Multi-type urban green land classification method

A classification method and multi-type technology, applied in the directions of instrument, calculation, character and pattern recognition, etc., can solve the problems of low efficiency and accuracy of urban green space information, and achieve the effect of improving efficiency and accuracy

Active Publication Date: 2020-09-22
NORTHEAST INST OF GEOGRAPHY & AGRIECOLOGY C A S
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the existing problem of low efficiency and accuracy in obtaining spatial information of urban green spaces, the present invention provides an accurate classification method for multi-type urban green spaces

Method used

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  • Multi-type urban green land classification method

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Embodiment Construction

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0041] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0042] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but not as a limitation of the present invention.

[0043] Such as figure 1 As shown, the multi-type urban green space classification method of the present embodim...

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Abstract

The invention discloses a multi-type urban green land classification method, solves the problems of low efficiency and low accuracy of obtaining urban green land space information in the prior art, and belongs to the technical field of urban green land change monitoring. The method comprises the following steps: acquiring vegetation phenology of a research area; acquiring remote sensing images ofa pre-growing season, a growing season and a non-growing season of the research area; calculating vegetation coverage by utilizing the growth season image, and performing segmenting to obtain a vegetation range; calculating the vegetation coverage by using the non-growing season image, and performing segmenting to obtain an evergreen forest range; calculating and obtaining a grayscale image by using the pre-growing season image, and performing segmenting to obtain a grassland range; performing spatial masking on the vegetation range by utilizing the evergreen forest range and the grassland range to obtain a deciduous forest range; acquiring a night light image, and performing segmenting to obtain a city range; and masking the evergreen forest range, the grassland range and the deciduous forest range by using the urban range to obtain various types of urban greenbelts including evergreen forests, deciduous forests and grassland. According to the invention, the efficiency and accuracy ofobtaining the urban green space information can be improved.

Description

technical field [0001] The invention relates to a multi-type urban green space precise classification method integrating phenology and grayscale cutting, and belongs to the technical field of urban green space change monitoring. Background technique [0002] Urban green space is an urban space covered by vegetation, such as street trees, parks, and green spaces attached to residential quarters. Urban green space provides ecological, social and cultural entertainment services for urban residents, and is indispensable in alleviating urban heat waves, improving air quality, enhancing urban landscape, and improving residents' health. Accurate monitoring of changes in urban green space is the main task of urban management, and it is of great significance to the maintenance of green space and the improvement of people's lives. [0003] Due to the wide distribution area, fragmentation and small area of ​​urban green space, it is time-consuming and labor-intensive to investigate th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/34G06K9/00
CPCG06V20/188G06V10/267G06F18/24
Inventor 任志彬董禹麟何兴元王国栋付尧
Owner NORTHEAST INST OF GEOGRAPHY & AGRIECOLOGY C A S
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