Fusion an Optimum Index Factor (OIF) technique with Decision Tree Classification (DTC) Method in processing high resolution images For quick surveying of land use and thematic maps

Abstract

Digital classification techniques provide quick surveying of land use and preparing the thematic maps. More accuracy of the digital classification methodology lead to more accuracy of the thematic maps with high resolution. An approach of statical analysis depending on Optimum Index Factor (OIF) technique were fused with Decision Tree Classification (DTC) method in determine the spectral critical value for separation the features by image processing programs. The architecture of this approach is designed for accuracy extracting the area and distribution from space image. Accuracy assessment of that approach is tested by comparing the supervised classification results for these feature from both the original bands of image and synthetical bands/indices of the image upon OIF value. Applied results of the approach on Shahba sub district by Quick Bird image showed the accuracy of: 97.13% for the suggested approach opposite 89.43% for supervised classification method of the synthetical bands image and 86.72% for original bands image. Accuracy of the approach come from the exact separation of urban feature than similar spectrally objects in the image as basalt exposures and roads, where achievement of the other processing methods are less.