Deep learning techniques have recently shown remarkable efficacy in the semantic
segmentation of natural and remote sensing (RS) images. However, these techniques …

Abstract Unmanned Aerial Vehicle (UAV) has seen a dramatic rise in popularity for remote-
sensing image acquisition and analysis in recent years. It has brought promising results in …

Semantic segmentation of unmanned aerial vehicle (UAV) remote sensing images is a
recent research hotspot, offering technical support for diverse types of UAV remote sensing …

Semantic segmentation for unmanned aerial vehicle (UAV) remote sensing images has
become one of the research focuses in the field of remote sensing at present, which could …

Unmanned aerial vehicle (UAV) remote sensing images used for semantic segmentation
possess distinct features compared to urban street scene images, including high resolution …

The availability of high-resolution imagery resources for semantic segmentation research
has expanded significantly due to the rapid development of remote-sensing technology …

Semantic segmentation of aerial data has been one of the leading researches in the field of
photogrammetry, remote sensing, and computer vision in recent years. Many applications …

Although deep learning-based methods for semantic segmentation have achieved
prominent performance in the general image domain, semantic segmentation for high …

Drone semantic segmentation is a challenging task in computer vision, mainly due to
inherent complexities associated with aerial imagery. This paper presents a comprehensive …

Unmanned aerial vehicles (UAV) have had significant progress in the last decade, applying
to many fields for its convenience to explore areas that men cannot reach and the progress …