Spatial Anomaly Detection
Spatial Anomaly Detection is a type of anomaly detection method that identifies rare, atypical patterns or instances in spatial data by explicitly leveraging the geographic location, spatial relationships, and regional dependencies inherent in the data to distinguish anomalies from normal spatial occurrences.
223
Publications
13.1K
Citations
690
Authors
283
Institutions
Publications per year
2017–2026
105
223
Anomaly detection in crowded scenes
Vijay Mahadevan, Weixin Li, Viral Bhalodia et al. · 2010 · 1.5K citations
Video anomaly detection based on local statistical aggregates
Venkatesh Saligrama, Chen Zhu · 2012 · 341 citations
1–5 of 223
690
13
h-index
University of Maryland, Baltimore County, United States
7 publications · 197 citations
7
h-index
7
h-index
5
h-index
Uniformed Services University of the Health Sciences, United States
5 publications · 465 citations
5
h-index
1–5 of 690
283
Virginia Tech
Blacksburg, United States
11 h-index
35 publications
1.7K citations

Central South University
Changsha, China
7 h-index
20 publications
417 citations

Chinese Academy of Sciences
Beijing, China
6 h-index
16 publications
639 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
5 h-index
10 publications
356 citations
University of Maryland, Baltimore County
Baltimore, United States
5 h-index
8 publications
189 citations
Uniformed Services University of the Health Sciences
Bethesda, United States
5 h-index
5 publications
465 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
5 publications
180 citations

University of Minnesota
Minneapolis, United States
4 h-index
11 publications
798 citations
1–8 of 283
8 publications · 1.1K citations
8
h-index
6 publications · 249 citations
6
h-index
5 publications · 416 citations
5
h-index
4 publications · 91 citations
4
h-index
IDA · 4 publications · 126 citations
4
h-index
1–5