Abstract: High-precision and low-latency target detection and positioning are critical for autonomous Automated Guided Vehicle (AGV) operations in complex environments. This paper proposes a ...
Abstract: Hyperspectral anomaly detection (HAD) aims to distinguish anomalies from background in hyperspectral images (HSIs). Recently, low-rank representation (LRR)-based methods have attracted ...
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