Abstract Segment Anything Model (SAM) is a new “foundation model” that can be used as a
zero-shot object segmentation method with the use of either guide prompts such as …

Segmentation of Agricultural Remote Sensing Images (ARSIs) stands as a pivotal
component within the intelligent development path of agricultural information technology …

When a strong earthquake occurs, roads are the lifelines of rescue. The rapid development
of high-resolution satellite imaging platforms has made the application of remote sensing …

Recently, vision foundation models have gathered wide attention. Among the many
endeavors, the segment anything model (SAM) makes remarkable progress toward a …

The digital representation of seafloor, a challenge in UNESCO's Ocean Decade initiative, is
essential for sustainable development support and marine environment protection, aligning …

Semantic segmentation of assembly images can effectively identify and prevent non-
standard behaviors such as wrong assembly and missing assembly in the assembly …

The applicability of the segment anything model (SAM) algorithm, a novel technique for
analyzing the characteristics of coarse aggregate from RGB images of concrete cross …

Abstract Chang'E-3, Chang'E-4 and Chang'E-5 were the first planetary missions with in-situ
ground-penetrating radar (GPR) in their scientific payloads. Apart from the Chang'E …

Image processing and analysis techniques are commonly utilized in various fields such as
geology, underwater engineering, environmental conservation, marine resource exploration …

This study applies a vision foundation model to optimize the Point Cloud Data (PCD)
reconstruction pipeline in digital photogrammetry, aiming to overcome the challenges of …