Antennas receive and transmit electromagnetic waves, delivering information to our radios, televisions, cellphones and more.

The system enables detailed imaging in challenging environmental conditions and can detect objects obscured by foliage or ...

LiDAR, or Light Detection and Ranging, works by measuring the time it takes for a laser pulse to travel to an object and back. This time-of-flight measurement reveals the distance, and by scanning ...

Thus, this paper aims to advance the development of open-vocabulary object detection in remote sensing community. To achieve this, we first reformulate the task as Locate Anything on Earth (LAE) with ...

Advexure partners with MatrixSpace to enhance drone operations and security with AI-driven sensing tech for public safety, infrastructure.

Abstract: Faced with the wide-scale characteristics of objects in optical remote sensing images, the current object detection models are always unable to provide satisfactory detection capabilities ...

YOLO is a popular one-stage object detection model known for its speed and accuracy. It processes images in real-time, making it suitable for applications requiring quick detection. EfficientDet is ...

Abstract: Object detection is a fundamental task in computer vision that involves accurately locating and classifying objects within images or video frames. In remote sensing, this task is ...

Thus, this paper aims to advance the development of open-vocabulary object detection in remote sensing community. To achieve this, we first reformulate the task as Locate Anything on Earth (LAE) with ...

The objectives for ROCX 2025 include the following: Acquire remote sensing data for research purposes from a variety of sensor modalities and platforms coordinated over a defined area for a defined ...

Presently, semantic segmentation of unmanned aerial vehicle (UAV) remote-sensing images is a research hotspot. Compared with manual segmentation and object-based segmentation ... is especially obvious ...

Herein, hyperspectral remote sensing (HRS) is increasingly being considered as a ... yield prediction, and stress detection. Finally, we discuss the major challenges and future opportunities for ...