Ship detection aims to automatically identify whether there are ships in the images, precisely
classifies and localizes them. Regardless of whether utilizing early manually designed …

Object detection is of great importance for remote sensing image interpretation work and has
received significant attention. However, small weak object detection has always been a …

Deep learning object detection algorithms, due to their powerful feature learning
capabilities, can effectively improve the accuracy of target detection in remote sensing …

Accurate object detection in remote sensing images (RSIs) is of great significance for
various applications such as environmental monitoring and agricultural production …

Limited resources for edge computing platforms in airborne and spaceborne imaging
payloads prevent using complex image processing models. Model pruning can eliminate …

Object detection plays a crucial role in remote sensing due to the urgent demands of various
applications, such as urban planning and environmental monitoring. Despite notable …

Change detection (CD) from remote sensing images has been widely used in land
management and urban planning. Benefiting from deep learning, numerous methods have …

Objectives: The rapid development of UAV remote sensing technology is leading to an
increased role for these devices in emergency search and rescue operations and law …

Abnormal large fittings in transmission lines are a common fault in the safe operation of
power systems. In this paper, a detection model named EGFPN-YOLO is proposed. The …

利用无人机影像进行人员检测在应急救援与社会安全中具有重要意义, 然而,
无人机影像中的人员目标较小且背景复杂导致人员检测精度较低. 为解决这一问题 …