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Figure/Table detail
A We-Map Mapping Method for Urban Waterlogging Scenarios
FU Xuan, YAN Haowen, WANG Xiaolong, YAN Xiaojing, WANG Zhuo, MA Wenjun
Journal of Geo-information Science
, 2024, 26(
5
): 1166-1179. DOI:
10.12082/dqxxkx.2024.230153
图结构
起点
终点
最短路径
长度
A
B
{A,B}
1
C
{A,B,E,C}
8
D
{A,B,D}
4
E
{A,B,E}
3
F
{A,B,E,F}
7
A
B
{A,B}
1
C
{A,B,D,C}
8
D
{A,B,D}
4
E
{A,B,D,C,E}
13
F
{A,B,D,C,E,F}
17
Tab. 1
Example of Dijkstra algorithm calculation
Other figure/table from this article
Fig. 1
Diagram of proposed scheme
Fig. 2
Structure diagram of BiLSTM-CRF
Fig. 3
Disaster emergency navigation map
Tab. 2
Experimental environment configuration
Tab. 3
Experimental test results
Fig. 4
Example of identifying waterlogging points in weibo text data
Fig. 5
Visualization results of waterlogging points in Zhengzhou city
Fig. 6
Comparison of official waterlogging points
Fig. 7
Map of urban waterlogging points at road network level
Fig. 8
Real-time generation of online map to display waterlogged road sections
Fig. 9
Emergency navigation we-map
Tab. 4
Comparison between conventional mapping and we-map mapping methods