Dead tree positioning method and system

Abstract

The embodiment of the invention provides a dead tree positioning method and system. The method comprises the steps of acquiring a remote sensing image of a to-be-positioned are; Inputting the remote sensing image into a dead tree positioning model; outputting a positioning result corresponding to the remote sensing image, the positioning result comprising a dead tree candidate box of the remote sensing image of the region to be positioned and a positioning probability corresponding to each candidate box with the candidate boxes being used for indicating position information of the dead tree, and the positioning probability being used for indicating a probability that the dead tree exists in the candidate boxes; Wherein the dead tree positioning model is obtained based on the sample remotesensing image and the corresponding sample mark through deep learning training. According to the embodiment of the invention, the remote sensing image is input into the dead tree positioning model; and a positioning result corresponding to the remote sensing image is outout, so that the dead tree in the to-be-positioned area can be automatically positioned based on deep learning and the remote sensing image, and compared with manual positioning of the dead tree in the prior art, the positioning efficiency can be effectively improved, and data support is provided for cutting of the phytophthora.

Description

technical field [0001] Embodiments of the present invention relate to the field of forestry remote sensing, and more specifically, to a method and system for locating dead trees. Background technique [0002] After pine trees are stressed by abiotic factors such as temperature, water, and nutrition, or affected by biological factors such as pests and diseases, healthy pine needles are prone to die (dead pine trees). There are many reasons for the death of pine trees. Pine wood nematode is a main pathogenic factor of pine wilt disease, and pine trees can die within 40 days at the fastest after being infected with the disease. Epidemic investigation is the basis of pine wood nematode disease prevention and control work. In the prior art, the monitoring of dead pine trees mainly relies on on-the-spot investigation by forest protection personnel, and then statistics are reported. There are also high-spatial-resolution images collected by drones in areas with severe pine tree ep...

AI Technical Summary

Problems solved by technology

But relying entirely on human visual inspection of dead pine work programs is inefficient

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