IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

期刊名
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

IEEE T GEOSCI REMOTE

ISSN / eISSN
0196-2892 / 1558-0644
目标和范围
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.
研究方向

地球化学与地球物理

工程:电子与电气

成像科学与照相技术

CiteScore
10.90 查看趋势图
CiteScore 学科排名
类别 分区 排名
Earth and Planetary Sciences - General Earth and Planetary Sciences Q1 #8/192
Earth and Planetary Sciences - Electrical and Electronic Engineering Q1 #59/738
Web of Science 核心合集
Science Citation Index Expanded (SCIE) Social Sciences Citation Index (SSCI)
Indexed -
类别 (Journal Citation Reports 2023) 分区
ENGINEERING, ELECTRICAL & ELECTRONIC - SCIE Q1
GEOCHEMISTRY & GEOPHYSICS - SCIE Q1
IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY - SCIE Q1
REMOTE SENSING - SCIE Q1
H-index
216
出版国家或地区
UNITED STATES
出版商
Institute of Electrical and Electronics Engineers Inc.
出版周期
Monthly
年文章数
2198
Open Access
NO
通讯方式
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, USA, NJ, 08855-4141
认证评论
注: 认证评论选取于全球各个学术评论平台和社交媒体。
I personally think that a certain individual who constantly changes accounts is too extreme. They always focus on papers related to deep learning and machine learning. To be honest, 99% of people in the remote sensing field use ready-made methods for machine learning and deep learning. There are just too many. If you say that deep learning and machine learning are not important in the field of remote sensing, there are plenty of papers in journals such as RSE (Remote Sensing of Environment), AFM (Agricultural and Forest Meteorology), JGR (Journal of Geophysical Research), and ESSD (Earth System Science Data) that utilize deep learning and machine learning for remote sensing products and algorithms. Just search and you will find out. In other words, this is how the remote sensing community operates. TGRS (IEEE Transactions on Geoscience and Remote Sensing) is relatively strict in this regard. For example, I know a prominent figure who is a deputy editor of TGRS, and he said that they usually reject papers related to machine learning without even sending them for review. This is related to the attitude of the editors towards the manuscripts. TGRS has a high reputation in the industry, especially in the hearts of smaller peers, because of the publication of milestone papers on electromagnetic scattering and emission models, remote sensing mechanisms, SAR imaging algorithms, and commercialized physical algorithms for products. The quality of a journal should be judged based on how many milestone papers it has, not by focusing on marginal topics and the lower limits of papers. Also, one should not easily draw extreme conclusions, as this is unfair to those who are genuinely working on remote sensing mechanisms. There are plenty of journals for applications, but for remote sensing models, one can rely on IEEE TGRS and its letters.
2021-01-09
Submission in September 2020: I hesitated for a long time between submitting to ISPRS or TGRS (TGRS is really disappointing in terms of impact factor, Weng Qihao is awesome).

First major revision in December 2020: Three reviewers, all junior colleagues. Two reviewers suggested major revisions (5 comments each, similar suggestions to simplify formula derivation and increase textual explanations (there were too many complex formulas in the original manuscript), provide additional explanations and discussions on parameters, modify image fonts, and two positive evaluations). One reviewer suggested minor revisions (modify chart fonts and correct some symbol errors). The associate editor gave a major revision without any additional comments.

Second minor revision in January 2021: Two reviewers accepted the manuscript with minor revisions (recommended citing papers, modifying color scheme in Figure 1).

Acceptance in February 2021: I can't help but complain about IEEE's final formatting, it's really ugly. I spent a long time aligning the long formulas in LaTeX, only to have the IEEE typesetting editor revert them back to the original.

The review process for this paper was relatively slow, taking almost 6 months from start to finish. It may be due to the lengthy nature of the manuscript (exceeding 6 pages) and the large number of formulas. The reviewers took a long time to review, but their comments were quite professional. The second revision caught me off guard and delayed the process for over a month.

After the acceptance of the paper, I received phone calls from the reviewers one after another, and surprisingly, they were all familiar junior colleagues... After all the trouble, do we really have to harm each other?
2021-03-12

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