Image Enhancement and Fusion Techniques in Remote Sensing

Dear Colleagues,

One common challenge in remote sensing image-processing tasks is the obtaining of powerful, salient and comprehensive descriptions of images. However, remote sensing image acquisition is often affected by various factors, including noise, blurriness, low contrast, etc., leading to the limited availability of high-quality remote sensing images. Image enhancement and image fusion are two effective solutions to this issue. The former aims to enhance the quality and interpretability of images, while the latter generates more comprehensive descriptions of images through the integration of multi-source remote sensing data.

This Special Issue is accepting papers that discuss image enhancement and image fusion approaches and their applications in remote sensing image-processing tasks. Reviews and research articles on their methodologies or applications, including their advantages and limitations, are welcome. All contributions to this collection will undergo peer review. We welcome contributions that include, but are not limited to, the following:

• Deep learning-based image enhancement;
• Image denoising;
• Generative models for image generation;
• The super-resolution and restoration of images;
• Image quality assessments;
• Few-shot learning methods;
• Multi-modality image fusion (optical, RGB, panchromatic, multispectral, hyperspectral, LiDAR, SAR, infrared, etc.);
• Deep learning-based image fusion methods;
• Feature-level or decision-level image fusion;
• Computer vision methods in remote sensing image fusion;
• Other downstream tasks in the process that include, but are not limited to, remote sensing image classification, image segmentation, object detection, change detection, target recognition, unmixing, etc.

Prof. Dr. Fan Li
Dr. Haixia Bi
Dr. Qian Song
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.

• remote sensing
• image processing
• image enhancement
• deep learning
• image fusion
• image generation
• super-resolution images
• image quality assessments
• multi-modality