Towards the virtual remote sensing laboratory: Intelligent experiment design paradigm

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 systemlevel and algorithmic-level optimization of high-resolution image formation, enhancement, fusion and post-processing tasks performed with the real-world RS imagery.

Original languageEnglish
Title of host publication2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1328-1331
Number of pages4
Edition1
ISBN (Print)9781424428083
DOIs
StatePublished - 2008
Event2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings - Boston, MA, United States
Duration: 6 Jul 200811 Jul 2008

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Number1
Volume4

Conference

Conference2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
Country/TerritoryUnited States
CityBoston, MA
Period6/07/0811/07/08

Keywords

  • Experiment design
  • Remote sensing imagery
  • Sensor fusion
  • Simulations software

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