Artificial Intelligence for Remote Sensing: New Advances

Topic Information

Dear Colleagues,

Remote sensing stands as a cornerstone in modern environmental monitoring and geographical information systems. Its importance lies in its unparalleled ability to gather data over large, often inaccessible areas swiftly and repeatedly. By leveraging advanced sensors and satellite technology, remote sensing facilitates the accurate mapping of terrain, monitoring of climate change impacts, assessment of natural disasters, and efficient management of agricultural resources. It enables scientists and policymakers to make informed decisions based on real-time, comprehensive datasets, fostering sustainable development and effective disaster response strategies. This technology bridges the gap between data acquisition and actionable insights, making it indispensable.

The aim of the topic titled “Artificial Intelligence for Remote Sensing: New Advances” is to explore the cutting-edge integration of new deep learning techniques with image processing methodologies for enhancing remote sensing capabilities. This integration aims to address the complex and diverse challenges associated with remote sensing data, such as improving image classification accuracy, enhancing target detection and recognition, and facilitating more efficient data analysis and interpretation. Articles may address, but are not limited to, the following topics:

• Foundation model-based methods for hyperspectral analysis
• Multimodal remote sensing analysis
• Artificial intelligence for remote sensing advances

Prof. Dr. Aili Wang
Dr. Xin He
Dr. Dayan Guan
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
AI ai	6.5	7.3	2020	20.4 Days	CHF 1800	Submit
Applied Sciences applsci	2.9	6.1	2011	15 Days	CHF 2400	Submit
Electronics electronics	2.9	7.0	2012	14.8 Days	CHF 2400	Submit
Machine Learning and Knowledge Extraction make	8.4	12.7	2019	18.7 Days	CHF 1800	Submit
Remote Sensing remotesensing	4.3	9.4	2009	22 Days	CHF 2700	Submit
Sci sci	4.1	5.4	2019	28.2 Days	CHF 1400	Submit

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