Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Xianyong Gong"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Due to their unstructured characteristics, mature convolutional neural network (CNN) models often have difficulty performing spatial analysis with vector data. Current studies used graph neural network (GCN) models to address this problem. However, t
Externí odkaz:
https://doaj.org/article/f23a1ac88709423ca8ed7a1b262ba612
Publikováno v:
Geocarto International, Vol 39, Iss 1 (2024)
Multilane roads in vector data are comprised of parallel line features that represent the same road. The extraction of these features is crucial for updating maps and cartographic generalization. This article addresses previous object-level extractio
Externí odkaz:
https://doaj.org/article/f7b219c998564201980e792135ef4402
Publikováno v:
Open Geosciences, Vol 14, Iss 1, Pp 1113-1124 (2022)
Point settlement selection is one of the critical tasks in map generalization, which should consider spatial distribution, spatial conflict, proximity to objects, and other factors. By analyzing the current research, spatial structure-preserving and
Externí odkaz:
https://doaj.org/article/ec339c2422ad4f97a24f63e95c951c28
Publikováno v:
Journal of Geodesy and Geoinformation Science, Vol 2, Iss 4, Pp 73-83 (2019)
In this paper, we propose a new method to achieve automatic matching of multi-scale roads under the constraints of smaller scale data. The matching process is: Firstly, meshes are extracted from two different scales road data. Secondly, several basic
Externí odkaz:
https://doaj.org/article/aaf740d8eb0d45d3b66fbbb78d957810
Autor:
Yue Qiu, Fang Wu, Haizhong Qian, Renjian Zhai, Xianyong Gong, Jichong Yin, Chengyi Liu, Andong Wang
Publikováno v:
Remote Sensing, Vol 15, Iss 1, p 95 (2022)
Convolutional neural networks (CNNs) perform well in tasks of segmenting buildings from remote sensing images. However, the intraclass heterogeneity of buildings is high in images, while the interclass homogeneity between buildings and other nonbuild
Externí odkaz:
https://doaj.org/article/2dfc59d303f54940a060691df204feb1
Publikováno v:
Transactions in GIS. 27:752-776
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4744 (2022)
Detecting buildings, segmenting building footprints, and extracting building edges from high-resolution remote sensing images are vital in applications such as urban planning, change detection, smart cities, and map-making and updating. The tasks of
Externí odkaz:
https://doaj.org/article/b11b3c14953e415988189c194645992d
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 3914 (2022)
There remains several challenges that are encountered in the task of extracting buildings from aerial imagery using convolutional neural networks (CNNs). First, the tremendous complexity of existing building extraction networks impedes their practica
Externí odkaz:
https://doaj.org/article/2a6ede41f6d649ecb2e0853aacaf3c5e
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 7, p 450 (2021)
The ditch pattern reflects the distribution characteristics of an agricultural drainage system and needs to be detected to enrich the data source before map generalization. Due to several breaks, the connectivity of the ditches is destroyed between d
Externí odkaz:
https://doaj.org/article/f61737a3fb3e48dbbc6a864a4457963b
Publikováno v:
Cartography and Geographic Information Science. 49:313-337