Object detection is essential to the interpretation of optical remote sensing images and can
serve as a foundation for research into additional visual tasks that utilize remote sensing …

Attention mechanism, one of the most extensively utilized components in computer vision,
can assist neural networks in emphasizing significant elements and suppressing irrelevant …

Introduction: Object detection in remotely sensed satellite images is critical to socio-
economic, bio-physical, and environmental monitoring, necessary for the prevention of …

This study investigated the accuracy of animal identification based on herd behaviour from
drone camera footage. We evaluated object detection algorithms and point pattern analysis …

Wireless multimedia sensor networks (WMSNs) have gained considerable attention across
various applications due to their capabilities for real-time multimedia data collection, efficient …

Object detection is used widely in remote sensing image interpretation. Although most
models used for object detection have achieved high detection accuracy, computational …

High-definition remote sensing image recognition is of great significance and can be widely
used in urban planning, land use, and other fields. Existing models focus excessively on …

Many deep learning (DL)-based detectors have been developed for optical remote sensing
object detection in recent years. However, most of the recent detectors are developed …

Wireless camera networks (WCNs) have seen widespread deployment in recent years,
leading to an upsurge in monitoring and surveillance systems aimed at detecting foreign …

Object detection in aerial images is a challenging task mainly because of two factors, the
objects of interest being really small, eg people or vehicles, making them indistinguishable …