High spatial resolution remote sensing image building detection method based on shadow and segmentation

Abstract

The invention relates to a high spatial resolution remote sensing image building detection method based on a shadow and segmentation. The method comprises the steps that 1, shadow detection is performed on an input image; 2, the input image is segmented; 3, the adjacency relations between shadow areas and segmentation objects are calculated; 4, each shadow area is refined; 5, the adjacency relation between each refined shadow area and each segmentation object is calculated, and a building is further extracted. Shadow information of a remote sensing image is fully utilized, building targets in various shapes can be detected, the edges of the building targets can be accurately reserved, manual intervention is not needed, and the automation degree is high.

Description

technical field [0001] The invention relates to the field of remote sensing image processing, in particular to a high spatial resolution remote sensing image building detection method based on shadow and segmentation. Background technique [0002] In the aspect of building detection in high spatial resolution remote sensing images, due to the difference in building materials and ages, the spectrum of the buildings is very different, and the remote sensing image classification method based on spectrum is difficult to distinguish them; the complexity of building texture information leads to texture-based The accuracy of the image information extraction method is not high; due to mutual occlusion, shadows, time, location, and resolution differences, the characteristics of buildings on remote sensing images are very different, and any single method can be used for different images. There are certain applicability problems; in addition, the edge information of building images is ...

AI Technical Summary

Problems solved by technology

[0003] The invention provides a method for detecting buildings in high spatial resolution remote sensing images based on shadows and segmentation, which can overcome the difficulty in extracting buildings in current high spatial resolution remote sensing images, fully utilize the shadow information of remote sensing images, and can detect various Building objects of various shapes, and accurately retain their edges, without manual intervention, high degree of automation

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