Remote sensing image building area land utilization attribute space migration method

Abstract

The invention discloses a remote sensing image land utilization attribute space migration method, which comprises the steps of obtaining POI data of a remote sensing image building area, carrying outbuilding attribute cleaning on the POI data, and further establishing a mapping relationship between obtained building attributes and land utilization attributes; performing drop point analysis on thebuilding pattern spots of the remote sensing image building area and the POI data after attribute cleaning, and obtaining building land utilization attributes and features of the building pattern spots with POI drop points; and inputting the building pattern spots with the building land utilization attributes and characteristics into a random forest classifier for training, and predicting the building pattern spots without the POI drop points through the random forest classifier, so that the building pattern spots without the POI drop points obtain the building land utilization attributes. According to the method, spatial migration of the land utilization attributes is realized, and the assignment efficiency of the remote sensing image land utilization attributes is improved.

Description

technical field [0001] The invention relates to the technical field of image processing of remote sensing images, in particular to a method for spatial migration of land use attributes of building areas of remote sensing images. Background technique [0002] With the rapid growth of population, the available land resources are getting less and less, and people have gradually paid attention to the issue of land use. In the field of remote sensing technology, land use has always been an important task in the interpretation of remote sensing images, and it is also an important reference for the rational allocation of resources and municipal planning. Compared with the traditional land survey once every ten years to detect the national land use situation, interpreting the land use situation through remote sensing images can provide a reliable and efficient solution for the national land survey work. [0003] However, in the prior art, when using remote sensing images to interpr...

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Problems solved by technology

[0003] However, in the prior art, when using remote sensing images to interpret land use, the land use attributes in the remote sensing images are manually interpreted, and the land use attributes are further assigned. However, the manual assignment of land use attributes has the following problems : (1) Manual assignment of land use attributes requires a lot of manpower and material resources, and the efficiency is low; (2) Manual assignment of land use attributes is prone to errors

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