Recognition of farm well in land consolidation area using high resolution remote sensing image

The recognition of small ground-objects, such as farm wells, is one of the most important contents of the remote sensing monitoring in land consolidation. To resolve the low efficiency shortcoming of the traditional correlation coefficient template matching method, gray normalized correlation coefficient of template matching method was presented, which was constraint-based the land reorganization planning map, to recognize the farm wells in land consolidation. The QuickBird image with high spatial resolution in 2006 was selected as the experimental data, and the study area of land consolidation was located in Zhaoquanying, Shunyi District of Beijing. And the algorithm was implemented in the TITAN IMAGE development environment. The experimental results showed that the recognition accuracy of that method could achieve 88.8% when the template image of the farm wells and the threshold of the normalized correlation coefficient were selected appropriately. The result proves the remote sensing monitoring of land consolidation is feasible. Meanwhile, the study is provides a new effective way to recognition of small objects in the land consolidation projects.