Automatic identification method and system for water floating objects based on artificial intelligence

Abstract

The invention discloses an automatic identification method and system for water floating objects based on artificial intelligence. The method comprises steps of firstly constructing a feature number knowledge base of different ground objects represented by different kinds of floating objects in different bands; using the feature number knowledge base as a basis for classification, and using a classification method of the decision tree to classify floating object monitoring images; processing classification results after classification by a clustering process to obtain results of floating object recognition of the monitoring images; evaluating accuracy of recognition results of floating objects of the monitoring images; and finally, inputting the feature number knowledge base into a supportvector machine for training, and using a trained support vector machine model to automatically identify floating object information in the floating object monitoring images. The method and the systemare adapted to automatic identification of the floating object information in the images, thereby effectively and rationally organizing the floating object cleaning action, and being significant forensuring the navigation of the ship, the safety of the dam, the operation of the reservoir, and the like.

Description

technical field [0001] The invention belongs to the field of image recognition and machine intelligence learning, and relates to a method and system for automatic identification of floating objects in water bodies based on artificial intelligence, which is suitable for automatic identification of floating object information in images, so as to effectively and reasonably organize cleaning actions, and to ensure It is of great significance for ship navigation, dam safety, reservoir dispatching and operation, etc. Background technique [0002] Floating matter is solid waste that floats on the surface of water bodies depending on buoyancy, including logs, branches, straw, straw, plastic products, and human and animal carcasses. The existence of floating objects has adverse effects on water quality, water surface landscape, water supply, aquatic products, shipping, etc., not only destroying the ecological environment, but also threatening drinking water safety. Especially in the...

AI Technical Summary

Problems solved by technology

There are few studies on the automatic identification of floating objects. Remote sensing images can only identify large-scale floating objects. When applied to rivers and reservoirs, it is often impossible to accurately identify the specific conditions of floating objects in a small area due to insufficient image resolution; Sampling to identify floating objects consumes manpower and material resources, and due to factors such as actual water flow and terrain, field sampling in some areas is often very difficult

The existing research has provided technical reference for the further development of the rapid identification of floating objects to a certain extent, but the existing methods are still unable to quickly and accurately automatically identify floating objects

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