Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions
Authors
Keywords
-
Journal
DATA MINING AND KNOWLEDGE DISCOVERY
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-06-17
DOI
10.1007/s10618-020-00697-6
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- 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
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started