Abstract: The recent advancement and popularities of remote sensing technology is increasing day by day. Due to this the uses of hyperspectral imaging is also gaining popularity. Feature ...

Model Highlights: • Implemented KNN for classification tasks • Worked with feature scaling and distance metrics • Built a simple yet effective non-parametric model • Performed training, prediction, ...

The core innovations and contributions of this paper are summarized as follows: A novel 3D convolution attention multi-scale fusion architecture is proposed, which for the first time combines 3D ...

Abstract: We propose a classification method suitable for high-resolution synthetic aperture radar (SAR) images over urban areas. When processing SAR images, there is a strong need for statistical ...