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Anomaly detection has been of great interest in hyperspectral imagery analysis. Most conventional anomaly detectors merely take advantage of spectral and spatial information within neighboring pixels....
We have studied the spectral features of reflectance and emissivity in the pattern recognition of urban materials in several single hyperspectral scenes through a comparative analysis of anomaly detec...
In this paper, the authors demonstrate that MODIS sensor multispectral imagery may be used in marine and coastal environment monitoring and for anomaly detection and that MODIS imagery may represent a...
Nowadays the use of hyperspectral imagery specifically automatic target detection algorithms for these images is a relatively exciting area of research.An important challenge of hyperspectral target ...
The recent surge in remotely sensed imagery with multi to hyper spectral cubes has made it very difficult to detect features because of the sheer volume of data. In a sense it is locating the needle i...
Understanding of human dynamics has drawn attention to various areas. Due to the wide spread of positioning technologies that use GPS or public Wi-Fi, location information can be obtained with high sp...
The AVHRR Pathfinder database and the Global Precipitation Climatology Center gridded precipitation database are coupled to estimate global patterns of vegetation and precipitation stress. These pat...
The aim of this work is the comparative study of the presence of hydrothermal alteration materials in the Turrialba volcano (Costa Rica) in relation with computed spectral anomalies from multitemporal...
This thesis analyzes the anomalous measurement metric in high dimension feature space, where it is supposed the Gaussian assumption for state-of-art mahanlanobis algorithms is reasonable. The realizat...

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