Remote Sensing Recognition Method of Snow Disturbance Traces Based on Difference of Gaussian Model

A Gaussian difference and remote sensing recognition technology, applied in the field of remote sensing recognition, can solve problems such as unworkable, time-consuming and labor-intensive, and achieve the effect of assisting decision-making analysis work.

Active Publication Date: 2017-06-30
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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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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  • Remote Sensing Recognition Method of Snow Disturbance Traces Based on Difference of Gaussian Model
  • Remote Sensing Recognition Method of Snow Disturbance Traces Based on Difference of Gaussian Model
  • Remote Sensing Recognition Method of Snow Disturbance Traces Based on Difference of Gaussian Model

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Embodiment Construction

[0052] The present invention will be further described in conjunction with accompanying drawing:

[0053] 1. Research area and research data

[0054] The traces on the snow-covered river surface were selected as the research object. For the complex ground background, the frozen river surface is closer to a smooth background, and the snow coverage makes the river surface a single uniform background. At the same time, the river surface is also the only passage for people to cross the river and animal migration in winter, which is of great significance for the study of animal migration and the analysis of human activity categories.

[0055] The study area is located in the Tumen River section between Baijin Township and Sanhe Township, Longjing City, Yanbian Korean Autonomous Prefecture, Jilin Province (latitude and longitude 129.5E, 42.4N). This area belongs to the temperate monsoon climate with four distinct seasons, but the latitude is higher, the winter is cold, and the tim...

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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...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/40
Inventor 李强子杜鑫刘吉磊王红岩
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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