BMS-MFZS: A Background Modeling and Suppression Method Based on Multifeature Generalized Zero-Shot in Remote Sensing (opens in new tab)

Reliable background suppression remains a key challenge in infrared imaging for space and aerial scientific visual learning, as image data are often affected by multiple complex and intertwined factors, such as environmental variability, radiometric inconsistencies, and sensor noise, which make it difficult for models to effectively learn background characteristics for robust suppression. To address this, we propose a background modeling and suppression method based on multifeature generalize...