Change detection is an important step for the characterization of object dynamics at the
earth's surface. In multi-temporal point clouds, the main challenge is to detect true changes …

Detecting land cover change is an essential task in very-high-spatial-resolution (VHR)
remote sensing applications. However, because VHR images can capture the details of …

To address the challenges of change detection tasks, including the scarcity and dispersion
of labeled samples, the difficulty in efficiently extracting features from unstructured image …

Building extraction from very high-resolution remote sensing images is a fundamental task
and is widely used in applications, such as change detection, disaster assessment, and real …

Hypergraph neural networks have gained widespread attention due to their effectiveness in
handling graph-structured data with complex relationships and multi-dimensional …

For the FAST algorithm commonly used in corner detection of video stream, there are
problems of image edge missing and corner redundancy. This paper proposes a constant …