Influence of the System MTF on the On-Board Lossless Compression of Hyperspectral Raw Data

A noticeable topic to be pursued in the field of on-board real-time data processing is the influence of the modulation transfer function (MTF) of the image acquisition system on the lossless compressibility of raw (that is, uncalibrated) hyperspectral data. Actually, notwithstanding the system devic...

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Main Authors: Bruno Aiazzi, Massimo Selva, Alberto Arienzo, Stefano Baronti
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/11/7/791
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spelling doaj-ae71687f053f4c8da48e0f3d886261d52020-11-25T00:54:42ZengMDPI AGRemote Sensing2072-42922019-04-0111779110.3390/rs11070791rs11070791Influence of the System MTF on the On-Board Lossless Compression of Hyperspectral Raw DataBruno Aiazzi0Massimo Selva1Alberto Arienzo2Stefano Baronti3Institute of Applied Physics “Nello Carrara”, IFAC-CNR, Research Area of Florence, 50019 Sesto Fiorentino (FI), ItalyInstitute of Applied Physics “Nello Carrara”, IFAC-CNR, Research Area of Florence, 50019 Sesto Fiorentino (FI), ItalyInstitute of Applied Physics “Nello Carrara”, IFAC-CNR, Research Area of Florence, 50019 Sesto Fiorentino (FI), ItalyInstitute of Applied Physics “Nello Carrara”, IFAC-CNR, Research Area of Florence, 50019 Sesto Fiorentino (FI), ItalyA noticeable topic to be pursued in the field of on-board real-time data processing is the influence of the modulation transfer function (MTF) of the image acquisition system on the lossless compressibility of raw (that is, uncalibrated) hyperspectral data. Actually, notwithstanding the system device is constrained by several design and manufacturing requirements, the impact of the on-board MTF on the performance of data compressors is becoming remarkable. In particular, the aim of reducing both transmission bandwidth/power and mass storage can be efficiently pursued. Such an analysis is expected to be useful especially for systems employed in mini-satellites, whose payload must be compact and light. From this perspective, this paper investigates the performance of a typical imaging system that acquires low/medium-spatial-resolution images, by considering high-resolution reference data, which simulate the real scene to be imaged. To this end, standard Consultative Committee for Space Data Systems (CCSDS) Aviris 2006 data have been chosen, due to their spatial resolution of <inline-formula> <math display="inline"> <semantics> <mrow> <mn>17</mn> </mrow> </semantics> </math> </inline-formula> m, which is adequate to be a reference for simulated data whose spatial resolution is foreseen between <inline-formula> <math display="inline"> <semantics> <mrow> <mn>50</mn> </mrow> </semantics> </math> </inline-formula> and <inline-formula> <math display="inline"> <semantics> <mrow> <mn>150</mn> </mrow> </semantics> </math> </inline-formula> m. MTF requirements are usually provided based on the cut-off value of the amplitude at the Nyquist frequency, which is defined as a half of the sampling frequency. Typically, a cut-off value between <inline-formula> <math display="inline"> <semantics> <mrow> <mn>0.2</mn> </mrow> </semantics> </math> </inline-formula> and <inline-formula> <math display="inline"> <semantics> <mrow> <mn>0.3</mn> </mrow> </semantics> </math> </inline-formula> ensures that a sufficient amount of information is delivered from the scene to the acquired image, by avoiding at the same time the degradation due to an excessive aliasing distortion. All the scores are achieved by running the standard lossless compression scheme CCSDS 1.2.3.0-B-1 for multispectral/hyperspectral data, as a function of the cut-off value and different noise acquisition levels. The final results, and related plots, show that this analysis can suggest a suitable choice for the cut-off value, to ensure both a sufficient quality and low bit rates for the transmitted data to the ground station.https://www.mdpi.com/2072-4292/11/7/791Modulation Transfer Function (MTF)hyperspectral raw datalossless compressionon-board real-time processingspatial resolutioncut-off valueCCSDS compression standardimage acquisition noisemini-satellites
collection DOAJ
language English
format Article
sources DOAJ
author Bruno Aiazzi
Massimo Selva
Alberto Arienzo
Stefano Baronti
spellingShingle Bruno Aiazzi
Massimo Selva
Alberto Arienzo
Stefano Baronti
Influence of the System MTF on the On-Board Lossless Compression of Hyperspectral Raw Data
Remote Sensing
Modulation Transfer Function (MTF)
hyperspectral raw data
lossless compression
on-board real-time processing
spatial resolution
cut-off value
CCSDS compression standard
image acquisition noise
mini-satellites
author_facet Bruno Aiazzi
Massimo Selva
Alberto Arienzo
Stefano Baronti
author_sort Bruno Aiazzi
title Influence of the System MTF on the On-Board Lossless Compression of Hyperspectral Raw Data
title_short Influence of the System MTF on the On-Board Lossless Compression of Hyperspectral Raw Data
title_full Influence of the System MTF on the On-Board Lossless Compression of Hyperspectral Raw Data
title_fullStr Influence of the System MTF on the On-Board Lossless Compression of Hyperspectral Raw Data
title_full_unstemmed Influence of the System MTF on the On-Board Lossless Compression of Hyperspectral Raw Data
title_sort influence of the system mtf on the on-board lossless compression of hyperspectral raw data
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2019-04-01
description A noticeable topic to be pursued in the field of on-board real-time data processing is the influence of the modulation transfer function (MTF) of the image acquisition system on the lossless compressibility of raw (that is, uncalibrated) hyperspectral data. Actually, notwithstanding the system device is constrained by several design and manufacturing requirements, the impact of the on-board MTF on the performance of data compressors is becoming remarkable. In particular, the aim of reducing both transmission bandwidth/power and mass storage can be efficiently pursued. Such an analysis is expected to be useful especially for systems employed in mini-satellites, whose payload must be compact and light. From this perspective, this paper investigates the performance of a typical imaging system that acquires low/medium-spatial-resolution images, by considering high-resolution reference data, which simulate the real scene to be imaged. To this end, standard Consultative Committee for Space Data Systems (CCSDS) Aviris 2006 data have been chosen, due to their spatial resolution of <inline-formula> <math display="inline"> <semantics> <mrow> <mn>17</mn> </mrow> </semantics> </math> </inline-formula> m, which is adequate to be a reference for simulated data whose spatial resolution is foreseen between <inline-formula> <math display="inline"> <semantics> <mrow> <mn>50</mn> </mrow> </semantics> </math> </inline-formula> and <inline-formula> <math display="inline"> <semantics> <mrow> <mn>150</mn> </mrow> </semantics> </math> </inline-formula> m. MTF requirements are usually provided based on the cut-off value of the amplitude at the Nyquist frequency, which is defined as a half of the sampling frequency. Typically, a cut-off value between <inline-formula> <math display="inline"> <semantics> <mrow> <mn>0.2</mn> </mrow> </semantics> </math> </inline-formula> and <inline-formula> <math display="inline"> <semantics> <mrow> <mn>0.3</mn> </mrow> </semantics> </math> </inline-formula> ensures that a sufficient amount of information is delivered from the scene to the acquired image, by avoiding at the same time the degradation due to an excessive aliasing distortion. All the scores are achieved by running the standard lossless compression scheme CCSDS 1.2.3.0-B-1 for multispectral/hyperspectral data, as a function of the cut-off value and different noise acquisition levels. The final results, and related plots, show that this analysis can suggest a suitable choice for the cut-off value, to ensure both a sufficient quality and low bit rates for the transmitted data to the ground station.
topic Modulation Transfer Function (MTF)
hyperspectral raw data
lossless compression
on-board real-time processing
spatial resolution
cut-off value
CCSDS compression standard
image acquisition noise
mini-satellites
url https://www.mdpi.com/2072-4292/11/7/791
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