![]() ![]() ![]() For classification purposes, 13 classes representing the various land cover types that occur in this environment were defined for the site. Discrimination of land cover for this environment is difficult due to the similarity of spectral signatures for certain vegetation types. ![]() The vegetation classification scheme was developed by KSC personnel in an effort to define functional types that are discernable at the spatial resolution of Landsat and these AVIRIS data. Training data were selected using land cover maps derived from color infrared photography provided by the Kennedy Space Center and Landsat Thematic Mapper (TM) imagery. After removing water absorption and low SNR bands, 176 bands were used for the analysis. The KSC data, acquired from an altitude of approximately 20 km, have a spatial resolution of 18 m. AVIRIS acquires data in 224 bands of 10 nm width with center wavelengths from 400 - 2500 nm. The NASA AVIRIS (Airborne Visible/Infrared Imaging Spectrometer) instrument acquired data over the Kennedy Space Center (KSC), Florida, on March 23, 1996. Download MATLAB data files: Pavia Centre (123.6 MB) | Pavia Centre groundtruth (34.1 KB).Paolo Gamba from the Telecommunications and Remote Sensing Laboratory, Pavia university (Italy). It can be seen the discarded samples in the figures as abroad black strips. Both image groundtruths differenciate 9 classes each. Pavia Centre is a 1096*1096 pixels image, and Pavia University is 610*610 pixels, but some of the samples in both images contain no information and have to be discarded before the analysis. The number of spectral bands is 102 for Pavia Centre and 103 for Pavia University. These are two scenes acquired by the ROSIS sensor during a flight campaign over Pavia, nothern Italy. Groundtruth of Salinas-A dataset Groundtruth classes for the Salinas-A scene and their respective samples number ![]()
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