Change detection method based on image texture features and DSM

Abstract

The invention provides a change detection method based on image texture features and DSM. The method comprises the steps that surface features are divided into a plurality of types of surface features; according to the characteristics of each surface feature type, the elevation change threshold range corresponding to each type of surface feature is set; statistical analysis is carried out on texture features corresponding to each type of surface feature; for each sub-region, the corresponding texture features set in the first step and the corresponding elevation change threshold range are retrieved according to the surface feature type corresponding to the sub-region; the texture features and the elevation change threshold range corresponding to the surface feature type are used to further determine a preliminary change detection result; and whether the preliminary change detection result is correct is determined. The change detection method provided by the invention has the advantages that the texture features and the DSM information are integrated into a change detection process with different surface feature thresholds, and the change detection precision is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of change detection, in particular to a change detection method based on image texture features and DSM. Background technique [0002] Remote sensing image change detection technology refers to: by analyzing two or more images from the same area at different times, it detects the change information of the ground features in the area over time. At present, change detection technology has developed rapidly and is widely used in environmental monitoring, land use, crop growth monitoring, disaster estimation and other fields. [0003] According to the level of processing information, change detection technology is divided into three levels: pixel level, feature level and decision level. With the complexity of land cover changes and the increase in the diversity of remote sensing data, new change detection methods and new image processing algorithms Constructing a stable and reliable change detection algorithm h...

AI Technical Summary

Problems solved by technology

However, the quality of images of different imaging conditions and different time phases is uneven. Therefore, the traditional change detection method has the problem of limited change detection accuracy, and it is difficult to meet the needs of high detection accuracy in specific fields.

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