhancement, fusion and post-processing tasks performed with the real-world RS imagery.