Deep Learning and Soft Computing in Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "AI Remote Sensing".
Deadline for manuscript submissions: closed (15 December 2023) | Viewed by 4212
Special Issue Editors
Interests: machine learning; deep learning; soft computing; high-performance computing; computer vision; image processing
Special Issues, Collections and Topics in MDPI journals
Interests: image analysis and interpretation; remote sensing; geomonitoring; parameter estimation; time series analysis
Special Issue Information
Dear Colleagues,
Deep learning (DL) and SoftComputing (SC) technologies are creating many new real-world applications in broad areas of science such as in remote sensing (RS). These new innovative applications of DL and SC learning approaches to complex systems for RS have increased in the last few years. Specifically, remotely sensed data can provide the basis for timely and efficient analysis in several fields, such as land usage and environmental monitoring, cultural heritage, archaeology, precision farming, and the monitoring of human activity, among many scenarios of interest in RS.
Specifically, this Special Issue (SI) is focused on research that addresses real-world RS problems by using novel approaches from both DL and SC paradigms. Therefore, the purpose of this SI is to broadly engage the communities of RS, DL, and SC together in order to provide a forum for researchers and practitioners interested in this rapidly developing field, and share their novel and original ideas regarding the scope of this SI. Additionally, survey papers addressing relevant topics of DL and SC applied to RS are also welcome. The topics of interest include, but are not limited to:
- DL and SC for data classification and pattern recognition;
- Image registration and multisource data integration or fusion methods;
- Deep adversarial learning for RS;
- The cross-calibration of sensors and cross-validation of data/models;
- The direct georeferencing of images acquired using different platforms;
- Nature-inspired and metaheuristic algorithms for RS Guest Editors.
Prof. Dr. Jose Santamaria
Prof. Dr. Antonio Romero-Manchado
Prof. Dr. Joaquin Salvi
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
- Remote sensing
- Soft computing
- Deep learning
- Surveillance
- Satellite data
- Hyperspectral image processing
