Remote Sensing Image Denoising, Restoration and Reconstruction

Dear Colleagues,

During image acquisition process remote sensing images are corrupted by various kinds of degradations, such as noise, geometric distortions, changes in illumination, blur (motion, atmospheric turbulence, out-of-focus), etc. Image restoration/reconstruction (IR) is an inverse imaging problem aiming at estimating original images from the observed distorted ones. IR can be applied on a sensor data at the pre-processing stage, to improve image quality and to support further stages of data analysis, object detection and classification, or at the post-processing stage, to reduce distortions caused by lossless coding of images (blocking and ringing artifacts).

This Special Issue will present recent advances in inverse imaging of remote sensing data. Specifically, novel model-based, machine learning methods, or hybrid methods of image restoration, image denoising, deblurring (blind and non-blind), image super-resolution will be of special attention.

Topics of interest include but are not limited to:

• Image denoising
• Image deblurring (blind and non-blind)
• Image super-resolution
• Image dehazing and de-raining
• Image compression artifacts reduction
• The effect of image restoration on clustering, classification and target detection
• Sparse representation and low-rank approximation for image restoration in remote sensing
• Deep learning models for image restoration, with emphasis on robustness to adversarial attacks and data variation
• Multimodal image restoration and joint restoration and fusion of multi-sensor data

Prof. Dr. Karen Egiazarian
Prof. Dr. Aleksandra Pizurica
Prof. Dr. Vladimir Lukin
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.