Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions
出版年份 2020 全文链接
标题
Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions
作者
关键词
-
出版物
DATA MINING AND KNOWLEDGE DISCOVERY
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-06-17
DOI
10.1007/s10618-020-00697-6
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- A Novel Utilization of Image Registration Techniques to Process Mastcam Images in Mars Rover With Applications to Image Fusion, Pixel Clustering, and Anomaly Detection
- (2017) Bulent Ayhan et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- The Mars Science Laboratory Curiosity rover Mastcam instruments: Preflight and in-flight calibration, validation, and data archiving
- (2017) J. F. Bell et al. Earth and Space Science
- The Mars Science Laboratory (MSL) Mast cameras and Descent imager: Investigation and instrument descriptions
- (2017) Michal C. Malin et al. Earth and Space Science
- Recognition of geochemical anomalies using a deep autoencoder network
- (2016) Yihui Xiong et al. COMPUTERS & GEOSCIENCES
- On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
- (2016) Guilherme O. Campos et al. DATA MINING AND KNOWLEDGE DISCOVERY
- A Novel Cluster Kernel RX Algorithm for Anomaly and Change Detection Using Hyperspectral Images
- (2016) Jin Zhou et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning
- (2016) Sarah M. Erfani et al. PATTERN RECOGNITION
- ChemCam passive reflectance spectroscopy of surface materials at the Curiosity landing site, Mars
- (2015) Jeffrey R. Johnson et al. ICARUS
- Principal Component Reconstruction Error for Hyperspectral Anomaly Detection
- (2015) James A. Jablonski et al. IEEE Geoscience and Remote Sensing Letters
- Deep learning
- (2015) Yann LeCun et al. NATURE
- A review of novelty detection
- (2014) Marco A.F. Pimentel et al. SIGNAL PROCESSING
- Chemistry of fracture-filling raised ridges in Yellowknife Bay, Gale Crater: Window into past aqueous activity and habitability on Mars
- (2014) Richard J. Léveillé et al. JOURNAL OF GEOPHYSICAL RESEARCH-PLANETS
- Analysis and Optimizations of Global and Local Versions of the RX Algorithm for Anomaly Detection in Hyperspectral Data
- (2013) J. M. Molero et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Neural representations of events arise from temporal community structure
- (2013) Anna C Schapiro et al. NATURE NEUROSCIENCE
- L1 norm based KPCA for novelty detection
- (2012) Yingchao Xiao et al. PATTERN RECOGNITION
- Mars Science Laboratory Mission and Science Investigation
- (2012) John P. Grotzinger et al. SPACE SCIENCE REVIEWS
- Characterization and Calibration of the CheMin Mineralogical Instrument on Mars Science Laboratory
- (2012) David Blake et al. SPACE SCIENCE REVIEWS
- Machine learning-based novelty detection for faulty wafer detection in semiconductor manufacturing
- (2011) Dongil Kim et al. EXPERT SYSTEMS WITH APPLICATIONS
- Applying the Possibilistic c-Means Algorithm in Kernel-Induced Spaces
- (2010) Maurizio Filippone et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data
- (2010) Jordi Mũnoz-Marí et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Anomaly detection
- (2009) Varun Chandola et al. ACM COMPUTING SURVEYS
- Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures
- (2009) Zhou Wang et al. IEEE SIGNAL PROCESSING MAGAZINE
- Analysis of Time Series Novelty Detection Strategies for Synthetic and Real Data
- (2009) André Paoliello Modenesi et al. NEURAL PROCESSING LETTERS
- Fast mining of distance-based outliers in high-dimensional datasets
- (2008) Amol Ghoting et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Outlier identification and market segmentation using kernel-based clustering techniques
- (2008) Chih-Hsuan Wang EXPERT SYSTEMS WITH APPLICATIONS
- Principal Component Analysis Based on L1-Norm Maximization
- (2008) N. Kwak IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
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