Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Image Chain Simulation for Earth Observation Satellites
Date
2019-10-01
Author
Alici, Kamil B.
Öktem, Sevinç Figen
Karci, Ozgur
Yilmaz, A. Serdar
Selimoglu, Ozgur
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
289
views
0
downloads
Cite This
We present a general-purpose end-to-end image chain simulation (ICS) that enables to assess the image quality of a satellite imager for Earth observations. The image chain consists of four main components: radiometry, atmosphere, optics, and detector. In particular, ICS first computes the input radiance from the reflectance values of a high-resolution input, and then calculates the image radiance by using the optical transfer function (OTF) of the overall system. This OTF contains all the distortion effects due to atmosphere, optics, and detector. Finally, the signal on the detector, including the noise term, is computed and converted to digital counts. To evaluate the overall image quality, metrics such as peak signal-to-noise ratio and minimum resolvable contrast are used. To illustrate the utility and versatility of the developed ICS, several analyses are also performed that demonstrate the system performance of a generic satellite imagery. Our development provides a unified framework for the ICS developers of spaceborne Earth-observing systems. Such a complete end-to-end ICS is crucial for the effective development of an Earth observation satellite, especially in the design and test phases.
Subject Keywords
Computers in Earth Sciences
,
Atmospheric Science
URI
https://hdl.handle.net/11511/46362
Journal
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
DOI
https://doi.org/10.1109/jstars.2019.2944941
Collections
Department of Electrical and Electronics Engineering, Article
Suggestions
OpenMETU
Core
An interactive program for GPS-based dynamic orbit determination of small satellites
Karslıoğlu, Mahmut Onur (Elsevier BV, 2005-04-01)
This work introduces a near real-time dynamic orbit determination program for small satellites. A quality check of orbit data on ground is important for satellites with GPS positioning that is only available at discrete time epochs because of the limited power-supply onboard, so that space-borne GPS receivers are switched on/off intermittently, or because of possible malfunctioning of GPS receivers. The method of parameter estimation with space-borne GPS position fixes as observations is based on an extende...
Comparative evaluation of ISAR processing algorithms
Tufan, Alper; Dural Ünver, Mevlüde Gülbin; Koç, Seyit Sencer; Department of Electrical and Electronics Engineering (2012)
In this thesis, Inverse Synthtetic Aperture Radar image reconstruction techniques, named as Range Doppler, Back Projection, Polar Formatting, Multiple Signal Classification (MUSIC) and Time Frequency techniques are analysed and compared using simulations. Time Frequency techniques investigated in this thesis are Short Time Fourier Transform, Wigner-Ville Distribution, Smoothed Wigner-Ville Distribution and Choi-Williams Distribution. First, some fundamental concepts of ISAR, such as resolution, range profil...
Retrieval of fractional snow covered area from MODIS data by multivariate adaptive regression splines
KUTER, SEMİH; Akyürek, Sevda Zuhal; Weber, Gerhard-Wilhelm (Elsevier BV, 2018-02-01)
In this paper, a novel approach to estimate fractional snow cover (FSC) from MODIS data in a complex and heterogeneous Alpine terrain is represented by using a state-of-the-art nonparametric spline regression method, namely, multivariate adaptive regression splines (MARS). For this purpose, twenty MODIS - Landsat 8 image pairs acquired between April 2013 and December 2016 over European Alps are used. Fifteen of the image pairs are employed during model training and five images are reserved as an independent...
Soft clustering of GPS velocities from a homogeneous permanent network in Turkey
Ozdemir, Soner; Karslıoğlu, Mahmut Onur (Springer Science and Business Media LLC, 2019-08-01)
Global positioning system (GPS) velocities have long and widely been used on various scales in revealing the deformations of the continental lithosphere. We present a homogeneous geodetic velocity field with high precision derived from10-year-long permanent GPS observations throughout Turkey. Without any apriori information or assumption, the cluster analysis might be applied upon the velocity fields for inspection, before going further in the analyses used prevalently in tectonic studies. We first hard clu...
Ground-Based Hyperspectral Image Surveillance Systems for Explosive Detection: Part I-State of the Art and Challenges
Koz, Alper (Institute of Electrical and Electronics Engineers (IEEE), 2019-12-01)
Existing ground-based hyperspectral imaging (HSI) systems provide a good potential for standoff detection of explosives and their traces. The current technology, however, has still essential challenges to achieve a generic surveillance system for dynamic scenes with moving vehicles. In this regard, part I of this two-part article presents a state-of-the-art of existing HSI systems for explosive detection and discusses the future challenges for such a surveillance system. Considering the utilization of a lig...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
K. B. Alici, S. F. Öktem, O. Karci, A. S. Yilmaz, and O. Selimoglu, “Image Chain Simulation for Earth Observation Satellites,”
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
, pp. 4014–4023, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46362.