Object-based multiscale segmentation incorporating texture and edge features of high-resolution remote sensing images

ABSTRACT: Multiscale segmentation (MSS) is crucial in object-based image analysis methods (OBIA). How to describe the underlying features of remote sensing images and combine multiple features for object-based multiscale image segmentation is a hotspot in the field of OBIA. Traditional object-based segmentation methods mostly use spectral and shape features of remote sensing images and pay less attention to texture and edge features. We analyze traditional image segmentation methods and object-based MSS methods. Then, on the basis of comparing image texture feature description methods, a method for remote sensing image texture feature description based on time-frequency analysis is proposed. In addition, a method for measuring the texture heterogeneity of image objects is constructed on this basis.

SUBMITTER: Shen X 

PROVIDER: S-EPMC10280506 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature