Representation learning-based hyperspectral target detection (HTD) methods generally follow a learning paradigm of single-layer or one-step representation residual learning and the target detection on original full spectral bands. which. in some cases. cannot accurately distinguish the target pixels from variable background pixels via one-round of the detection process. https://foldlyers.shop/product-category/dc-ac-converters/