Research on land cover type classification method based on improved MaskFormer for remote sensing images.

ABSTRACT: High-resolution remote sensing images have the characteristics of wide imaging coverage, rich spectral information and unobstructed by terrain and features. All of them provide convenient conditions for people to study land cover types. However, most existing remote sensing image land cover datasets are only labeled with some remote sensing images of low elevation plain areas, which is highly different from the topography and landscape of highland mountainous areas. In this study, we construct a Qilian County grassland ecological element dataset to provide data support for highland ecological protection. To highlight the characteristics of vegetation, our dataset only includes the RGB spectrum fused with the near-infrared spectrum. We then propose a segmentation network, namely, the Shunte

SUBMITTER: Chen H 

PROVIDER: S-EPMC10280575 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature