Watershed canopy automatic segmentation method combined with forest region three-dimensional morphological filtering

Abstract

The invention discloses a watershed canopy automatic segmentation method combined with forest region three-dimensional morphological filtering. The method comprises the steps of adopting topographic information and vegetation information to construct a three-dimensional morphological filtering operator; according to the three-dimensional morphological filtering operator, performing mask processingon the forest region multispectral image, and extracting a region of interest; constructing an open-close combination form filtering operator according to the forest region sample plot information, and performing operation on the region of interest to obtain a forest region significant optimization canopy map; extracting a gradient operator according to the significant optimization canopy graph,and generating a mark graph; and carrying out automatic segmentation on the mark map through a mark watershed segmentation algorithm to obtain a segmented forest area single-tree canopy structure. Themethod can effectively solve the problems of high labor intensity, hard working conditions, low efficiency, high routing inspection data error rate and the like when tree investigation is carried outthrough manual routing inspection under a traditional power transmission line channel; and the problem of fuzzy boundaries between different canopy layers is effectively solved, the closed single-tree canopy layer contour is obtained through segmentation, and the power line patrol efficiency can be greatly improved.

Description

Technical field [0001] The invention relates to the field of forestry remote sensing image intelligent processing, in particular to a watershed canopy automatic segmentation method combined with forest three-dimensional shape filtering, which is used for the automatic segmentation and extraction of a single tree canopy of a downlink channel of a transmission line. Background technique [0002] At present, overhead transmission lines are an important part of the national infrastructure. At present, the scale of my country's power grid continues to expand, long-distance transmission lines are growing rapidly, and the accompanying transmission line failures have also brought huge losses to people's daily lives and the national economy. In order to prevent and eliminate the occurrence of power grid safety accidents, it is necessary to conduct periodic power inspections on overhead transmission lines. However, manual line inspections have the disadvantages of high labor intensity, di...

AI Technical Summary

Problems solved by technology

However, manual line inspection has defects such as high labor intensity, difficult working conditions, low efficiency, long re-inspection cycle, and low accuracy of inspection data. Based on high-resolution images, the forest canopy of the downlink channel of the transmission line is automatically segmented. It can greatly improve the efficiency of power line inspection, which is the basis for ensuring the safety of overhead transmission lines

However, in high spatial resolution remote sensing images, while the canopy is clearly identifiable, the background noise is also very eye-catching. How to accurately extract the canopy of a single tree is still a difficult problem, although the traditional visual interpretation method can achieve a certain level. effect, but the workload is heavy, the work efficiency is low, and the experience and knowledge of the interpreter will cause errors in the interpretation results

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