Pattern Recognition and Image Processing for Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: closed (29 February 2020) | Viewed by 39742
Special Issue Editors
Interests: Advanced Driver Assistance Systems (ADAS); scene understanding; sensor processing (Radar, LiDAR, camera, thermal); machine learning; digital image and signal processing
Special Issues, Collections and Topics in MDPI journals
Interests: signal processing and pattern recognition; automated target detection; image fusion; image information mining
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; compressive sensing; computational imaging; radar and array signal processing; digital signal and image processing; remote sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
There is great need for pattern recognition and image processing in remote sensing. The field of remote sensing seeks to answer important questions such as: What is the land use in a certain area? What land cover classes make up a region? How much of a certain crop is planted in the southern part of a state? How many vehicles drive this highway? to name a few. The list is practically endless. The algorithms, methods and procedures to answer these questions greatly rely on pattern recognition and image processing. It is for this reason that we proposed this special issue.
This special issue is geared towards high-quality papers in the broad area of pattern recognition and image processing in remote sensing. Papers should have both a theoretical and an experimental component, and thus provide advances to the state of the art and also to practical implementation.
Scope: All imaging modalities (hyperspectral, multispectral, synthetic aperture radar (SAR), LiDAR, radar, thermal, multitemporal, etc.) are welcome. Remote sensing platforms can include unmanned aerial systems (UASs), airplanes, satellites, robots, undersea vehicles, autonomous vehicles, etc., and also any situation where the sensors are not in contact with the sensed environment.
This special issue topics include, but are not limited to, the following categories:
- Classification
- Pattern recognition
- Object recognition and detection
- Land cover/land use
- Anomaly detection
- Scene understanding
- Multi-sensor processing and fusion
- Deep learning and other data-driven methods
- Machine learning techniques
- Optimization techniques
- Parameter estimation techniques
- Systems or subsystems for use in robotics, UAS, or autonomous vehicle navigation and mapping
- Uncertainty characterization
- Probabilistic methods
- Sparsity-based techniques
Dr. John Ball
Dr. Nicolas H. Younan
Dr. Ali C. Gurbuz
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
- Pattern Recognition
- Image Processing
- Deep Learning
- LiDAR
- Hyperspectral
- Synthetic Aperture Radar
- Fusion
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