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首页> 外国专利> HARDWARE-SOFTWARE COMPLEX DESIGNED FOR TRAINING AND (OR) RE-TRAINING OF PROCESSING ALGORITHMS FOR AERIAL PHOTOGRAPHS OF THE TERRITORY FOR DETECTION, LOCALIZATION AND CLASSIFICATION UP TO TYPE OF AVIATION AND GROUND EQUIPMENT

HARDWARE-SOFTWARE COMPLEX DESIGNED FOR TRAINING AND (OR) RE-TRAINING OF PROCESSING ALGORITHMS FOR AERIAL PHOTOGRAPHS OF THE TERRITORY FOR DETECTION, LOCALIZATION AND CLASSIFICATION UP TO TYPE OF AVIATION AND GROUND EQUIPMENT

机译：硬件 - 软件复杂旨在培训和（或）重新培训用于境内航空照片的加工算法，用于检测，定位和分类，达到航空和地面设备的类型

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FIELD: image data processing.;SUBSTANCE: invention relates to a complex and a method of forming a training sample intended for training and/or re-training of processing algorithms for aerial photographs of the terrain for detection, localization and classification up to type of aviation and ground equipment. According to the method, large-format aerial photographs presented as color or grayscale digital images are imported by means of an import unit; the imported data from the data import unit is received by means of a neural network core, and neural network models are selected from the catalog of neural network models; the original large-format aerial photographs are marked by means of a neural network marking unit using the selected neural network model; the obtained neural network marking is corrected by means of a neural network marking correction unit; the volume of images for training samples is automatically expanded by means of an automatic augmentation module; the corrected marked images are transferred to the training and test sample database with expert marking, providing continuous updates of the database, wherein the training samples are balanced by the number of objects of interest and the number of background elements by means of the training and test sample database with expert marking; the neural network models from the catalog of neural network models are re-trained by means of a re-training module based on the obtained training samples formed in the training sample database with expert marking; reports are generated by means of an analytics and report-generating module based on the data obtained at the previous stages of the method, wherein said reports allow controlling the training and/or re-training process.;EFFECT: improved quality of training processing algorithms for aerial terrain photographs.;3 cl, 2 dwg
机译：字段：图像数据处理。物质：发明涉及一种复杂的复杂和方法，其形成用于训练和/或重新培训的训练和/或重新培训用于检测，本地化和分类的地形的空中照片的加工算法航空和地面设备。根据该方法，呈现为颜色或灰度数字图像的大型空中照片通过进口单元导入;来自数据导入单元的导入数据通过神经网络核心接收，并且从神经网络模型的目录中选择神经网络模型;原始的大型空中照片通过使用所选择的神经网络模型的神经网络标记单元标记;通过神经网络标记校正单元校正所获得的神经网络标记;用于训练样本的图像量通过自动增强模块自动扩展;校正的标记图像与专家标记传送到训练和测试示例数据库，提供数据库的连续更新，其中培训样本通过训练和测试通过感兴趣的对象和背景元素数量平衡具有专家标记的示例数据库;来自神经网络模型目录的神经网络模型通过基于具有专家标记的训练样本数据库中形成的训练样本来重新训练重新训练模块;通过基于在方法的先前阶段获得的数据的分析和报告生成模块来生成报告，其中所述报告允许控制培训和/或重新培训过程。;效果：提高训练处理算法的质量用于空中地形照片。3 Cl，2 DWG

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