Impact of hyperspectral image coding on subpixel detection

التفاصيل البيبلوغرافية
العنوان: Impact of hyperspectral image coding on subpixel detection
المؤلفون: Jörn Ostermann, Ulrike Pestel-Schiller, Wolfgang Gros, Karsten Vogt
المصدر: PCS
بيانات النشر: IEEE, 2016.
سنة النشر: 2016
مصطلحات موضوعية: Pixel, business.industry, 0211 other engineering and technologies, Pattern recognition, 02 engineering and technology, computer.file_format, Lossy compression, 010502 geochemistry & geophysics, 01 natural sciences, Peak signal-to-noise ratio, Subpixel rendering, Coding tree unit, JPEG 2000, Artificial intelligence, business, computer, Transform coding, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Coding (social sciences), Mathematics
الوصف: 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.
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::02029deede6b4dd483b14a23704b8c4aTest
https://doi.org/10.1109/pcs.2016.7906396Test
رقم الانضمام: edsair.doi...........02029deede6b4dd483b14a23704b8c4a
قاعدة البيانات: OpenAIRE