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Open access Sep 2026

MambaMPD: a mamba-driven segmentation framework for marine pollution detection from remote sensing imagery

FAA integrates wavelet transforms into the encoder to decompose features into multi-scale frequency subbands, enabling the model to capture low-frequency contextual semantics and high-frequency structural details needed to identify small, low-contrast, and irregular pollution patterns.

Shuai-Yu Chen, Wei Han, Peng Ren et al. · 0 citations

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