The Satellite Downlink Scheduling Problem: A Case Study of RADARSAT-2

Daniel Karapetyan (), Snezana Mitrovic-Minic (), Krishna T. Malladi () and Abraham P. Punnen ()
Additional contact information
Daniel Karapetyan: University of Nottingham
Snezana Mitrovic-Minic: MDA Systems Ltd.
Krishna T. Malladi: Simon Fraser University
Abraham P. Punnen: Simon Fraser University

Chapter 21 in Case Studies in Operations Research, 2015, pp 497-516 from Springer

Abstract: Abstract Mission planning operations of Earth observing satellites involve acquisition of images and downlinking (downloading) the acquired images of prescribed areas of the Earth to one or more ground stations. Efficient scheduling of image acquisition and image downlinking plays a vital role in successful satellite mission planning. The image acquisition and downlinking operations are often interlinked and solved using heuristic algorithms that take advantage of the flexibility allowed within such integrated systems. In this chapter, we study the mission planning operations of Canada’s Earth observing synthetic aperture radar (SAR) satellite, RADARSAT-2.

Keywords: Planning Horizon; Synthetic Aperture Radar; Visibility Mask; Construction Heuristic; Satellite Antenna (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (3)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4939-1007-6_21

Ordering information: This item can be ordered from
http://www.springer.com/9781493910076

DOI: 10.1007/978-1-4939-1007-6_21

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().