Towards the Virtual Remote Sensing Laboratory: Intelligent Experiment Design Paradigm

Author

Shkvarko, Yuriy ; Pérez-Meana, Hector M. ; Castillo-Atoche, Alejandro

Author_Institution

ESIME del IPN, Unidad Culhuacan, Mexico City

Volume

4

fYear

2008

fDate

7-11 July 2008

Abstract

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.

Keywords

geophysical signal processing; geophysical techniques; graphical user interfaces; image fusion; image reconstruction; numerical analysis; remote sensing; software tools; synthetic aperture radar; VRSL software; Virtual RS Laboratory software; algorithmic level optimization; descriptive experiment design regularization; end user computational tools; high resolution image fusion; intelligent experiment design paradigm; numerical simulations; remote sensing image enhancement; remote sensing image formation; remote sensing image post processing; remote sensing image reconstruction; synthetic aperture radar; system level optimization; thinned stationary multisensor arrays; unified intelligent DEDR; virtual remote sensing laboratory; Collaborative software; Collaborative tools; Design methodology; High-resolution imaging; Image reconstruction; Laboratories; Numerical simulation; Remote sensing; Software performance; Software tools; Experiment design; remote sensing imagery; sensor fusion; simulations software;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International

Conference_Location

Boston, MA

Print_ISBN

978-1-4244-2807-6

Electronic_ISBN

978-1-4244-2808-3

Type

conf

DOI

10.1109/IGARSS.2008.4779976

Filename

4779976