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NOVEL HYPERSPECTRAL ANOMALY DETECTION METHODS BASED ON UNSUPERVISED NEAREST REGULARIZED SUBSPACE
Anomaly detection Hyperspectral imagery Unsupervised nearest regularized subspace Outlier Removal Local summation Dual-window sliding
2018/5/14
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....
2018年SPIE X射线异常检测与成像会议（The SPIE Anomaly Detection and Imaging with X-Rays （ADIX） III）
2018年 SPIE X射线异常检测与成像 会议
2017/10/27
X-ray imaging has its beginning in medical imaging. However, advances in x-ray component technology coupled with the exponential growth in computational capability has fueled the expansion of x-ray im...
HYPERSPECTRAL ANOMALY DETECTION IN URBAN SCENARIOS
Anomaly Detection (AD) Urban Areas Hyperspectral High Resolution Data DATB
2016/11/23
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...
MODIS DATA PROCESSING FOR COASTAL AND MARINE ENVIRONMENT MONITORING:A STUDY ON ANOMALY DETECTION AND EVOLUTION IN GULF OF CAGLIARI (SARDINIA-ITALY)
MODIS Oil Spill Monitoring Multispectral
2015/12/28
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...
ANOMALY DETECTION ALGORITHMS FOR HYPERSPECTRAL IMAGERY
Hyperspectral Target detection Anomaly detection
2015/9/8
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 ...
ANOMALY DETECTION IN NOISY MULTI AND HYPER SPECTRAL IMAGES OF URBAN ENVIRONMENTS
Urban Remote-sensing Anomaly detection speckle noise spectral data morphological operation
2015/8/3
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...
STATISTICAL ANOMALY DETECTION FOR MONITORING OF HUMAN DYNAMICS
Anomaly detection Human dynamics monitoring Dirichlet process Hidden markov model time-series data
2015/5/21
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...
INTEGRATED ASSESSMENT OF FOOD AND WATER SECURITY USING VEGETATION AND PRECIPITATION ANOMALY DETECTION
Satellite remote sensing the pathfinder database the global precipitation climatology database grid precipitation coupling precipitation patterns
2015/5/13
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...
ANOMALY DETECTION AND COMPARATIVE ANALYSIS OF HYDROTHERMAL ALTERATION MATERIALS TROUGH HYPERSPECTRAL MULTISENSOR DATA IN THE TURRIALBA VOLCANO
Spectral Anomaly Hydrothermal Alteration Hyperspectral Multispectral Multisensor
2014/4/29
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...
Robust Metric based Anomaly Detection in Kernel Feature Space
Anomaly detection hyperspectral images Manhanlobis distance
2014/4/29
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...
In this paper, we proposed a fast and robust unsupervised framework for anomaly detection and localization in crowed scenes. Our method avoids modeling the normal state of the crowds which is a very c...