IEEE Geoscience and Remote Sensing Magazine - September 2023 - Cover3

CALL FOR PAPERS
IEEE Geoscience and Remote Sensing Magazine
Special issue on " AI meets Remote
Sensing Image Understanding "
Guest Editors
Prof. Gong Cheng, Northwestern Polytechnical University, China (gcheng@nwpu.edu.cn)
Prof. Jun Li, China University of Geosciences, China (lijuncug@cug.edu.cn)
Prof. Xian Sun, Chinese Academy of Sciences, China (sunxian@aircas.ac.cn)
Ass. Prof. Zhongling Huang, Northwestern Polytechnical University, China (huangzhongling@nwpu.edu.cn)
Prof. Mihai Datcu, University POLITEHNICA of Bucharest (UPB), Romania (mihai.datcu@upb.ro)
Prof. Antonio Plaza, University of Extremadura, Spain (aplaza@unex.es)
Remote sensing (RS) image understanding aims at extracting valuable information and acquiring knowledge from remotely sensed
data, and artificial intelligence (AI) plays a significant role. With the increased data availability and the development of techniques for
data interpretation -particularly, deep learning (DL) techniques- the past
research efforts focused on the visual
few years have witnessed a tremendous growth of
interpretation of remote sensing images. Such techniques have made significant
breakthroughs in multiple domains, such as scene classification, object detection, feature extraction and recognition, and landuse/land-cover
mapping, to name a few. Nevertheless, there are still several challenges in this field, mostly related to the robustness
and transferability of interpretation approaches, the efficient perception and understanding of RS mages, the effective fusion and
utilization of multi-modal RS data, etc. This special issue that is aimed at investigating new techniques, algorithms and architectures
that can be used to overcome the above-mentioned challenges and bring together the state-of-the-art research in this field.
This special issue accepts review/tutorial papers on the following topics:
*
Foundation models for downstream tasks of RS image understanding
*
*
*
Robust AI architectures for detection, segmentation, and recognition in RS images
Integration of geographical knowledge and deep neural networks in RS image interpretation
* Development of high-quality and large-scale benchmarks with multi-source data for AI understanding of RS images
*
Effective processing using AI of multi-modal/sensor RS data
Applications, such as smart agriculture, change detection and understanding of RS time series , environmental monitoring and sustainable
development, urban/rural monitoring and assessment, natural disaster warning and management
Articles submitted to this special issue of the IEEE Geoscience and Remote Sensing Magazine must contain significant
relevance to geoscience and remote sensing and should have noteworthy tutorial/review value. Selection of invited papers
will be done on the basis of 4-page White papers, submitted in double-column format. These papers must discuss the
foreseen objectives of the paper, the importance of the addressed topic, the impact of the contribution, and the authors'
expertise and past activities on the topic. Contributors selected on the basis of the White papers will be invited to submit
full manuscripts. Manuscripts should be submitted online at http://mc.manuscriptcentral.com/grsm using the Manuscript Central
interface. Prospective authors should consult the site http://ieeexplore.ieee.org/servlet/opac?punumber=6245518 for guidelines and
information on paper submission. Submitted articles should not have been published or be under review elsewhere. All submissions
will be peer reviewed according to the IEEE and Geoscience and Remote Sensing Society guidelines.
Special Issue tentative schedule:
December 31, 2023
January 31, 2024
March 31, 2024
July 31, 2024
October 31, 2024
January 31, 2025
February 28, 2025
June 2025
Digital Object Identifier 10.1109/MGRS.2023.3307828
White paper submission deadline
Invitation notification
Full paper submission deadline
Review notification
Revised manuscript due
Final acceptance notification
Final manuscript due
Publication date
http://mc.manuscriptcentral.com/grsm http://ieeexplore.ieee.org/servlet/opac?punumber=6245518
IEEE Geoscience and Remote Sensing Magazine - September 2023

Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - September 2023
