An automatic method for vine detection in airborne imagery using wavelet transform and multiresolution analysis

The problem of automatic vine detection from airborne Infrared Color (IRC) images is addressed. An automatic method was designed, based on a separate modeling of the textural and spectral information extracted from the data. A multi-resolution analysis associated with a wavelet transform allows the separation of spectral and spatial information. After a description of the vine detection problem, the automatic method is described. An example appli cation is proposed and a quantitative evaluation of the results achieved is presented. The analysis of the results demonstrates the efficiency of the method. The square system of planting is the main source of errors. But thi s growing technique is now nearly abandoned in France due to mechanization. Thus, this method may help photointerpreters in the updating or definition of agricultural registers of vineyards as defined by the European Commissi on.