Abstract: Small object detection in remote sensing images faces challenges such as weak features, vulnerability to inter ference, and limited object visibility. These factors have made it a ...

Abstract: The objective of hyperspectral remote sensing image salient object detection (HRSI-SOD) is to identify objects or regions that exhibit distinct spectrum contrasts with the background. This ...

OpenCV offers a wide range of functions for image processing, such as image filtering, feature detection, object detection, and more. Scikit-image is another popular image processing library in ...

Temporary traffic lights due to emergency repairs and roadworks on the A356 Crewkerne Road both ways near Toller Lane. Other hazards have also been reported: An object has been reported to be in ...

arXiv Illustration of LEGNet architecture. Abstract Remote sensing object detection (RSOD) faces formidable challenges in complex visual environments. Aerial and satellite images inherently suffer ...

imgutils also includes many other features besides that. For detailed descriptions and examples, please refer to the official documentation. Here, we won't go into each of them individually. We can ...

Conclusion: This study demonstrated that multivariate cross-classification combined with ICA could improve, to some degree, the detection of invisible abnormal metabolism in the PET images of patients ...