With the development of information technology, traditional geoscience methods of obtaining geographic information by field observation can no longer meet the needs of the current social development. Since the 1980s, with the advancement of spectral imaging technology, a large number of satellites and UAVs equipped with panchromatic, multispectral, or hyperspectral sensors have been developed and launched all around the world. Remote sensing has become a popular modern method by processing this information. It can quickly and timely obtain a large amount of accurate and objective geographic information, which is incomparable by traditional methods. Remote sensing has been widely used in forestry, agriculture, geology, mineral resources, hydrology and water resources, ocean, environmental monitoring, and other aspects, and has made a great contribution to the global economic and social development, as well as the sustainable development of resources. However, remote sensing still has vast space for development. Many fundamental issues and challenges concerning high-performance computing, information extraction, and application have not yet been identified and resolved (such as low utilization rate of information, slow information processing efficiency, and insufficient accuracy). Besides, combining remote sensing with new developments on big-data, artificial intelligence, and computer science, etc., is also desirable to embody the inherent advantages of remote sensing. Solutions to these issues are intensively pursued in this special section.
Scope of Topics
This special section aims to feature the recent developments of remote sensing and provide a platform for academic researchers and industrial engineers to share their latest results in remote sensing information processing and application. The topics of interest include but are not limited to
1. Image analysis algorithms (multispectral image, hyperspectral image, SAR, UAV image, etc.)
2. Data classifier design (deep learning, ensemble learning, transfer learning, etc.)
3. Multi-Source image fusion
4. Microwave remote sensing5. Global monitoring and assessment
Authors should prepare papers according to the TEMPLATE of Journal of Systems Engineering and Electronics, with reference to the Guide for Authors given at https://www.jseepub.com/ EN/1004-4132/home.shtml, and submit the Word version of the complete manuscript through the online submission system. When submitting the paper, the title format should be “Title (Special Section on Remote Sensing)”.
Manuscript due: June 30, 2022
Final review notification: August 31, 2022
Possible publication: October 31, 2022