Research On Extracting The Subcompartment Boundary Line Based On Satellite Image Segmentation

This research used TM image to extract the boundary line and the research site is in Jiuqushui forestry region , Wengyuan county, Guangdong province. First, the the vector median filtering was employed to dispose TM image data in order to removal the noise. Compared with other common filters, it has a good accuracy of classification and this method can be used instead of the other common used filtering methods.The KFCM (Kernel Fuzzy C-means cluster) algorithm was employed to classify the TM image data. and the classification results were used to extract the subcompartment line. The subcompartment line in mountain area is affected by the slope and the aspect. According to this, a new classification method combined aspect information to the Kernel Fuzzy C-means cluster method was used to extract subcompartment line. The extracting accuracy is up to 76%.In order to use DEM to draw the subcompartment boundary, the dissertation proposed a new method, which was used DEM to extract the slope map. During the extracting work, it used image processing technology on the slope map supported on GIS technology. The results show that the 70% of the extracted polygon lines can be superposed to the investigated subcompartment boundary.The immersion watershed method often led to oversegmentation and the normalized cut is low efficient in running time-cost. The new segmentation method used the watershed transform results as input parameter for the normalized cut. The extracting result indicated that the accuracy, which combined immersion watershed and normalized cut to extract subcompartment line, is up to 84%. This is a good result for drawing the subcompartment line by computer and can be instead of visual interpretation in the forest resource investigation.