High-resolution remote sensing image building height estimation method based on shadow

Abstract

The present invention provides a high-resolution remote sensing image building height estimation method based on a shadow. The method comprises the steps of: performing shadow detection of an originalimage to be detected, obtaining a shadow detection result map, and employing a morphological processing to obtain a more independent shadow and a shadow with more smooth edge; employing the area andthe length of the shadow and the imaging features of a satellite image to determine the direction of the shadow; determining the length of the shadow corresponding to a building through the shadow direction and the statisticals of the length of the shadow corresponding to the building; obtaining a solar azimuth through the shadow direction, and calculating a solar altitude through solar azimuth; and employing the solved shadow length and the solar altitude to estimate the height of the building. The high-resolution remote sensing image building height estimation method fully utilizes the features of the building shadow to achieve the building height estimation to effectively detect the remote sensing image building height with the shadow so as to provide effective information for remote sensing related application such as building three-dimensional reconstruction, city building historical information obtaining, city change detection.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a shadow-based method for estimating building heights of high-resolution remote sensing images. Background technique [0002] Buildings are one of the main features of a city and are closely related to human habitation and life. In the past ten years, the ability to obtain remote sensing data has been greatly improved in terms of spatial and temporal resolution. High-resolution imagery provides the basis for us to study the details of urban areas, especially buildings. The height of a building is one of the most distinctive features that distinguish a building from other urban features. Moreover, building height information is increasingly important in urban 3D modeling, urban monitoring, urban planning, map updating, and population estimation. Therefore, it is necessary to study a practical method for building height estimation. [0003] The existing ...

AI Technical Summary

Problems solved by technology

The existing high-resolution image 2D building height estimation mainly has the following problems: (1) Data acquisition is more troublesome, and historical data is insufficient

(2) The original parameters such as the imaging time of the image are required to calculate the sun elevation angle, but a considerable part of the imaging-related parameters of the orthophoto image is missing; (3) It is difficult to estimate the height of the building when there is a certain shadow in the shadow of a tall building shadow length

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