Deep Learning and Computer Vision in Remote Sensing-II
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "AI Remote Sensing".
Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 36323
Special Issue Editors
2. Information Solutions, Geological Survey of Finland GTK, Espoo, Finland
Interests: computer vision; sensor fusion; autonomous systems; remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; deep learning; data analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computer Vision (CV) have seen a massive rise in popularity in the remote sensing field over the last few years. This success is mostly due to the effectiveness of deep learning (DL) algorithms. However, remote sensing data acquisition and annotation, as well as information extraction from massive remote sensing data, are still challenging.
We are pleased to announce this Part II Special Issue, which will follow on from Part I, focusing on deep learning and computer vision methods for remote sensing. This Special Issue will give researchers the opportunity to explore the abovementioned challenges. We seek collaborative contributions from academia and industrial experts in deep learning, computer vision, data science, and remote sensing fields. Major topics of interest, although by no means exclusive, are as follows:
- Satellite image processing and analysis based on deep learning;
- Deep learning for object detection, image classification, and semantic and instance segmentation;
- Deep learning for remote sensing scene understanding and classification;
- Transfer learning, deep reinforcement learning for remote sensing;
- Supervised and unsupervised representation learning for remote sensing environments;
- Applications.
Dr. Fahimeh Farahnakian
Prof. Dr. Jukka Heikkonen
Guest Editors
Pouya Jafarzadeh
Guest Editor Assistant
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.
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