In this study, building extraction in aerial images was performed using csAG-HRNet by
applying HRNet-v2 in combination with channel and spatial attention gates. HRNet-v2 …

Automatic building segmentation from satellite images is an important task for various
applications such as urban mapping, disaster management and regional planning. With the …

As the basic feature of building, building edges play an important role in many fields such as
urbanization monitoring, city planning, surveying and mapping. Building edges detection …

In surveying, mapping and geographic information systems, building extraction from remote
sensing imagery is a common task. However, there are still some challenges in automatic …

Accurate building detection is a critical task in urban development and digital city mapping.
However, current building detection models for high-resolution remote sensing images are …

With the development of effective deep learning algorithms, it became possible to achieve
high accuracy when conducting remote sensing analyses on very high-resolution images …

Buildings are one of the most important habitats for humans, and therefore, accurate
identification and extraction of building information in remote sensing images are crucial …

With rapid urbanization, retrieving information about residential complexes in a timely
manner is essential for urban planning. To develop efficiency and accuracy of building …

Building detection in high-resolution satellite images has received great attention, as it is
important to increase the accuracy of urban planning. The building boundary detection in the …

The extraction of rural buildings from remote sensing images plays a critical role in the
development of rural areas. However, automatic building extraction has a challenge …