期刊名称：International Journal of Early Childhood Special Education
电子版ISSN：1308-5581
出版年度：2022
卷号：14
期号：2
页码：3096-3101
DOI：10.9756/INT-JECSE/V14I2.308
语种：English
出版社：International Journal of Early Childhood Special Education
摘要：Scene classification of remote sensing images is a hot research field because of its wide range of applications. It aims to quickly and accurately identify and locate many objects of predefined categories in a given image scene. Here we use predefined and custom models to recognize an image scene from a given video stream and image. This article details representative algorithms for each step. It then introduces public and specific data sets commonly used for target detection, and analyzes and compares various representative algorithms in this area. Finally, potential target acquisition issues are considered.
关键词：object detection and recognition;deep learning;classification performance
