Under special conditions such as night, rain, and fog, visible light imaging technology often
performs poorly, while radar and other imaging technologies are limited due to their high …

RGB and Thermal (RGBT) Salient Object Detection (SOD) aims to achieve high-quality
saliency prediction by exploiting the complementary information of visible and thermal …

Due to the limitations and costs of thermal sensors, unmanned aerial vehicle (UAV)
platforms often equip with high-resolution (HR) visible imaging and low-resolution (LR) …

Guided image processing techniques are widely used to extract meaningful information from
a guiding image and facilitate the enhancement of the guided one. This paper specifically …

Remote sensing image super-resolution (RSISR) plays a vital role in enhancing spatial
details and improving the quality of satellite imagery. Recently, Transformer-based models …

An opportunistic task space-based model is proposed to enhance reliability in the execution
of unmanned aerial vehicle (UAV) tasks. The task information consists of predefined basic …

In modern urban planning and traffic management, accurately inferring fine-grained urban
flows is crucial. This reduces the need for extensive deployment of sensing devices and …

With the wide application of unmanned aerial vehicles (UAVs), UAV thermal imaging
technology has been brought to the attention of numerous experts and scholars. At present …

This work proposes a novel approach that integrates super-resolution techniques with off-
the-shelf object detection methods to tackle the problem of handling very low-resolution …

While thermal imaging technology on unmanned aerial vehicles (UAVs) has made
significant progress, the widespread issue of insufficient resolution poses a serious …