Small object detection has been a research hotspot in the field of computer vision.
Especially in complex backgrounds (CBs), SOD faces various challenges, including …

A small and weak target detection method is proposed in this work that outperforms all other
methods in terms of real-time capability. It is the first time that two-dimensional (2D) images …

Estimating animal populations by direct counting is an essential component of wildlife
conservation and management. However, conventional approaches (ie, ground survey and …

Infrared (IR) moving point target detection is an important technique in many onboard
applications such as remote sensing, IR searching and tracking (IRST) and early warning …

The drone has been applied in various areas due to its small size, high mobility and low
price. However, illegal uses of drones have posed huge threats to both public safety and …

摘要为提高红外图像弱小目标检测的准确率和实时性, 在分析用于红外图像增强的分形参数K
相关的多尺度分形特征(MFFK) 基础上, 提出了一种基于改进多尺度分形特征(IMFFK) …

Wide field and a long exposure time can effectively improve the ability of a space
surveillance telescope to detect faint space targets. However, such systems are very …

Real-time detecting moving objects in infrared video sequences may be particularly
challenging because of the characteristics of the objects, such as their size, contrast, velocity …

Polarimetric imaging detection is a relatively new and largely undeveloped field. Although
convolutional neural networks (CNNs) have achieved great success in two-dimensional …

The wide-field surveillance camera plays a critical role in space debris detection and the
visible light situational awareness required for early warning. However, stray light in such a …