Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Zhengcong Yin"'
Publikováno v:
Visual Informatics, Vol 3, Iss 1, Pp 48-57 (2019)
Although Parallel Sets, a popular categorical data visualization technique, intuitively reveals the frequency based relationships in details, a high-dimensional categorical dataset brings a cluttered visual display that seriously obscures the relatio
Externí odkaz:
https://doaj.org/article/20e9a9b2850244eaafc09c5bef3c6f28
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 8, Iss 9, p 412 (2019)
Road anomaly detection is essential in road maintenance and management; however, continuously monitoring road anomalies (such as bumps and potholes) with a low-cost and high-efficiency solution remains a challenging research question. In this study,
Externí odkaz:
https://doaj.org/article/c0de3dc648004b78b3a033f8601891c5
Publikováno v:
Remote Sensing, Vol 11, Iss 2, p 194 (2019)
Classification is a common objective when analyzing hyperspectral images, where each pixel is assigned to a predefined label. Deep learning-based algorithms have been introduced in the remote-sensing community successfully in the past decade and have
Externí odkaz:
https://doaj.org/article/4d96579c01ef41a9943ebd8b984e4f1d
Autor:
Da Huo, Andong Ma, Burak Güneralp, Anthony M. Filippi, Xiao Li, Zhengcong Yin, Zhangyang Wang
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 59:5920-5937
Classification is a critical, widely employed type of hyperspectral image (HSI) processing. Recently, deep learning models have been attracting more attention within the hyperspectral remote-sensing community due to their improved classification perf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87ec5271e77fe957866f28a44af8eeca
https://doi.org/10.1109/tgrs.2020.3018449
https://doi.org/10.1109/tgrs.2020.3018449
Publikováno v:
Transactions in GIS. 24:656-680
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee60f87cea23505e6325a61636f13a45
https://doi.org/10.1111/tgis.12623
https://doi.org/10.1111/tgis.12623
Publikováno v:
Transactions in GIS. 23:495-514
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d8ef3a8275d876375b65852ef89b5b7
https://doi.org/10.1111/tgis.12536
https://doi.org/10.1111/tgis.12536
Publikováno v:
CHI Extended Abstracts
Spatial clustering can reduce visual clutter on maps and facilitate pattern recognition. However, interactive map exploration needs the spatial clustering to be a dynamic generation and representation process. Users may change derivative representati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c18e762f72d32ee9a660a13bc727c5a8
https://doi.org/10.1145/3334480.3382803
https://doi.org/10.1145/3334480.3382803
Publikováno v:
GeoAI@SIGSPATIAL
Illegal parking is a critical problem in large, growing cities. Currently, the responsibility for detecting illegally parked vehicles has been left to law enforcement, which often requires manual inspection. To improve the efficiency of law enforceme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fab037a99835c98c3c67e902693ab0c
https://doi.org/10.1145/3356471.3365233
https://doi.org/10.1145/3356471.3365233
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 8, Iss 9, p 412 (2019)
ISPRS International Journal of Geo-Information
Volume 8
Issue 9
ISPRS International Journal of Geo-Information
Volume 8
Issue 9
Road anomaly detection is essential in road maintenance and management
however, continuously monitoring road anomalies (such as bumps and potholes) with a low-cost and high-efficiency solution remains a challenging research question. In this stu
however, continuously monitoring road anomalies (such as bumps and potholes) with a low-cost and high-efficiency solution remains a challenging research question. In this stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4eb10dffd7b948da542012c510bc4ac8
https://www.mdpi.com/2220-9964/8/9/412
https://www.mdpi.com/2220-9964/8/9/412
Publikováno v:
ICGDA
A spatio-temporal analysis system is becoming critical in many disciplinaries to acquire, analyze, and visualize data. However, conducting spatio-temporal analysis often requires certain levels of domain knowledge and experience: on one hand, sophist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::363ac5090f42f97319a5a5270531d281
https://doi.org/10.1145/3318236.3318240
https://doi.org/10.1145/3318236.3318240