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Impact of Hyperspectral Image Coding on Subpixel Detection

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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External Research Organisations

  • Fraunhofer-Institute of Optronics, System Technologies and Image Exploitation (IOSB)

Details

Original languageEnglish
Title of host publication2016 Picture Coding Symposium
Subtitle of host publicationPCS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (electronic)9781509059669
Publication statusPublished - 19 Apr 2017
Event2016 Picture Coding Symposium, PCS 2016 - Nuremberg, Germany
Duration: 4 Dec 20167 Dec 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 subject areas

Cite this

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.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer 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, Germany, 4 Dec 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 Article 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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Download

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