New Fully Automatic Multispectral Image Classification based on Scatterplot Method

A new multispectral image classification method is presented. The method is based on dividing the Near Infrared “NIR” and Visible Red “VR” scatterplot diagram into regions corresponding to their reflectance values. The best line discriminating the Soil’s components from the vegetated area is recognized by utilizing the least square fitting criterion. The vegetate line which differentiate the fully vegetated area from the partially vegetated (wet and dry) regions then identify by a line parallel to soil line. Water area, wet and dry vegetated areas are separated by lines perpendicular on the soil line. A tremendous encouraging classification results are obtained if they compared with the traditional supervised and unsupervised classification techniques.