Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Haizhong Qian"'
Publikováno v:
Geocarto International, Vol 39, Iss 1 (2024)
AbstractDetermining the optimal generalization operators of city buildings is a crucial step during the building generalization process and an important aspect of realizing cross-scale updating of map data. It is a decision-making behavior of the car
Externí odkaz:
https://doaj.org/article/87bddb3aa5214418b7a57f2861f9932c
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
AbstractDitches are vital to water system data. To ease the task of matching multi-scale ditch data and enhance accuracy (Acc), it is essential to discern ditch data matching patterns. Despite its importance, limited research has been conducted on di
Externí odkaz:
https://doaj.org/article/c277723d29c140138b6a5e0f25ac70f1
Autor:
Di Wang, Haizhong Qian
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
The spatial features and generalisation rules for river network generalisation are difficult to directly quantify using indicators. To consider dimensional information hidden in river networks and improve river network selection accuracy, this study
Externí odkaz:
https://doaj.org/article/9efc06e394c748ffba2348d32f3ceefa
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 12, p 469 (2023)
Building outlines are important for emergency response, urban planning, and change analysis and can be quickly extracted from remote sensing images and raster maps using deep learning technology. However, such building outlines often have irregular b
Externí odkaz:
https://doaj.org/article/e01c1934b12949fa8ea97a1cb4a8c384
Publikováno v:
Applied Sciences, Vol 13, Iss 23, p 12599 (2023)
Extraction of vectorized building outlines from high-resolution remote sensing images is highly useful for various application fields, such as map creation and urban planning. However, this process is often complicated by external factors, such as tr
Externí odkaz:
https://doaj.org/article/ee804b5bdd7248bb95b68bb2e28d75d6
Autor:
Di Wang, Haizhong Qian
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 10, p 416 (2023)
Existing research on automatic river network classification methods has difficulty scientifically quantifying and determining feature threshold settings and evaluating weights when calculating multi-indicator features of the local and overall structu
Externí odkaz:
https://doaj.org/article/175b35d12e2c40c8b8aa1fa14159c4b0
Autor:
Guoqing Chen, Haizhong Qian
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 9, p 363 (2023)
With the increasing availability of remote sensing images, the regularization of jagged building outlines extracted from high-resolution remote sensing images has become a current research hotspot. Based on an existing method proposed earlier by this
Externí odkaz:
https://doaj.org/article/8c163051a93a468fa7fa8981f53835fb
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 8, p 336 (2023)
As an essential role in cartographic generalization, road network selection produces basic geographic information across map scales. However, the previous selection methods could not simultaneously consider both attribute characteristics and spatial
Externí odkaz:
https://doaj.org/article/06a98b29639a401e9fcc0a8f7fca67b5
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:
ISPRS International Journal of Geo-Information, Vol 11, Iss 10, p 498 (2022)
As cities continue to grow, the functions of urban areas change and problems arise from previously constructed urban planning schemes. Hence, the actual distribution of urban functional areas needs to be confirmed. POI data, as a representation of ur
Externí odkaz:
https://doaj.org/article/fd1312b41d874485bf9dd45ac6c4411d