--- license: unknown --- # Description The Pavia Centre and University are two scenes acquired by the [ROSIS](http://www.opairs.aero/rosis_en.html) sensor during a flight campaign over Pavia, nothern Italy. The number of spectral bands is 102 for Pavia Centre and 103 for Pavia University. Pavia Centre is a 1096 $\times$ 1096 pixels image, and Pavia University is 610 $\times$ 610 pixels, but some of the samples in both images contain no information and have to be discarded before the analysis. The geometric resolution is 1.3 meters. Both image groundtruths differenciate 9 classes each. It can be seen the discarded samples in the figures as abroad black strips. # Characteristics **Groundtruth classes for the Pavia centre scene and their respective samples number** | # | Class | Samples | |---|----------------------|---------| | 1 | Water | 824 | | 2 | Trees | 820 | | 3 | Asphalt | 816 | | 4 | Self-Blocking Bricks | 808 | | 5 | Bitumen | 808 | | 6 | Tiles | 1260 | | 7 | Shadows | 476 | | 8 | Meadows | 824 | | 9 | Bare Soil | 820 | **Groundtruth classes for the Pavia University scene and their respective samples number** | # | Class | Samples | |---|----------------------|---------| | 1 | Asphalt | 6631 | | 2 | Meadows | 18649 | | 3 | Gravel | 2099 | | 4 | Trees | 3064 | | 5 | Painted metal sheets | 1345 | | 6 | Bare Soil | 5029 | | 7 | Bitumen | 1330 | | 8 | Self-Blocking Bricks | 3682 | | 9 | Shadows | 947 | # Quick look
Pavia
Sample band of Pavia Centre dataset.
Pavia gt
Groundtruth of Pavia Centre dataset.
PaviaU
Sample band of Pavia University dataset.
PaviaU gt
Groundtruth of Pavia University dataset.
# Credits Pavia scenes were provided by [Prof. Paolo Gamba](http://tlclab.unipv.it/sito_tlc/people.do?id=pgamba) from the [Telecommunications and Remote Sensing Laboratory](http://tlclab.unipv.it/), [Pavia university](http://www.unipv.eu/) (Italy). This dataset was originally collected by Manuel GraƱa, Miguel-Angel Veganzones, Borja Ayerdi. The original link for the dataset is available below: https://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes