City impermeable layer extraction method based on Landsat remote sensing image

Abstract

The invention provides a city impermeable layer extraction method based on a Landsat remote sensing image. The invention discloses an automatic threshold impervious index model (PSO-UISAT) based on an improved particle swarm algorithm. Influences of season changes and geographic space changes on UIS extraction are fully considered, impervious layer indexes, global optimal automatic threshold selection and algorithm comprehensive verification and evaluation are organically combined, a complete impervious layer extraction system is formed, and applicability and reliability are high; this model translates city indices into city indices, automatic threshold selection and performance evaluation are integrated; the method is advantaged in that a system is formed, city impermeable layer extraction requirements of Landsat remote sensing images of different seasons and different geographic positions can be satisfied, manual fine adjustment and reselection work of the threshold caused by the space-time difference of the images is avoided, and impermeable layer extraction efficiency and accuracy are improved.

Description

technical field [0001] The invention relates to a method for extracting urban impermeable layers based on Landsat remote sensing images, and belongs to the technical field of remote sensing mapping. Background technique [0002] Urban impermeable layer (UIS) is the product of human activities and urbanization. It refers to the area covered by structures such as concrete floors, asphalt roads, airports, and urban buildings within the city to prevent water from directly infiltrating the surface. Urban impermeable layer is an important factor in urban development and management, and its detection, planning and management indicate the level of urban ecological civilization construction. Since UIS brings a series of urban environmental problems, such as urban heat island, urban carbon island, urban rain and flood, and urban water pollution, it is important to accurately grasp the geographical distribution, regional area and development changes of UIS for the overall management pl...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to solve the above-mentioned problems in the existing urban impermeable layer extraction methods and methods, and propose a method for extracting urban impermeable layers based on Landsat remote sensing images, based on the automatic threshold impermeable index model of the improved particle swarm algorithm (PSO-UISAT), fully considering the impact of seasonal changes and geographical space changes on UIS extraction, organically combining the impermeable layer index, global optimal automatic threshold selection and algorithm comprehensive evaluation to form a complete impermeable layer extraction system, High applicability and reliability

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