Constrained-Target Band Selection With Subspace Partition for Hyperspectral Target Detection

• Published in: IEEE journal of selected topics in applied earth observations and remote sensing Vol. 14; pp. 9147 - 9161
• Main Authors: Sun, Xudong, Zhang, Hongqi, Xu, Fengqiang, Zhu, Yuan, Fu, Xianping
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Band selection (BS); Benthos; constrained-target band prioritization (BP); Correlation; Detection; Feasibility studies; Feature extraction; Hyperspectral imaging; hyperspectral target detection; Marine aquaculture; Object detection; Redundancy; Statistical methods; subspace partition; Subspaces; Sun; Target detection; Task analysis; Variance

Hyperspectral target detection is widely used in both military and civilian fields. In practical applications, how to select a low-correlation and representative band subset to reduce redundancy is worth discussing. However, most of the existing band selection (BS) methods usually select bands accor...