应用混合人工智能方法,通过物体的摄影来确定物体的位置

D. Berezkin, A. V. Proletarsky, V. Sidorov, I. E. Sergeev
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引用次数: 1

摘要

成功地评估摄影的地理位置可以用于许多有趣的项目,尽管这是一项极其困难的任务。本文致力于开发一种方法来创建一个混合智能系统,用于从照片中确定物体的位置。对现有的照片地理定位评估方法进行了分析;提出了一种从物体照片中确定物体位置的混合智能系统的广义结构。为了评估位置,提出了对原始照片的GPS坐标和与之相似的数据进行分析,并对照片中的对象进行分类:城市、自然。地理定位被认为是一个分类问题,当地球表面被划分成不相交的相邻单元时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
APPLICATION OF THE METHODS OF HYBRID ARTIFICIAL INTELLIGENCE TO DETERMINE THE LOCATION OF OBJECTS BY THEIR PHOTOGRAPHY
Successful assessment of the geolocation of photography can be used in many interesting projects, although this is an extremely difficult task. The article is devoted to the development of an approach to the creation of a hybrid intellectual system for determining the location of objects from their photographs. The analysis of existing approaches to the assessment of geolocation of photographs was carried out; a generalized structure of the hybrid intelligent system for determining the location of objects from their photographs was proposed. To assess the location, it is proposed to analyze both the data on the GPS coordinates of the original photo and those similar to it, and the classification of objects in the photo: city, nature. Geolocation is considered as a classification problem when the earth's surface is divided into disjoint adjacent cells.
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