As the world's population rises, there will be a greater need for food, which will have
repercussions on the environment and on crop yields. Increased production, efficient …

After a disaster, ascertaining the operational state of extensive infrastructures and building
clusters on a regional scale is critical for rapid decision-making and initial response. In this …

Low-light remote sensing image enhancement for unmanned aerial vehicles (UAVs) has
significant scientific and practical value because unfavorable lighting conditions make …

When natural disasters occur, timely and accurate building damage assessment maps are
vital for disaster management responders to organize their resources efficiently. Pairs of pre …

Buildings bear much of the damage from natural disasters, and determining the extent of this
damage is of great importance to post-disaster emergency relief. The application of deep …

Despite significant advancements in salient object detection (SOD) in optical remote sensing
images (ORSI), challenges persist due to the intricate edge structures of ORSIs and the …

Vehicle tracking in the unmanned aerial vehicle (UAV) videos is a fundamental but vital
computer vision task. It mainly consists of two key components, that is, detection and …

Building extraction is a significant topic in high-resolution remote sensing. Insufficient
integrity, irregular boundaries, and inaccurate corners remain a problem for existing …

With the increasing application of deep learning (DL) in various domains, salient object
detection in optical remote sensing images (ORSIs-SOD) has attracted significant attention …

Extraction road from remote sensing (RS) images is a challenging topic because of the
inhomogeneous intensity, nonconsistent contrast, and very cluttered background of satellite …