Study On Sub-compartment Division Of Tianshan Forest Based On High Spatial Resolution Satellite Images And Multi-Scale Image Segmentation Methods

Sub-compartment division is the one of the primary tasks and major contents in the forest resource inventory, as well as the main business of the forest resources management and dynamic monitoring, which plays a vital role in the scientific researches, such as the forestry production and management and forest eco-environment. A review of the current studies, the specifications of the sub-compartment division is quite limited in the indicator information of image, and it is difficult to achieve satisfactory result of sub-compartment boundary with single-scale image segmentation and classified information, due to the disadvantages, such as the inherent multi-scale features of the forest, the consideration of different scales of forest features in the sub-compartment division, limited spectral information of the high spatial resolution remote sensing image (HSRRSI). In view of these limitations, the stands classification index is constructed based on the object primitive and stands level classification result, and the stands classification and sub-compartment boundary extraction (SBE) are carried out for trying to explore a new thought of the SBE of the HSRRSI, on the basis of the construction of multi-scale segmentation method and optimal segmentation scale selection.The Tekesi forest farm of Xinjiang province, P. R. China is taken as the study area, and the study on the HSRRSI SBE of the forest is launched by following "image representation of forest information→ multi-scale image segmentation and information extraction→ sub-compartment recognition". Experiments are conducted in Tianshan forest, and according to the result, the method is favorable for the stands classification and sub-compartment extraction of the experiment region. The multi-scale structural index of the stands classification proposed in this dissertation can not only carry out the stands classification, SBE in the forest industry, but also be applied to the division, classification of the urban building zone or residence zone, etc.