The prevention and control of Camellia Oleifera diseases can produce significantly
comprehensive economic benefits. And precisely identifying the types of diseases on oil tea …

Abstract Synthetic Aperture Radar (SAR) image target detection has widespread
applications in both military and civil domains. However, SAR images pose challenges due …

Synthetic Aperture Radar (SAR) finds widespread applications in environmental monitoring,
disaster management, ship surveillance, and military intelligence. However, existing target …

With the advancements in deep learning and synthetic aperture radar (SAR) technology, an
increasing number of individuals are utilizing deep-learning techniques to detect ships in …

Sorting out the requirements for intelligent functions is the prerequisite and foundation of the
top-level design for the development of intelligent ships. In light of the development of inland …

Synthetic Aperture Radar (SAR) ship target detection has been extensively researched.
However, most methods use the same dataset division for both training and validation. In …

Deep learning-based target detection methods have been widely used for Synthetic
aperture radar (SAR) ship detection in recent years. However, the large amount of clutter …

Synthetic Aperture Radar (SAR) imagery is widely utilized in military and civilian
applications. Recent deep learning advancements have led to improved ship detection …

With the widespread application of deep learning technology in the field of intelligent driving,
machine vision has become the preferred technology for vehicle detection tasks. However …