Method for detecting oil spill at sea based on full-polarized synthetic aperture radar image

Abstract

The invention discloses a method for detecting oil spill at sea based on a full-polarized synthetic aperture radar (SAR) image. The method includes the following steps: pre-treating polarized SAR data which require analyzing to obtain a full-polarized SAR covariance matrix; conducting refining polarized Lee filtering on the covariance matrix; based on the filtered covariance matrix or through a Stokes vector calculated by the covariance matrix, extracting 6 polarized features to constitute a feature combination; inputting training sample features with ground verification label information to a maximum likelihood (ML) classifier, training the classifier and optimizing parameters of the classifier; taking polarized features as input, utilizing the ML classifier to conduct detection and classification on an oil membrane; processing a classification result based on morphology, utilizing verification information of actual measurement to evaluate classification precision. According to the invention, the method can increase performances of oil spill at sea detection and classification methods and promote the application of the full-polarized SAR in actual engineering problems such as monitoring of oil spill at sea.

Description

technical field [0001] The invention belongs to the technical field of marine remote sensing, in particular to a radar satellite remote sensing method for monitoring sea surface oil spills. Background technique [0002] Marine oil spill is one of the most common marine pollutions, which damages the marine environment and ecosystem and threatens the growth of marine life. Oil spill accidents will cause huge economic losses to the fishery and mariculture industry, and even endanger human health through the transmission of the food chain. Timely and accurate sea oil spill monitoring and early warning can enable the accident to be dealt with early before the impact expands, effectively reducing the negative impact of the accident. Effective oil spill monitoring methods can provide a basis for investigating the responsibilities of ships and enterprises involved in accidents, thereby providing support for maintaining the healthy and sustainable development of coastal zones and ma...

AI Technical Summary

Problems solved by technology

[0007] At present, it is difficult to distinguish the likelihood of the presence of sea surface oil spills by using synthetic aperture radar (SAR) satellite images, and the technical problems such as complex algorithms require long processing time, etc. Oil detection method to improve the performance of sea oil spill detection and classification methods, and facilitate the application of full polarization SAR in practical engineering problems such as sea oil spill monitoring

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