Remote sensing object detection (RSOD) encounters challenges in complex backgrounds
and small object detection, which are interconnected and unable to address separately. To …

The extraction of building footprints, as a highly challenging task in remote sensing (RS)
image-based geospatial object detection and recognition, holds significant importance. Due …

An improved real-time tunnel lining crack detection model based on YOLOv5 is proposed.
This model maintains high precision and accuracy crack detection in low-light, low-contrast …

Unmanned aerial vehicles (UAVs), renowned for their rapid deployment, extensive data
collection, and high spatial resolution, are crucial in locating distressed individuals during …

Synthetic Aperture Radar (SAR) has the advantage of continuous observation throughout
the day and in all weather conditions, and is used in a wide range of military and civil …

In this study, a novel detection network for steel surface defects is proposed by incorporating
three innovative components into “You Only Look Once" baseline model. Firstly, the cross …

Due to the diversity of aircraft target scale and interference of background strong scattering
in synthetic aperture radar (SAR) images, it is a challenge for target detection tasks. In …

Welding is a key technical means to ensure the safe and stable connection between
pipeline systems. The intelligent welding defect assessment based on X-ray inspection …

Tea cultivation holds significant economic value, yet the leaves of tea plants are frequently
susceptible to various pest and disease infestations. Consequently, there is a critical need …

Surface defect detection is a crucial inspection phase in ensuring industrial product quality
and reliability, particularly in the context of metallic manufacturing components. While …