Object oriented implementation monitoring method of zone feature in land consolidation engineering using SPOT 5 imagery

Land consolidation is an effective activity realizing the sustainable utilization of land use, and implementation monitoring of zone type land consolidation engineering. Funded by National High Technology Research and Development Program of China, an object oriented monitoring method is produced in this research. Object correlation images(OCIs) are used to measure if a zonal objects is consolidated (i. e., changed). There are three correction parameters are used in this study: correlation, slope and intercept in correction analysis process, and spectral and textural (4 Grey Level Co-occurrence matrix (GLCM) features such as Homogeneity, Contrast, Angular second moment, Entropy) information are used in caculation of objects correction value. This approach consists in three phases: (1) multi-resulition image segmentation, (2) correlation analysis of two phase remote sensing images, and (3) implementation monitoring based on segmented correction results. Firstly, the temote sensing images before and after land consolidation are partitioned into objects using multi-resolution segmentation method. Secondly, correlation analysis is done between these images. Finally, focused on these regions, implementation monitoring is done based on the comparability of image objects in the same area resulting from these two phase remote sensing images. Accuracy assessment results indicate that this method can be used to monitor land consolidation engineering implementation status, total accuracy up to 86.30%.