Image Anomaly Detection Utilizing the Normalized Laplacian Matrix
Faculty Sponsor(s)
Kate Lorenzen
Subject Area
Physics/Applied Physics
Description
Anomaly detection refers to the process of finding objects that do not conform to patterns, such as locating a red balloon amongst blue balloons. The use of computer algorithms to do this process is becoming more common in practical applications. This paper compares multiple algorithms to compare their effectiveness for detecting anomalies from satellite images.
Rights
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Longbottom, Jakob Thomas and Lorenzen, Kate, "Image Anomaly Detection Utilizing the Normalized Laplacian Matrix" (2023). Linfield University Student Symposium: A Celebration of Scholarship and Creative Achievement. Event. Submission 22.
https://digitalcommons.linfield.edu/symposium/2023/all/22
Image Anomaly Detection Utilizing the Normalized Laplacian Matrix
Anomaly detection refers to the process of finding objects that do not conform to patterns, such as locating a red balloon amongst blue balloons. The use of computer algorithms to do this process is becoming more common in practical applications. This paper compares multiple algorithms to compare their effectiveness for detecting anomalies from satellite images.
