Study on automatic identification of tower base construction based on satellite image

Abstract

In order to better research area of construction project construction disturbance and soil erosion situation, research scholars in view of the high voltage power transmission and transformation project of route planning, site supervision, puts forward the satellite image as the core of Kentucky construction automatic identification method, it not only can help the project construction and supervision staff to grasp more information data, can also provide effective basis for project construction management. Therefore, this article studies in the construction status quo, on the basis of understanding the current monitoring system design based on high voltage transmission line images, automatic gain disturbance area of construction project, and using convolution neural network algorithm and high score 2 satellite remote sensing image, the analysis of fast automatic recognition of high pressure disturbance area card machine and application method. The final results show that both of them can quickly identify the construction labor area, and the actual data obtained are consistent. Compared with the actual measured value of the disturbance area, the maximum value of the relative error can reach 11.77%, and the minimum value can reach 1.20%.