RANet: A Reliability-Guided Aggregation Network for Hyperspectral and RGB Fusion Tracking

• Published in: Remote sensing (Basel, Switzerland) Vol. 14; no. 12; p. 2765
• Main Authors: Zhao, Chunhui, Liu, Hongjiao, Su, Nan, Wang, Lu, Yan, Yiming
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.06.2022
• Subjects: Agglomeration; Algorithms; Classification; color; Color imagery; data collection; Datasets; Deep learning; fusion tracking; head; hyperspectral image; Hyperspectral imaging; Modules; Network reliability; Semantics; Teaching methods; Tracking; transformer

Object tracking based on RGB images may fail when the color of the tracked object is similar to that of the background. Hyperspectral images with rich spectral features can provide more information for RGB-based trackers. However, there is no fusion tracking algorithm based on hyperspectral and RGB...