Segmentation has been a rooted area of research having diverse dimensions. The roots of
image segmentation and its associated techniques have supported computer vision, pattern …

In Earth observation (EO), large-scale land-surface dynamics are traditionally analyzed by
investigating aggregated classes. The increase in data with a very high spatial resolution …

Leveraging the extensive training data from SA-1B, the segment anything model (SAM)
demonstrates remarkable generalization and zero-shot capabilities. However, as a category …

Segmentation is an essential step for remote sensing image processing. This study aims to
advance the application of the Segment Anything Model (SAM), an innovative image …

With the development of satellite technology, up to date imaging mode of synthetic aperture
radar (SAR) satellite can provide higher resolution SAR imageries, which benefits ship …

Accurate crop type map** provides numerous benefits for a deeper understanding of food
systems and yield prediction. Ever-increasing big data, easy access to high-resolution …

In recent years self-supervised learning has emerged as a promising candidate for
unsupervised representation learning. In the visual domain its applications are mostly …

The progress brought by the deep learning technology over the last decade has inspired
many research domains, such as radar signal processing, speech and audio recognition …

The development of object detection has led to huge improvements in human interaction
systems. Object detection is a challenging task because it involves many parameters …

It is significant for port ship scheduling and traffic management to be able to obtain more
precise location and shape information from ship instance segmentation in SAR pictures …