The application discloses a kind of ocean
oil pollution detection methods based on
ultraviolet-visible light multimodal fusion, belong to marine environment monitoring field.The method is first to
ultraviolet and visible light image pre-
processing, constructs and trains by MobileNetV4 and ResNet18 The double-
branch feature extraction network is extracted;Double-mode deep feature is extracted, and the weight is dynamically calculated by
spectral sensitivity weighting module and adaptive weighted fusion is completed, and
modal fusion feature is obtained;Finally, the feature is input into improved BiFPN to complete multi-scale weighted fusion, introduce 4 cross-
modal multi-head attention mechanism to enhance features, output
oil spill segmentation and detection results.The application deeply fuses double-mode complementary information, realizes multi-scale feature adaptive fusion and enhancement, reduces the complexity of calculation while ensuring high precision and strong robustness of detection, and can realize high-precision real-time detection of ocean
oil pollution on resource-constrained edge platform, effectively solve the technical problems that single optical mode is easily disturbed by light, oil-water background is confused and
edge device power is limited in complex sea conditions.