Complex underlying surface water body identification method and black and odorous water body prediction method

Abstract

The embodiment of the invention provides a complex underlying surface water body identification method and a complex underlying surface black and odorous water body prediction method. Spectral difference and temperature difference of water and background information in the target area are fully considered; combining the road information map, the land utilization information map, the multispectralremote sensing image and the thermal infrared remote sensing image of the target area, the water body distribution information in the target area is identified, and information such as asphalt roads,black roofs and combustion traces is excluded from the obtained water body distribution information, so that the identification result is more accurate, and the black and odorous water body is accurately predicted on the basis.

Description

technical field [0001] The invention relates to the technical fields of ecohydrology and remote sensing, and more specifically, to a method for identifying complex underlying water bodies and a method for predicting black and odorous water bodies. Background technique [0002] Urbanization areas include bridges, residences, offices and other building areas, vegetation coverage areas such as grasslands and woodlands, wet areas such as rivers and lakes, and road areas such as cement roads, dirt roads, and asphalt roads. very complicated. For water and ecological environment management, it is very important to carry out accurate water body information extraction on complex underlying surfaces, and to predict black and odorous water bodies on this basis. [0003] Remote sensing technology is considered to be the most effective method for water body identification. At present, remote sensing models and methods for water body identification mainly include land use classification...

AI Technical Summary

Problems solved by technology

However, when these methods face the identification of complex underlying water bodies, it is easy to extract information such as spectrally similar and strip targets, such as asphalt roads, black roofs, and burning traces, as water bodies.

[0004] Therefore, in the current remote sensing methods for water body identification, when facing complex underlying surfaces, it is easy to cause great uncertainty in water body extraction

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