Remote sensing recognition method for snow disturbance traces based on Gaussian differential model

Abstract

The invention provides a remote sensing recognition method for snow disturbance traces based on a Gaussian differential model. The remote sensing recognition method comprises the steps of (a) target region extraction, namely cutting out the remote sensing image of a target region needing to be recognized, (b) performing Gaussian differential filtering on the remote sensing image, and (c) accuracy assessment, namely comparing the remote sensing image before filtration with the filtered remote sensing image, analyzing a trace extraction result and assessing the accuracy of trace extraction. The remote sensing recognition method is capable of removing smooth background information by virtue of image enhancing processing and thus capable of effectively recognizing traces on snow, and therefore, an efficient detection technique for recognizing the snow traces based on high-resolution remote sensing images is established and automatic recognition and extraction of weak activity traces of people or animals on the snow can be realized; as a result, people can analyze the types of activities producing the traces and further analyze the sources and destinations of the activities; in addition, information support can be provided for departments such as animal protection and public safety management to assist with decision analysis work.

Description

technical field [0001] The invention relates to a remote sensing identification method, in particular to a remote sensing identification method for snow field disturbance traces based on a Gaussian difference model. Background technique [0002] my country is the country with the most developed snow cover in the middle and low latitudes, and there are large-scale snowfalls in winter and spring in the northern regions. Large-scale snow cover has a certain impact on people's travel and animal foraging activities. At the same time, it has a certain smoothing effect on the rough surface and produces a single background, which makes the activities of people or animals on the snow leave obvious traces. It is possible to track the activities of winter animals and identify the trajectories of people on the snow, and then analyze the habits and range of activities of winter animals, as well as the types of activities of people on the snow. [0003] The method of identifying and trac...

AI Technical Summary

Problems solved by technology

At present, the main trace identification and tracking method relies on the field search by ground personnel. This method is feasible in a small area and the surrounding environment is relatively familiar, and the application effect is very good; but for a large area of ​​research area, it is very time-consuming and laborious. Even doesn't work at all

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