Crater Detection Method using Principal Component Analysis and its Evaluation
نویسندگان
چکیده
منابع مشابه
Anomaly Detection Using Principal Component Analysis
Anomaly detection is the identification of items, events or observations which do not conform to an expected pattern or other items in a dataset. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or finding errors in text. Anomalies are also referred to as outliers, novelties, noise, deviations and exceptions. Many tec...
متن کاملVehicle Detection Using Principal Component Analysis
Given a graytone intensity image and a speciication of an interested vehicular (rectangular) shape (length, width and orientation), it is desired to know if there is such a vehicle located at a speciic point. In this report, this problem is posed within a statistical framework based on principal component analysis.
متن کاملEfficient Intrusion Detection Using Principal Component Analysis
Most current intrusion detection systems are signature based ones or machine learning based methods. Despite the number of machine learning algorithms applied to KDD 99 cup, none of them have introduced a pre-model to reduce the huge information quantity present in the different KDD 99 datasets. We introduce a method that applies to the different datasets before performing any of the different ...
متن کاملOutlier Detection in Wireless Sensor Networks Using Distributed Principal Component Analysis
Detecting anomalies is an important challenge for intrusion detection and fault diagnosis in wireless sensor networks (WSNs). To address the problem of outlier detection in wireless sensor networks, in this paper we present a PCA-based centralized approach and a DPCA-based distributed energy-efficient approach for detecting outliers in sensed data in a WSN. The outliers in sensed data can be ca...
متن کاملPrincipal Component Analysis of Geochemical Data at Gusev Crater
Introduction: Since January 2004, the twin rovers Spirit and Opportunity of the Mars Exploration Rover (MER) mission have been able to investigate their respective landing sites thanks to the Athena Science Payload [1]. This scientific payload includes the Alpha Particle X-ray Spectrometer (APXS) instrument [2], whose role is to determine the elemental composition of martian soils and rocks. Du...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, AEROSPACE TECHNOLOGY JAPAN
سال: 2016
ISSN: 1884-0485
DOI: 10.2322/tastj.14.pt_7