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新型串联雷达卫星系统Tandem-L观测地球生态变化
新型串联 雷达卫星系统 Tandem-L 地球生态
2018/1/16
为了应对全球性的挑战如气候变化、环境破坏、资源匮乏、人口增长以及生态多样性的减少，德国正在加紧寻找解决方案。对此，德国航空航天中心DLR下属的亥姆霍茨研究联盟的研究项目“遥感和地球系统的动态变化”（EDA）将为此进行科研探索。该研究联盟的目标是利用新型的卫星产品提出针对气候变化及其它环境变化的精准预测。EDA提出建立一个新的串联式雷达卫星系统Tandem-L的提议，以观测地球每周的变化。Tande...
TerraSAR-X and TanDEM-X Revolution in Spaceborne Radar
TerraSAR-X TanDEM-X Revolution Spaceborne Radar
2015/11/20
While Earth Observation from space in the past was mainly focused on scientific purposes, today data and the derived information products are increasingly used for various commercial applications. Pot...
EXTRACTION OF BUILIDNG SHAPE FROM TANDEM-X DATA
TanDEM-X Interferometry Building Detection
2014/4/24
Large scale mapping and modeling of urban areas is requested in many fields, especially in planning of energy supply and for change detection. For this purpose, SAR systems are highly attractive due t...
TANDEM-X MISSION: OVERVIEW, STATUS AND OUTLOOK
TanDEM-X TerraSAR-X SAR Radar Interferometer DEM Digital Elevation Model
2014/4/24
TanDEM-X (TerraSAR-X add-on for Digital Elevation Measurement) opens a new era in spaceborne radar remote sensing [1]–[3], [9], [12]. Realized in the framework of a public-private partnership between ...
Speeding up Tandem Mass Spectrometry Based Database Searching by Peptide and Spectrum Indexing
Mass Spectrometry Database Searching Peptide Spectrum Indexing
2010/12/21
Database searching is the technique of choice for shotgun proteomics, and to date much research effort has been spent on improving its effectiveness. However, database searching faces a serious challe...
PeakSelect: preprocessing tandem mass spectra for better peptide identification
preprocessing tandem mass spectra peptide identification
2010/12/17
We present a new preprocessing method, PeakSelect, to improve the accuracy and efficiency of
Tandem Mass-Spec peptide (protein) identification. The fundamental difference between noise and fragment i...
Mining Tandem Mass Spectral Data to Develop a More Accurate Mass Error Model for Peptide Identification,
Spectral Data Mass Error Model Peptide Identification
2010/12/17
The assumption on the mass error distribution of fragment ions plays a crucial role in
peptide identification by tandem mass spectra. Previous mass error models are the
simplistic uniform or normal ...
Preprocessing of Tandem Mass Spectrometric Data Based on Decision Tree Classification
peptide identification Q-TOF tandem mass spectra feature selection
2010/12/15
In this study, we present a preprocessing method for quadrupole time-of-flight (Q-TOF) tandem mass spectra to increase the accuracy of database searching for peptide (protein) identification. Based on...
Processing of tandem mass spectrometric data based on decision tree classification
Peptide identification Q-TOF tandem mass spectra Feature selection
2010/12/15
We present a processing method for Q-TOF tandem mass spectra to increase the accuracy of database searching for peptide (protein) identification. Based on the natural isotopic information inherent in ...
pLabel: A Novel Toos for Tandem Mass Spectromic Data Labeling and Mining
Novel Toos Tandem Mass Spectromic Data Labeling Mining
2010/12/14
Tabout peptide fragmentation into their peptide-scoring algorithms, automatic knowledge discovery from tandem mass spectromic data is still lacking. pLabel, developed by us, is a tool which allows aut...
Predicting Molecular Formulas of Fragment Ions with Isotope Patterns in Tandem Mass Spectra
Predicting Molecular Formulas Fragment Ions Isotope Patterns Tandem Mass Spectra
2010/12/14
Tandem mass spectrometry (MS/MS) is an essential and reliable tool for biologists to identify peptide and protein sequences. Many approaches have been designed for peptide sequencing. One important cl...
Exploiting the kernel trick to correlate fragment ions for peptide identification via tandem mass spectrometry,
correlate fragment ions peptide identification tandem mass spectrometry
2010/12/14
The correlation among fragment ions in a tandem mass spectrum is crucial in reducing stochastic mismatches
for peptide identification by database searching. Until now, an efficient scoring algorithm ...