Automated Optimizing Method for Map Labeling of Buildings from Remote Sensing Images

Codes, data source, and the supplementary material for the article "Automated Optimizing Method for Map Labeling of Buildings from Remote Sensing Images".Label placement is a critical and challenging aspect of automated map cartography. Traditional methods of automated map label placement mainly focus on vector map or digital line graphics, and these methods often perform poorly when handling label placement on remote sensing images. This study proposes a method for building label placement that considers the visual characteristics of the image. During the label placement process, the proposed method comprehensively considers the texture complexity and morphological information of the label placement area, providing a more readable, natural, and aesthetically pleasing label placement solution.