System simulation of land use spatial planning method and environment management strategy analysis by using machine vision

Abstract

Abstract In March 2018, the State Council issued a reform plan for institutions. Through the establishment of the Ministry of natural resources, the planning of the national space system was carried out, and the historical division phenomenon within the administrative institutions was solved by using the transformation of fragmentation. Subsequently, relevant functional departments began to design the land spatial planning system and coordinate the mechanism. From the policy guidance, it can be seen that land use spatial planning has risen to the central position in the national management system. From the current situation of planning control, planning control becomes more and more important in the management process. At the same time, the construction of ecological civilization requires us to examine the regulatory mechanism from a new perspective. Therefore, based on machine vision technology, this paper develops a land use spatial planning method system. The sub-pixel edge detection algorithm used in the system design can obtain the point coordinates on the edge of the gauge block with high accuracy. After testing, we can see that in terms of storage space, the octree map used in this paper can save more space than the point cloud map under the same resolution. Finally, this paper tests the system and finds that: in the land use spatial planning method system, the actual effect of the optimization algorithm in this paper is better than that before optimization, which proves that the land use spatial planning method system designed in this work is effective. In this paper, machine vision technology is introduced into the field of land use spatial planning, and a kind of effective system method is designed.