Intelligent experiment design-based virtual remote sensing laboratory

Abstract

We address unified intelligent descriptive experiment design regularization (DEDR) methodology for computer-aided investigation of new intelligent signal processing (SP) perspectives for collaborative remote sensing (RS) and distributed sensor network (SN) data acquisition, intelligent processing and information fusion. The sophisticated "Virtual RS Laboratory" (VRSL) software elaborated using the proposed DEDR methodology is presented. The VRLS provides the end-user with efficient computational tools to perform numerical simulations of different RS imaging problems. Computer simulation examples are reported to illustrate the usefulness of the elaborated VRSL for the algorithmic-level investigation of high-resolution image formation, enhancement, fusion and post-processing tasks performed with the artificial and real-world RS imagery. © 2009 Springer-Verlag Berlin Heidelberg.