Coastal wetland vegetation remote sensing identification method combining multiple transfer learning strategies

Abstract

The invention discloses a coastal wetland vegetation remote sensing identification method combined with multiple transfer learning strategies. According to the method, dimension reduction is carried out on unmanned aerial vehicle data by integrating recursive feature elimination and principal component analysis, so that the time cost of model training is reduced, and the identification capability of the model on a mangrove forest community is improved; by improving the structure of the convolutional neural network, the segmentation performance of the convolutional neural network is improved, and then the discrimination ability of the deep learning model for the boundary of the mangrove forest community is improved; by applying different transfer learning strategies, the deep learning model can be applied to different mangrove forest wetlands at low cost, and the mangrove forest community classification precision and efficiency of the model are improved.

Description

technical field [0001] The invention belongs to the technical field of land monitoring, in particular to a classification algorithm of coastal wetlands, and realizes high-precision classification and efficient monitoring of coastal wetlands based on an improved deep learning model and a migration learning method. Background technique [0002] As one of the most productive and biologically significant ecosystems, mangrove wetlands have experienced a sharp decline in mangrove areas in recent decades due to human factors (agricultural activities, urbanization, poor management, etc.) and natural disasters. Faced with threats such as pollution, over-collection, and alien species invasion, high-precision classification and rapid monitoring of mangrove communities are crucial to their conservation and rational use. [0003] Due to the complexity of the mangrove ecosystem, it is expensive and time-consuming to enter the mangrove ecosystem for field investigation. UAV remote sensing ...

AI Technical Summary

Problems solved by technology

However, there are few existing studies on the transfer learning ability of coastal wetlands, and the applicability and classification performance of different transfer learning methods are not considered.

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