Convolutional Neural Network for Classification of Aerial Survey Images in the Recognition System

被引：0
|
作者：
Nguyen Van Trong [1 ]
Fedorovich, Pashchenko Fedor [1 ,2 ]
机构：
[1] Moscow Inst Phys & Technol, Moscow, Russia
[2] VA Trapeznikov Inst Control Sci, Moscow, Russia
来源：
MACHINE LEARNING, OPTIMIZATION, AND DATA SCIENCE (LOD 2021), PT I | 2022年 / 13163卷
关键词：
Aerial survey objects recognition system; Convolutional neural network; Aerial survey images; Search and localization of objects;
D O I：
10.1007/978-3-030-95467-3_26
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a system for recognizing aerial survey images for finding and locating objects is proposed and constructed. This system includes the following blocks: input of area information, processing of aerial survey images, installation of topography diagnostics, classification of detected objects, database, preparation of a report. The article focuses on the features of developing a convolutional neural network for classifying aerial survey images in a recognition system designed to search for and localize objects.
引用
收藏
页码：349 / 356
页数：8
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