نتایج جستجو برای: anomaly separation

تعداد نتایج: 161992  

Journal: :فیزیک زمین و فضا 0
محمدرضا آزاد کارشناس ارشد مهندسی اکتشاف معدن، دانشگاه صنعتی شاهرود، شرکت سیمان قاین

according to this reality that iron bulks because of having ferromagnetic minerals, they have high magnetic intensity, in mining explorations most usual geophysical method  suggested to explore these resources is magnetic method. basically in order to process and interpretation of magnetic anomaly maps several methods be used of which most of these methods are based on try and error. one of usu...

Journal: :Medical ultrasonography 2013
Mirela Ritivoiu Florin Brezan Ioana Codreanu Mircea Stamate Ioana Anca

Holoprosencephaly (HPE) is a rare anomaly of the brain consisting of an absent or incomplete separation of the forebrain in early gestation. We present 2 variants of HPE, diagnosed by ultrasound, which combined with the clinical features led to HPE subtypes differentiation.

2017
G. Zhao J. L. Yan Y. J. Yu M. C. Ding X. G. Zhao H. Y. Wang

The relationship between structural order and water-like anomalies in tetrahedral liquids is still open. Here, first-principle molecular dynamics are performed to study it in metastable liquid Si. It is found that in T-P phase diagram, there indeed exists a structural anomaly region, which encloses density anomaly but not diffusivity anomaly. This is consistent with that of SW Si and BKS SiO2 b...

Journal: :Remote Sensing 2022

A significant challenge in methods for anomaly detection (AD) hyperspectral images (HSIs) is determining how to construct an efficient representation anomalies and background information. Considering the high-order structures of HSIs estimation information AD, this article proposes a kernel minimum noise fraction transformation-based separation model (KMNF-BSM) separate First, spectral-domain K...

Journal: :journal of ai and data mining 2015
mohsen zare-baghbidi saeid homayouni kamal jamshidi a. r. naghsh-nilchi

anomaly detection (ad) has recently become an important application of hyperspectral images analysis. the goal of these algorithms is to find the objects in the image scene which are anomalous in comparison to their surrounding background. one way to improve the performance and runtime of these algorithms is to use dimensionality reduction (dr) techniques. this paper evaluates the effect of thr...

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