Method for preprocessing aerial survey data and quickly identifying vegetation based on unmanned aerial vehicle

Abstract

The invention is suitable for the field of computers, and provides an unmanned aerial vehicle-based aerial survey data preprocessing and rapid vegetation identification method, which comprises the following steps of: acquiring aerial image data, and establishing a three-dimensional vegetation landscape model which comprises vegetation distribution information and distribution information of the surface covered by vegetation; and capturing a vegetation distribution area exceeding a first preset coverage area in the three-dimensional vegetation landscape model, and dividing plant communities of vegetation. The method has the beneficial effects that the plant communities in the aerial survey area can be identified step by step; according to the embodiment of the invention, the known determined features of the first type of plant communities can be utilized to synchronously amplify the features for identifying the unknown plant communities, and the error of the second feature identification information can be effectively reduced, so that the identification error rate is reduced and the identification efficiency is improved.

Description

technical field [0001] The invention belongs to the field of computer technology, and in particular relates to a method for preprocessing aerial survey data based on an unmanned aerial vehicle and quickly identifying vegetation. Background technique [0002] UAV aerial survey is a powerful supplement to traditional aerial photogrammetry. It has the characteristics of flexible maneuverability, high efficiency and speed, precision and accuracy, low operating cost, wide application range, and short production cycle. Obtaining has obvious advantages. With the development of UAV and digital camera technology, digital aerial photography technology based on UAV platform has shown its unique advantages. The combination of UAV and aerial photogrammetry makes "UAV "Digital low-altitude remote sensing" has become a new development direction in the field of aerial remote sensing. UAV aerial photography can be widely used in major national project construction, disaster emergency respons...

AI Technical Summary

Problems solved by technology

[0004] The current vegetation type identification basically relies on algorithm identification, such as vegetation identification based on infrared spectroscopy, but there is a problem of high intensity of interpretation work, and some rely on manual visual interpretation, but the accuracy of interpretation is affected by the experience and experience of visual interpreters. Restricted by various factors such as the familiarity of the interpretation area, it has great subjectivity and subjectivity. On the other hand, how to quickly obtain vegetation types from aerial survey data is a difficult problem for application personnel in professional fields.

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