Impact of Hyperspectral Image Coding on Subpixel Detection

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

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Externe Organisationen

  • Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (IOSB)
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Details

OriginalspracheEnglisch
Titel des Sammelwerks2016 Picture Coding Symposium
UntertitelPCS 2016
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781509059669
PublikationsstatusVeröffentlicht - 19 Apr. 2017
Veranstaltung2016 Picture Coding Symposium, PCS 2016 - Nuremberg, Deutschland
Dauer: 4 Dez. 20167 Dez. 2016

Abstract

Four lossy hyperspectral image data coding schemes are compared with regard to their aptitude for subpixel detection use. The coding standards H.265/HEVC and JPEG2000 are investigated with and without a PCA preprocessing. As evaluation criteria, both the 'Area under Receiver Operation Curve' as well as the 'Peak Signal to Noise Ratio' are calculated. The 'Area under Reiceiver Operation Curve' is based on the 'Spectral Angle Mapper'. Under both criteria, the two coding schemes with PCA preprocessing are the best while the JPEG2000 coding scheme works significantly less efficient. Furthermore, it was shown why the classification is not monotonically improving over increasing data rate. The PCA&HEVC and PCA&JPEG2000 schemes are stable at data rates of 0.1 bit per pixel per band [bpppb] and above while achieving an 'Area under ROC' of at least 0.99. If a data link of 0.3 bpppb is available, even the HEVC coding scheme reaches an 'Area under ROC' of 0.99 or more. Thus, it depends on the available data link, whether the HEVC coding scheme can be applied or if one of the more complex coding schemes with PCA preprocessing is required.

ASJC Scopus Sachgebiete

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Impact of Hyperspectral Image Coding on Subpixel Detection. / Pestel-Schiller, Ulrike; Vogt, Karsten; Ostermann, Jörn et al.
2016 Picture Coding Symposium: PCS 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7906396.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Pestel-Schiller, U, Vogt, K, Ostermann, J & Groß, W 2017, Impact of Hyperspectral Image Coding on Subpixel Detection. in 2016 Picture Coding Symposium: PCS 2016., 7906396, Institute of Electrical and Electronics Engineers Inc., 2016 Picture Coding Symposium, PCS 2016, Nuremberg, Deutschland, 4 Dez. 2016. https://doi.org/10.1109/pcs.2016.7906396
Pestel-Schiller, U., Vogt, K., Ostermann, J., & Groß, W. (2017). Impact of Hyperspectral Image Coding on Subpixel Detection. In 2016 Picture Coding Symposium: PCS 2016 Artikel 7906396 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/pcs.2016.7906396
Pestel-Schiller U, Vogt K, Ostermann J, Groß W. Impact of Hyperspectral Image Coding on Subpixel Detection. in 2016 Picture Coding Symposium: PCS 2016. Institute of Electrical and Electronics Engineers Inc. 2017. 7906396 doi: 10.1109/pcs.2016.7906396
Pestel-Schiller, Ulrike ; Vogt, Karsten ; Ostermann, Jörn et al. / Impact of Hyperspectral Image Coding on Subpixel Detection. 2016 Picture Coding Symposium: PCS 2016. Institute of Electrical and Electronics Engineers Inc., 2017.
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AU - Vogt, Karsten

AU - Ostermann, Jörn

AU - Groß, Wolfgang

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AB - Four lossy hyperspectral image data coding schemes are compared with regard to their aptitude for subpixel detection use. The coding standards H.265/HEVC and JPEG2000 are investigated with and without a PCA preprocessing. As evaluation criteria, both the 'Area under Receiver Operation Curve' as well as the 'Peak Signal to Noise Ratio' are calculated. The 'Area under Reiceiver Operation Curve' is based on the 'Spectral Angle Mapper'. Under both criteria, the two coding schemes with PCA preprocessing are the best while the JPEG2000 coding scheme works significantly less efficient. Furthermore, it was shown why the classification is not monotonically improving over increasing data rate. The PCA&HEVC and PCA&JPEG2000 schemes are stable at data rates of 0.1 bit per pixel per band [bpppb] and above while achieving an 'Area under ROC' of at least 0.99. If a data link of 0.3 bpppb is available, even the HEVC coding scheme reaches an 'Area under ROC' of 0.99 or more. Thus, it depends on the available data link, whether the HEVC coding scheme can be applied or if one of the more complex coding schemes with PCA preprocessing is required.

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