Sea fog detecting method based on deep learning and satellite remote sensing technology

Abstract

The invention provides a sea fog detecting method based on deep learning and satellite remote sensing technology. The sea fog detecting method based on the deep learning and satellite remote sensing technology comprises the following steps: obtaining a satellite remote sensing image, marking the sea fog in the image, and using the image marked with the sea fog as a label of a deep learning segmentation network model; pre-processing a training set image to obtain an input image that meets a preset criteria, wherein the input image is used for augmenting the data set and enhancing the model robustness; and using a back propagation algorithm to the deep learning segmentation network model on a GPU based on the augmented data set, so that a model of the image characteristics of the sea fog isobtained after the training is completed. The invention combines the deep learning with the satellite remote sensing to solve the problem that the sea fog detection is difficult. By learning the characteristics of the sea fog generated in coastal areas and oceans in a large number of past satellite images, the sea fog can be quickly and accurately monitored and segmented based on the satellite images.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a sea fog detection method based on deep learning and satellite remote sensing technology. Background technique [0002] Fog is a common weather phenomenon, and it is also a kind of disaster weather. Along with social progress and rapid economic development, fog damage has attracted widespread attention. Compared with the fog generated on land, sea fog has its own characteristics. Sea fog (seafog) is a phenomenon that often occurs in sea or coastal areas. When water droplets or ice crystals condense in the lower atmosphere over the ocean, the horizontal visibility of the atmosphere is less than At 1km, it is the phenomenon of sea fog. When sea fog occurs, the visibility at sea level is relatively low, which will have a great impact on offshore fisheries, shipping, platform operations, and coastal aviation and road traffic. It is one of the catastrophic weather that need...

AI Technical Summary

Problems solved by technology

[0018] The purpose of the present invention is to overcome the deficiencies of the above-mentioned prior art, and propose a sea fog detection method based on deep learning and satellite remote sensing technology, which combines deep learning and satellite remote sensing to solve the difficult problem of sea fog detection

Images