Artificial Intelligence for Optical Remote Sensing Image Processing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "AI Remote Sensing".
Deadline for manuscript submissions: 26 March 2026
Special Issue Editors
Interests: Artificial Intelligence Applications in Atmospheric Science; Artificial Intelligence Applications in Severe Weather Prediction; Artificial Intelligence Applications in Climate Change; Convective Weather; Data Mining and Knowledge Discovery; Remote Sensing Image Processing; Applied Meteorology; Computer Vision
Special Issues, Collections and Topics in MDPI journals
Interests: atmospheric sciences; air pollution control; differential optical absorption spectroscopy (DOAS); ozone hole; optoelectronic remote sensing instrumentation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the field of remote sensing, optical remote sensing image processing plays a pivotal role in extracting valuable information from the Earth's surface. With the rapid advancement of technology, artificial intelligence (AI) has emerged as a game-changer in this field, revolutionizing the way we analyze and interpret optical remote sensing images. This field integrates machine learning, deep learning and computer vision techniques to address challenges such as noise reduction, feature extraction and semantic segmentation in satellite and aerial imagery. Innovations like convolutional neural networks (CNNs) and generative adversarial networks (GANs) enable real-time analysis, supporting applications in environmental monitoring, urban planning and disaster response. By leveraging AI, researchers and practitioners can unlock deeper insights from remote sensing data, paving the way for smarter decision-making and sustainable development.
Moreover, AI can also be used for image restoration and enhancement. Remote sensing images often suffer from various distortions, such as noise, blurring and atmospheric interference. AI algorithms can effectively remove these distortions, improve the image quality and make it easier to extract meaningful information. In addition, AI enables the integration of remote sensing data with other data sources, such as geographic information system (GIS) and meteorological data. This integrated approach provides a more comprehensive understanding of the Earth's environment and helps in making more informed decisions in fields like agriculture, environmental monitoring and disaster management.
In conclusion, AI has brought about a new era in optical remote sensing image processing. It has not only improved the efficiency and accuracy of image analysis, but also opened up new possibilities for various applications. As AI technology continues to evolve, we can expect even more innovative solutions in this field, further advancing our ability to monitor and understand our planet.
Prof. Dr. Wei Fang
Prof. Dr. Daniele Bortoli
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 100 words) can be sent to the Editorial Office for announcement on this website.
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.
Keywords
- • Artificial Intelligence for Science • Optical Remote Sensing • Image Processing • Geographic Information System • Noise Reduction and Image Enhancement • Feature Extraction and Semantic Segmentation • Super-Resolution Reconstruction • Satellite Imagery • Computer Vision • Multimodal Data Integration • Heatwave Warning • Disaster Management • Crop Monitoring • Environmental Monitoring • Urban Planning • Infrastructure Inspection
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