EOSpython Version 0.0.11: A Framework for Scenario Generation and a Solution System for the Agile Earth Observation Satellite Scheduling Problem

Alex Elkjær Vasegaard; Andreas Kühne Larsen

doi:10.48550/arXiv.2410.13462

EOSpython Version 0.0.11: A Framework for Scenario Generation and a Solution System for the Agile Earth Observation Satellite Scheduling Problem

Alex Elkjær Vasegaard^*, Andreas Kühne Larsen

^*Kontaktforfatter

Publikation: Working paper/Preprint › Preprint

Abstract

EOSpython is a PyPI published Python package that encompass everything within a centralized earth observation satellite scheduling system in terms of customer database setup, scenario generation, pre-processing, problem setup, scheduling solution approach, decision maker preference integration, and visualization. The package is tailored to easily configure internal parameters and contribute with other solution approaches.

Originalsprog	Engelsk
Udgiver	arXiv
Antal sider	9
DOI	https://doi.org/10.48550/arXiv.2410.13462
Status	Udgivet - okt. 2024

Emneord

Earth Observation Satellite Scheduling
Benchmark problems
Python Package
Scenario Generator
Stereo and Strip Imaging
Multi-Objective Optimization Problem

Adgang til dokumentet

10.48550/arXiv.2410.13462Licens: CC BY 4.0

AUB Link

Søg efter materialet i Aalborg Universitetsbiblioteks søgemaskine

1 Konferenceabstrakt til konference
1 Poster

Setwise Preferences: A Case Study in High-Resolution EO Satellite Scheduling
Vasegaard, A. E., 30 jun. 2024.
Publikation: Konferencebidrag uden forlag/tidsskrift › Konferenceabstrakt til konference › Forskning › peer review

Åben adgang
Multi-Criteria Decision Making in Earth Observation Satellite Scheduling: Towards Autonomous Decision Making with Preference-based Optimization
Vasegaard, A. E., 9 nov. 2023.
Publikation: Konferencebidrag uden forlag/tidsskrift › Poster › Forskning

Åben adgang

Citationsformater

@misc{34f4b722dfcc4be1984196070b399ccf,

title = "EOSpython Version 0.0.11: A Framework for Scenario Generation and a Solution System for the Agile Earth Observation Satellite Scheduling Problem",

abstract = "EOSpython is a PyPI published Python package that encompass everything within a centralized earth observation satellite scheduling system in terms of customer database setup, scenario generation, pre-processing, problem setup, scheduling solution approach, decision maker preference integration, and visualization. The package is tailored to easily configure internal parameters and contribute with other solution approaches.",

keywords = "Earth Observation Satellite Scheduling, Benchmark problems, Python Package, Scenario Generator, Stereo and Strip Imaging, Multi-Objective Optimization Problem",

author = "Vasegaard, {Alex Elkj{\ae}r} and Larsen, {Andreas K{\"u}hne}",

year = "2024",

month = oct,

doi = "10.48550/arXiv.2410.13462",

language = "English",

publisher = "arXiv",

type = "WorkingPaper",

institution = "arXiv",

}

TY - UNPB

T1 - EOSpython Version 0.0.11

T2 - A Framework for Scenario Generation and a Solution System for the Agile Earth Observation Satellite Scheduling Problem

AU - Vasegaard, Alex Elkjær

AU - Larsen, Andreas Kühne

PY - 2024/10

Y1 - 2024/10

N2 - EOSpython is a PyPI published Python package that encompass everything within a centralized earth observation satellite scheduling system in terms of customer database setup, scenario generation, pre-processing, problem setup, scheduling solution approach, decision maker preference integration, and visualization. The package is tailored to easily configure internal parameters and contribute with other solution approaches.

AB - EOSpython is a PyPI published Python package that encompass everything within a centralized earth observation satellite scheduling system in terms of customer database setup, scenario generation, pre-processing, problem setup, scheduling solution approach, decision maker preference integration, and visualization. The package is tailored to easily configure internal parameters and contribute with other solution approaches.

KW - Earth Observation Satellite Scheduling

KW - Benchmark problems

KW - Python Package

KW - Scenario Generator

KW - Stereo and Strip Imaging

KW - Multi-Objective Optimization Problem

U2 - 10.48550/arXiv.2410.13462

DO - 10.48550/arXiv.2410.13462

M3 - Preprint

BT - EOSpython Version 0.0.11

PB - arXiv

ER -

EOSpython Version 0.0.11: A Framework for Scenario Generation and a Solution System for the Agile Earth Observation Satellite Scheduling Problem

Abstract

Emneord

Adgang til dokumentet

AUB Link

Fingeraftryk

Publikation

Setwise Preferences: A Case Study in High-Resolution EO Satellite Scheduling

Multi-Criteria Decision Making in Earth Observation Satellite Scheduling: Towards Autonomous Decision Making with Preference-based Optimization

Citationsformater