The multisource remote sensing classification task has two main challenges. 1) How to capture hyperspectral image (HSI) and light detection ranging (LiDAR) features cooperatively fully mine the complementary information between data. 2) adaptively fuse features, which should not only overcome imbalance HSI LiDAR data but also avoid generation of redundant information. local interaction transfor...

Direct examinations of gender differences in global-local processing are sparse, and the results are inconsistent. We examined this issue with a visuospatial judgment task and with a shape judgment task. Women and men were presented with hierarchical stimuli that varied in closure (open or closed shape) or in line orientation (oblique or horizontal/vertical) at the global or local level. The ta...

In order to improve the classification accuracy of Chinese Salvia miltiorrhiza using near-infrared spectroscopy, a novel local variable selection strategy is thus proposed. Combining the strengths of the local algorithm and interval partial least squares, the spectra data have firstly been divided into several pairs of classes in sample direction and equidistant subintervals in variable directi...