New high resolution single spectral band imagery offers the capability to conduct image classifications based on spatial patterns in imagery. A classification algorithm based on autocorrelation patterns was developed to automatically extract orchards and vineyards from satellite imagery. The algorithm was tested on IKONOS imagery over Granger, WA, which resulted in a classification accuracy of 95%.
Revised: October 25, 2005 |
Published: February 1, 2005
Citation
Warner T., and K.L. Steinmaus. 2005.Spatial Classification of Orchards and Vineyards with High Spatial Resolution Panchromatic Imagery.Photogrammetric Engineering and Remote Sensing 71, no. 2:179-187.PNNL-SA-38380.