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.
· GIScience & Remote Sensi... · 0 citations