An encoder–decoder network for land cover classification using a fusion of aerial images and photogrammetric point clouds

IF 1.2 4区 地球科学 Q3 ENGINEERING, CIVIL
Soheil Majidi, Ghazale Babapour, Reza Shah-Hosseini
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引用次数: 0

Abstract

Land cover information is becoming more important in urban planning, change detection, and management. The fusion of point clouds and images increases the accuracy of land use classification by uti...
利用航空图像和摄影测量点云融合进行土地覆被分类的编码器-解码器网络
在城市规划、变化检测和管理中,土地覆被信息正变得越来越重要。点云和图像的融合可提高土地利用分类的准确性,利用点云和图像的融合还可提高土地利用分类的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Survey Review
Survey Review 地学-地球科学综合
CiteScore
3.50
自引率
6.20%
发文量
33
审稿时长
6 months
期刊介绍: Survey Review is an international journal that has been published since 1931, until recently under the auspices of the Commonwealth Association of Surveying and Land Economy (CASLE). The journal is now published for Survey Review Ltd and brings together research, theory and practice of positioning and measurement, engineering surveying, cadastre and land management, and spatial information management. All papers are peer reviewed and are drawn from an international community, including government, private industry and academia. Survey Review is invaluable to practitioners, academics, researchers and students who are anxious to maintain their currency of knowledge in a rapidly developing field.
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