With the improvement of imaging equipment, hyperspectral underwater target detection (HUTD) has raised much interest in recent years. The existing HUTD methods do not fully use spectral characteristics and need prior information about targets. Besides, the detection performance lacks verification in natural scenarios. In this article, the authors propose a feature-band-based unsupervised underwater target detection method (FBUD), which aims at finding the optimal feature bands to identify the underwater target near the coastline. Specifically, the normalized difference water index (NDWI) and u...
