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Impact of hyperspectral image coding on subpixel detection

 
: Pestel-Schiller, Ulrike; Vogt, Karsten; Ostermann, Jörn; Groß, Wolfgang

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Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society:
Picture Coding Symposium, PCS 2016. Proceedings : 4th-7th December 2016, Nürnberg, Germany
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-5090-5966-9
ISBN: 978-1-5090-5965-2
ISBN: 978-1-5090-5967-6 (Print)
S.432-436
Picture Coding Symposium (PCS) <32, 2016, Nürnberg>
Englisch
Konferenzbeitrag
Fraunhofer IOSB ()

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.

: http://publica.fraunhofer.de/dokumente/N-461419.html