A Tobacco Field Automatic Recognition Method Based on UAV Data

Abstract

The invention discloses a tobacco field automatic recognition method based on UAV image data. The identification method includes: obtaining the UAV image data at the beginning of the seedling stage after the flue-cured tobacco is transplanted; supervised classification and extraction of mixed images of tobacco field plastic film and buildings in the UAV image data; The erosion and expansion algorithm removes the building part in the mixed image to obtain a rough tobacco field mulch spatial distribution map; the corrosion algorithm is used to remove noise and broken patterns from the rough tobacco field mulch spatial distribution map to obtain a fine smoke field. Field mulch distribution map; use expansion algorithm to expand the fine tobacco field mulch distribution map to obtain a preliminary extraction distribution map of tobacco fields; use threshold segmentation method to remove impurity plots from the preliminary extraction tobacco field distribution map to obtain tobacco field spatial distribution As shown in the figure, the impurity plots are plots other than tobacco fields. It realizes the automatic identification and analysis of the tobacco field image and the distribution and planting area of ​​the tobacco field, can monitor the data of the tobacco field area in real time, and improves the accuracy and efficiency of the spatial distribution and area investigation of the tobacco field.

Description

technical field [0001] The invention relates to the field of tobacco field monitoring, in particular to an automatic identification method for tobacco fields based on drone data. Background technique [0002] my country is one of the most important tobacco production and consumption countries in the world. Flue-cured tobacco is the type of tobacco with the largest cultivation area in my country and the world. It is the main raw material of the cigarette industry, an important agricultural product in my country's economic crops, and one of the bulk agricultural products exported by my country. Tobacco planting information is an important basis for tobacco production management, can provide decision support for tobacco planting and acquisition control, and is an important economic information for national macro-management and decision-making. The estimation of tobacco planting area is helpful to grasp the situation of tobacco planting and supervise the planting scale of tobac...

AI Technical Summary

Problems solved by technology

[0004] Compared with bulk crops, tobacco plots are fragmented and scattered, and there are many crops planted in the same period, which are easy to be mixed with other crop types. For remote sensing data with spatial resolution and time phase, radar data usually have low resolution and cannot meet the needs of tobacco. The need for real-time monitoring of spatial distribution

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