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 …

Accurate extraction of landslide information is crucial for timely disaster emergency
response, yet this process faces significant challenges due to the interference of bare land …

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 …

Person searches aim to simultaneously locate and identify persons to be queried from
different scenes, which is crucial for disaster emergency management and public safety …

Extracting building heights from single-view remote sensing images greatly enhances the
application of remote sensing data. While methods for extracting building height from single …

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 …

Remote sensing (RS) instance segmentation is an important but challenging task due to
multi-oriented, densely arranged objects and lack of mask annotation. Compared with …

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

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

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 …