Automatic Extraction Method of Roadside Trees Based on Geographic National Conditions Data and Image Classification

Abstract

The invention discloses a roadside tree automatic extraction method based on geographical national conditions data and image classification, which is characterized in that it includes the following steps: deriving road network data from a geographical national condition database, constructing road surfaces according to the road network data, and constructing roads according to the road surfaces Recognition area; Geographic national conditions database derives forest map spot, combines forest map spot and road identification area to determine the first area and / or area to be supplemented; According to the roadside tree determination step, the roadside tree area is obtained from the first area, and / or According to the roadside tree determination step, the supplementary roadside tree area is obtained from the area to be supplemented; information is extracted from the reserved roadside tree area and / or supplementary roadside tree area; the beneficial effect of the present invention is to prevent loss of effective information and occurrence of In the case of data redundancy, through the combination of geographic national conditions data and various images, the roadside tree area can be quickly extracted in the forest coverage calculation, reducing the statistics time and information extraction time, and reducing the calculation cost.

Description

technical field [0001] The invention belongs to the field of remote sensing image data processing and information extraction, and in particular relates to an automatic extraction method for roadside trees based on geographic national conditions data and image classification. Background technique [0002] Side trees (also known as roadside trees) refer to all kinds of bamboo and wood planted in houses, villages, roads, water systems, etc. with an area of ​​less than 0.067 hectares. As an important part of forest coverage and forest area, surrounding trees can not only increase forest carbon sequestration and develop a low-carbon economy, but also ensure the healthy development of forest resources and enhance the potential of carbon sinks. They play an important role in environmental regulation. and social service functions. And with the increase of urban area and population density, Bush and DzifaAdimle Puplampu and others believe that urban green space composed of trees all...

AI Technical Summary

Problems solved by technology

[0005] 1. Less consideration is given to the selection method of remote sensing image bands, and there are problems of losing effective information and data redundancy

[0006] 2. In the calculation of forest coverage, due to the sporadic distribution of trees around and the extraction method of field research, the statistical time is long, the calculation cost is large, and the efficiency is low

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