Object detection is a crucial branch of computer vision that aims to locate and classify
objects in images. Using deep convolutional neural networks (CNNs) as the primary …

With the accelerated development of artificial intelligence, remote-sensing image
technologies have gained widespread attention in smart cities. In recent years, remote …

Remote sensing scene understanding is crucial for extracting valuable information from high-
resolution images, including object detection and classification. Traditional object detection …

Passive millimeter-wave (PMMW) imaging is an ideal technique for concealed object
detection in non-contact security inspection scenarios, and has been widely used in railway …

Remote sensing of rotated objects often encounters numerous small and dense objects. To
tackle small-object neglect and inaccurate angle predictions in elongated objects, we …

With the rapid advancement of technology, satellite and drone technologies have had
significant impacts on various fields, creating both opportunities and challenges. In areas …

Foundation models have reshaped the landscape of Remote Sensing (RS) by enhancing
various image interpretation tasks. Pretraining is an active research topic, encompassing …

Deep learning technology for real-time small object detection in aerial images can be used
in various industrial environments such as real-time traffic surveillance and military …

Detecting and recognizing objects are crucial steps in interpreting remote sensing images.
At present, deep learning methods are predominantly employed for detecting objects in …

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 …