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期刊荟萃|IEEE Transaction on Geoscience and Remote Sensing

蒋莉 慧天地 2019-06-30

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Aims & Scope

IEEE Transactions on Geoscience and Remote Sensing (TGRS) is a monthly publication that focuses on the theory, concepts, and techniques of science and engineering as applied to sensing the land, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information. This journal publishes technical papers disclosing new and significant research.  The technical content of papers must be both new and significant. Experimental data must be complete and include sufficient description of experimental apparatus, methods, and relevant experimental conditions.

Journal Information

 ※Impact Factor:4. 942

 ※Eigenfactor:0.04295

(Eigenfactor™ Score takes into account the number of times articles from a journal published in the last five years have been cited in the JCR year while also considering which journals have contributed these citations. Since citations are in this case weighted dependently on the source, The Eigenfactor Score belongs to the class of so-called prestige measures. The Eigenfactor Score represents the probability of reading a specific journal in the entire collection and therefore high-scoring journals have a greater influence in the scientific community.)

 Article Influence Score:1.240

(Article Influence™ Score is also a prestige measure and has all the features of the Eigenfactor Score, with an additional normalization to the number of published papers. Hence it can be considered the average influence of a journal's articles over the first five years after publication.)

Frequency:12

ISSN:0196-2892

Published by:

IEEE Geoscience and Remote Sensing Society

Subjects:Geoscience,Signal Processing & Analysis

Contacts:

Editor-in-Chief:Simon H. Yueh,Jet Propulsion Laboratory,Pasadena, CA 91109 USA,

Email: Simon.H.Yueh@jpl.nasa.gov

Popular Articles

Deep Recurrent Neural Networks for Hyperspectral Image Classification

Accurate Object Localization in Remote Sensing Images Based on Convolutional Neural Networks

Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification

The Importance of Physical Quantities for the Analysis of Multitemporal and Multiangular Optical Very High Spatial Resolution Images

Self-Taught Feature Learning for Hyperspectral Image Classification

Latest Published Articles

Hybrid Unmixing Based on Adaptive Region Segmentation for Hyperspectral Imagery

Efficient Phase Estimation for Interferogram Stacks

Prelaunch Radiometric Calibration of the Tan Sat Atmospheric Carbon Dioxide Grating Spectrometer

High-Resolution PolSAR Scene Classification With Pretrained Deep Convnets and Manifold Polarimetric Parameters

Statistical Properties of Marine Surface Slopes Using Glitter Patterns: The 2-D Case

Official Website:

https: //ieeexplore.ieee.org/xpl/Recent

Issue.jsp?punumber=36

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