root.skip-to-content
Log In
Log in with Shibboleth
Communities & Collections
Browse TUstorage
Statistics
Log In
Log in with Shibboleth
Home
Public Test Area
Distributionen
MDPI AG
Periodika
IJGI
2022
A Comparative Study of Various Deep Learning Approaches to Shape Encoding of Planar Geospatial Objects
Distribution
PDF
A Comparative Study of Various Deep Learning Approaches to Shape Encoding of Planar Geospatial Objects
Format
pdf
Authors
Xiongfeng Yan
Min Yang
Journal ISSN
Publisher
Dataset
No Thumbnail Available
Dataset
A Comparative Study of Various Deep Learning Approaches to Shape Encoding of Planar Geospatial Objects
(
MDPI AG
,
2022
)
Xiongfeng Yan
;
Min Yang
Show more
Description
Keywords
URI
https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/25273
Full item page
Files
Original bundle
Now showing
1 - 1 of 1
Loading...
Name:
ijgi-11-10-00527.pdf
Size:
2.23 MB
Format:
Adobe Portable Document Format
Download