… resolved by multispectral sensors. Two types of anomaly detection are of interest and
considered in this paper. One was previously developed by Reed and Yu to detect targets whose …

… In this study, two real hyperspectral data sets were used for anomaly detection. One data set
… This study applied anomaly detection algorithms with a hyperspectral image to detect fire …

… Therefore, this work provides an overview of different research findings, and propose
solutions to improve image anomaly detection (IAD) in the context of images tampering, using …

… In this work, we are interested in anomaly detection, which can be viewed as a particular
case of … The goal of anomaly detection is to find objects in the image that are anomalous with …

… for real-time or near real-time detection from airborne and spaceborne platforms in support of
… recent advances in anomaly detection from hyperspectral remote sensing images and their …

… sensors in which the random projections occur simultaneously with signal acquisition.
Consequently, we focus on anomaly detection … to attempt traditional anomaly detection after a data …

… In this article we develop anomaly detectors, ie, detectors that do not presuppose a …
anomaly detectors for the local normal and global normal mixture models. The anomaly detector …

… data, and then develop reasonable anomaly detectors to discover novel or … anomaly
detection is the image data, then comes the visual anomaly detection or image anomaly detection…

… Considering that part of the infrared band image in optical remote sensing image does not
… image of optical remote sensing image was used in the experiment. The anomaly detection …

… global and local versions for different type of anomalies. Aiming at a real-time … anomaly
detectors to be real-time detectors. The algorithms exploit the fact that a true real-time detector …