Water and soil conservation measure pattern spot automatic extraction method and system based on deep learning

Abstract

The invention discloses a water and soil conservation measure pattern spot automatic extraction method and system based on deep learning. The system comprises a remote sensing image data preprocessing module, a deep learning network model training module, a remote sensing image data pattern spot extraction module and a software module which can be independently executed and can automatically extract water and soil conservation measure pattern spots. The latest deep learning and related technologies are introduced, deep analysis and automatic learning are carried out on semantic information and spatial features of the remote sensing image, a complete processing flow is formed, and the model can achieve intellectualization, precision and automation from original input to extraction result output to the maximum extent. According to the method, the problems that an original method consumes time and labor, is subjectively influenced by people, is not high in automation and the like are solved, meanwhile, high-precision water and soil conservation measure pattern spots can be intelligently extracted, the water and soil conservation measure pattern spot extraction technology is promoted to be intelligently and accurately developed, and technical support is provided for water and soil conservation monitoring and evaluation work.

Description

technical field [0001] The invention relates to the technical field of water and soil conservation information, in particular to an automatic extraction system for water and soil conservation measures map spots based on deep learning. Background technique [0002] Soil and water conservation is the work of preventing and controlling soil erosion, protecting, improving and rationally utilizing water and soil resources, and establishing a good ecological environment. It is a basic national policy that we must adhere to for a long time. It is inevitable to carry out soil and water conservation measures, and accurate identification and extraction of water and soil conservation measures is an important technical means to evaluate the effectiveness of water and soil conservation projects. At present, the map extraction work of soil and water conservation measures is mainly carried out through three methods: visual interpretation technology, pixel-based extraction technology, and o...

AI Technical Summary

Problems solved by technology

Although the visual interpretation method is simple, easy to operate, and flexible, it requires the interpreters to have rich experience and professional knowledge, and it is time-consuming and laborious; and based on pixel extraction technology and object-oriented extraction technology, although relatively Good recognition and extraction effect, but it is greatly affected by human subjective factors and the degree of automation is not high

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