Integrating Deep Learning with Image Perception for Advanced Remote Sensing Applications

Dear Colleagues,

Remote sensing stands is a cornerstone of 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, the monitoring of climate change impacts, the assessment of natural disasters, and the 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 this Special Issue, entitled "Integrating Deep Learning with Image Perception for Advanced Remote Sensing Applications", is to explore the cutting-edge integration of deep learning techniques with image processing methodologies to enhance 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:

• Hyperspectral/multispectral classification;
• Multimodal remote sensing analysis;
• AI for remote sensing applications;
• Remote sensing data for object detection.

Dr. Xin He
Prof. Dr. Yushi Chen
Dr. Jinghui Yang
Prof. Dr. Aili Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.