City water extraction method based on panchromatic remote sensing image

Abstract

The invention discloses a city water extraction method based on a panchromatic remote sensing image. Water information of urban area needed to be extracted will be finally acquired through four procedures of remote sensing image preprocessing, the optimal scale selection, uniform texture generation, and the optical threshold segmentation. The city water extraction method based on a panchromatic remote sensing image is simple in calculating method, less in calculation, comparatively accurate in the final extracted results, and capable of being applied in several fields of urban planning, environmental sciences, geographic information mapping and the like.

Description

technical field [0001] The invention relates to an image information extraction method, in particular to an urban water body extraction method based on panchromatic remote sensing images. Background technique [0002] As an important spatial object and natural resource, urban water body plays an indispensable role in urban planning, environmental science and urban remote sensing mapping. In recent years, with the development of satellite remote sensing technology and the emergence of various space object extraction algorithms, water body extraction methods have been continuously improved and have been widely used in various researches. At present, commonly used water body extraction algorithms are based on multispectral remote sensing images such as SPOT and TM remote sensing images, using spectral transformation to generate various water body indices, and then extracting water bodies through supervised classification or threshold segmentation, but few are based on panchroma...

AI Technical Summary

Problems solved by technology

At present, commonly used water body extraction algorithms are based on multispectral remote sensing images such as SPOT and TM remote sensing images, using spectral transformation to generate various water body indices, and then extracting water bodies through supervised classification or threshold segmentation, but few are based on panchromatic remote sensing images and Algorithms for Water Body Extraction in Urban Areas

[0003] Aiming at the problem of water body extraction, currently there are few extraction algorithms for panchromatic remote sensing images and urban areas, and generally only use spectral information, without taking texture features into account, failing to make full use of the structural features of remote sensing images, and failing to maximize the use of Rich information in remote sensing

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