Convolutional neural network-based remote sensing image target detection method

Abstract

The invention discloses a convolutional neural network-based remote sensing image target detection method, and mainly solves the problems that a remote sensing target with an ambiguous appearance cannot be well identified and enough target semantic information cannot be obtained in the prior art. The method comprises the following implementation steps: 1, collecting remote sensing images to construct a data set, and dividing the data set into a training set and a test set; 2, constructing a network model, wherein the model comprises a feature extraction sub-network, an RPN candidate box generation network, a context information fusion sub-network and a multi-region feature fusion sub-network; 3, training the model by using the training set until the number of iterations of training is equal to a preset number of terminations; and 4, inputting the test image into the trained model to obtain a target detection result. The method can strengthen the expression capability of the characteristics, enriches the semantic information of the target, enables the target to have more identifiability, improves the detection precision, and can be used for resource exploration, disaster monitoringand remote sensing image target detection of urban planning.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an optical remote sensing image target detection method, which can be used for resource exploration, disaster monitoring, urban planning, military reconnaissance and precise strike. Background technique [0002] With the rapid development of remote sensing satellite technology, a large number of multi-resolution, multi-sensor remote sensing satellites have emerged, generating a large amount of satellite remote sensing image data, which has important research and application value. [0003] Remote sensing image object detection is the process of determining whether a given remote sensing image contains one or more objects of a class of interest, and locating each predicted object in the image. As a basic problem in the field of remote sensing image analysis, object detection in remote sensing systems plays an important role and has a wide range of applications...

AI Technical Summary

Problems solved by technology

However, this method does not solve the problem of misdetection between remote sensing targets that are similar in appearance but belong to different categories, and cannot identify remote sensing targets with ambiguous appearances well, and lacks in-depth mining of target spatial structure information, and cannot obtain enough targets semantic information

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