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The “Provincial Space Plan Pilot Program” issued in December 2016 pointed out that the existing space management and control information management platforms of various departments were integrated, an...
In order to make the quality evaluation for the Fundamental Geographic Information Databases(FGIDB) more comprehensive, objective and accurate, this paper studies and establishes a quality model of FG...
To address the difficulty involved when using existing commercial Geographic Information System platforms to integrate multi-source image data fusion, this research proposes the loading of multi-sourc...
This paper takes Guangxi coastal zone as the study area, following the standards of land use type, divides the coastal zone of ecological landscape into seven kinds of natural wetland landscape types ...
In September 2015, the 193 Member States of the United Nations (UN) unanimously adopted the 2030 Agenda for Sustainable Development and its 17 Sustainable Development Goals (SDGs), aiming to transform...
This study presents a practical method to estimate dimensions of Paramuricea clavata colonies using generic photographic datasets collected across wide areas. Paramuricea clavata is a non-rigid, tree-...
In recent years, extensive research has been conducted to automatically generate high-accuracy and high-precision road orthophotos using images and laser point cloud data acquired from a mobile mappin...
In this paper, we describe a cross-disciplinary process that uses photogrammetric surveys as a precise basis for video projection mapping techniques. Beginning with a solid basis that uses geoinformat...
In this paper, an efficient and robust registration method of multiple point clouds is proposed. In our research, we assume that point clouds are acquired by Terrestrial Laser Scanning (TLS) systems, ...
During the last few years, there has been a huge methodological development regarding the automatic processing of 3D point cloud data acquired by both terrestrial and aerial mobile mapping systems, mo...
针对极化SAR图像在监督分类时存在人工标注样本费时费力以及浅层结构学习算法的表达能力有限等问题,提出一种基于主动深度学习的极化SAR图像分类方法。首先,对测量数据进行多种极化特征提取,以便完整地描述图像信息; 在此基础上,通过自动编码器对大量无标记样本进行非监督学习,提取更具可分性和不变性的深层特征; 然后,利用少量标记样本训练分类器,并与自动编码器连接,以监督学习的方式微调整个网络; 最后,通过...
The aim of this paper is to present the methodology followed and the results obtained by the synergistic exploitation of geo-information methods towards 3D mapping of the impact of the catastrophic ea...
In times of crisis, it is a priority to get help as soon as possible and any kind of help can be accepted. Especially, all kinds of support by volunteers, is a great help in crisis resolution. Crisis ...
The object of this work is to develop web tools, which provide remote services necessary for disaster management purposes in domain of satellite Earth observation (EO) of vegetation areal, primarily f...
The concept of accessibility that bases on continuing the flow of people, goods and services uninterruptedly is discussed as “maximum contact by minimum facility”. This concept which is related with t...

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