WebAbstract: Accurate building rooftop extraction from high-resolution aerial images is of crucial importance in a wide range of applications. Owing to the varying appearance and … WebThis study proposes an automatic building footprint extraction framework that consists of a convolutional neural network (CNN)-based segmentation and an empirical polygon …
A coarse-to-fine boundary refinement network for building …
WebAug 22, 2024 · The application of the convolutional neural network has shown to greatly improve the accuracy of building extraction from remote sensing imagery. In this paper, we created and made open a high-quality multisource data set for building detection, evaluated the accuracy obtained in most recent studies on the data set, demonstrated … WebJan 6, 2024 · Extracting buildings automatically from high-resolution aerial images is a significant and fundamental task for various practical applications, such as land-use … taxi series characters
Automatic Building Extraction From High-Resolution Aerial …
WebJan 6, 2024 · Extracting buildings automatically from high-resolution aerial images is a significant and fundamental task for various practical applications, such as land-use statistics and urban planning. Recently, various methods based on deep learning, especially the fully convolution networks, achieve impressive scores in this challenging semantic … WebThis work combines the individuaL buIlding extraction and heiGHt estimation through a unified multiTask learning network (LIGHT) for the first time, which simultaneously outputs a height map, bounding boxes, and a segmentation mask map of buildings. Building extraction and height estimation are two important basic tasks in remote sensing image … WebExperimental results on three public building datasets, including the WHU building dataset, the Massachusetts building dataset, and the Inria aerial image dataset, demonstrate … the circulatory system includes the heart