Noise-Adjusted Feature Extraction for Deep Learning-Based Classification of Hyperspectral Imagery
Hyperspectral image (HSI) classification benefits from rich spectral information; however, high dimensionality of HSI data increases computational cost, noise sensitivity, and the risk of overfitting when labeled samples are limited. Most pretrained computer vision networks are designed for three-channel inputs, making...