Fractal Analysis for Remote Sensing Data
A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "Engineering".
Deadline for manuscript submissions: closed (20 October 2023) | Viewed by 3405
Special Issue Editor
Interests: color features; color texture; color and complexity perception; multispectral and hyperspectral image segmentation; big data; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear colleagues,
Fractal analysis is a widely used multi-scale analysis of signals or, in general, natural phenomena exhibiting the self-similarity property. The main fractal analysis tool is the fractal dimension, which is a measure of the complexity of the analyzed signal. It can be used to characterize texture in images for the purpose of classification or image segmentation. Within the Big Data context in remote sensing today, as well as the freely available satellite images from the sentinels within the Copernicus program of the EU and the ESA, the need for rapid automatic analysis of satellite images has increased considerably. Fractal analysis can offer solutions for performing various tasks on remotely sensed images for Earth Observation applications, such as classification of land cover, analysis of river network complexity or coastline, etc. “How long is the coast of Britain?” The really open question, however, is how to adapt the existing tools to the spectral nature of the data and apply fractal analysis to remotely sensed data, as well as how to provide references for calibration of the proposed tools.
The aim of this Special Issue is to advance research on topics relating to the theory, design, implementation, and application of fractal analysis for remote sensing data. Topics that are invited for submission include (but are not limited to):
- Fractal dimension of multispectral and hyperspectral images;
- Fractal dimension estimation on remotely sensed data;
- Texture classification based on fractal features or descriptors;
- Remotely sensed image segmentation using fractal analysis;
- Fractal analysis for Earth Observation applications;
- Acceleration and parallel implementations of fractal analysis approaches.
Prof. Dr. Mihai Ivanovici
Guest Editor
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. Fractal and Fractional is an international peer-reviewed open access monthly 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.
