ULPGC plastic identification

Description

Hyperspectral reflectance images for 16 virgin plastic objects that were captured using the Specim FX10 (400 – 1000 nm, 224 bands) and Specim FX17 (900 – 1700 nm, 224 bands) sensors. Samples were scanned in continuous mode on a motorised stage under halogen illumination. Raw data were calibrated to reflectance using a Spectralon white calibration standard and dark reference (lens covered). Raw data, white and black references, and resultant reflectance are provided for each sensor. The calibrated FX17 is spatially aligned (RESAMP_CAL_Plastic_FX17_0005) with the FX10 data to identify the Regions Of Interest (ROIs) for later pixel extraction and classification. Classes shape contains ROIs for each class (the polygons .shp, .shx, and .dbf). Objects: 1. Fruit net (suspected HDPE) 2. Transparent plastic bag (suspected HDPE) 3. White plastic bag (suspected LDPE) 4. White cereals plastic bag (suspected HDPE) 5. Toothpaste (ground truth HDPE) 6. Toothpaste cap (suspected PP) 7. Sanex shampoo cap (suspected HDPE) 8. Sanex shampoo (ground truth HDPE) 9. Plastic cup (ground truth PS) 10. Water bottle cap (ground truth HDPE) 11. Tofu container (ground truth PP) 12. Transparent food bag (suspected LDPE) 13. Shopping bag (ground truth LDPE) 14. Tupperware (ground truth PP) 15. White cork (ground truth PS) 16. Straws (16A - dark straws suspected HDPE / 16B - light straws suspected PP) More information about data capture: Morales, A., Horstrand, P., Guerra, R., Leon, R., Ortega, S., Díaz, M., ... & Sarmiento, R. (2022). Laboratory hyperspectral image acquisition system setup and validation. Sensors, 22(6), 2159.

Institutions

• Universidad de Las Palmas de Gran Canaria

  Canary Islands, Las Palmas de Gran Canaria

Categories

Licence