The aim of the study was to evaluate the application of AISA (Airborne Imaging Spectrometer for Applications) hyperspectral images for the classification of vegetation communities and Natura 2000 habitats of the Lower Narew Valley. The AISA Eagle data were acquired in 129 bands in the 400-970 nm range and 1 m spatial resolution. The provided data were previously radiometrically and geometrically corrected. During the pre-processing Minimum Noise Fraction transformation was done and first 20 bands were selected. Basing on field reference data received from the Institute of Technology and Life Sciences, the optimal method of determining training and verification polygons was determined. Using the Support Vector Machine (SVM) algorithm, the image was classified into 11 classes, including two Natura 2000 habitats - xeric sand calcareous grasslands (6120) and lowland hay meadows (6510). The classification result was verified using the reference data. The overall accuracy was equal 85.69% and Kappa coefficient 0.84. Then, a post-classification map of the studied area was prepared.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.