The present application relates to the field of offshore
oil spill detection, especially to an adaptive offshore
oil spill detection method, the present application extracts the marine environment features in the inspection image, and then analyzes the
time domain changes of the marine environment features, constructs the
time domain change curve of marine texture distribution features and the
time domain change curve of image attribute features, and then verifies the index dispersion constraint and index
mutation constraint of each curve segment, sets a
label for the inspection image, determines the optimal
verification perspective for the inspection image with the set
label, and captures the drift feature to set a potential
oil spill label under the optimal
verification perspective, the present application saves the computing power for
image analysis by using the change of marine environment features when large-area sea area is inspected at night, finds the optimal
verification perspective of the highlighted features in the verification image under the environmental light interference by shifting the background through the optimal verification perspective, and improves the reliability of oil spill detection in large-area sea area at night through dynamic perspective selection and drift verification.