Existing infrared (IR) small target detection algorithms often lack adaptability in complex
scenes and heavily rely on parameter configurations. To address this limitation, we propose …

With the continuous advancement of remote sensing (RS) technology, RS ship detection
plays a crucial role in ensuring maritime safety and the oceanic economy, but it also faces …

Feature pyramid network transformer decoder (FPNFormer) module, which can effectively
deal with the strong rotation arbitrary of remote sensing images while improving the …

Arbitrary-oriented object detection (AOOD) is a crucial task in aerial image analysis but is
also faced with significant challenges. In current AOOD detectors, commonly used multi …

Cross-modal hashing plays a pivotal role in large-scale remote sensing (RS) ship image
retrieval. RS ship images often exhibit similar overall appearance with subtle differences …

A fundamental challenge in remote sensing-based forest fire detection lies in accurately
discerning fire characteristics on various scales against the backdrop of intricate and …

Current research in hyperspectral anomaly detection often incorporates low-rank (LR) or
total variation (TV) priors to encode the background matrix. However, applying such …

The effective detection of targets of interest in large-scale remote sensing imagery has
always been a crucial application task. Detecting tiny objects in these scenes poses …